Analytical Methods to Develop Accurate Structural Model for the Asmari
Reservoir
Abstract: Crossing of Asmari can be a challenging endeavor in certain instances, particularly when dealing with
structural complexities, compounded by the presence of a substantial layer of Gachsaran formation evaporates
overlying the reservoir. The primary aim of this study was to establish a precise and comprehensive structural model
for the Asmari reservoir. Utilizing geological logs for dip classification offers the advantage of directly depicting
the structural origin. This approach helps in identifying the Asmari fault and fracture systems and their impact on
production, ultimately resolving structural complexities. To investigate the reasons behind the intersection of the
Kalhur member and the unexpected increase in the thickness of the Asmari formation, FMI data was acquired over
the interval ranging from 1550m to 2065m. The analysis of picked bedding dips revealed abrupt variations in dip
magnitude and azimuth reversals. These observations were pivotal in unraveling the structural intricacies of the
reservoir. A significant fault was identified within zone five of the Kalhur member, and its interpretation suggests
that it is a reverse fault. This conclusion is based on the observed dip pattern and the distinctive characteristics of
the logs. Around the fault, the beds and layers exhibit elevated dips, largely attributed to the plastic nature of
anhydrite and marly/shaly anhydrite within the formation. The anhydrite-indicator curve obtained from the FMI
and gamma-ray logs provides further evidence that the well entered the Kalhur member after intersecting the major
fault located within this particular zone. The interpretation of structural dip played a pivotal role in resolving
structural complexities, leading to the precise determination of the well's location within the Asmari reservoir. This
achievement was particularly critical as it enabled the well to reach the lower contact of the Asmari formation. This
interpretation was facilitated by analyzing FMI images and petrophysical logs in well LL-26.
Keywords: Structural complexity, FMI, fractured reservoir, geological, petrophysical log, structural model,
strucview, Fracture analysis
Received: July 15, 2022. Revised: September 9, 2023. Accepted: October 5, 2023. Published: November 27, 2023.
International Journal of Chemical Engineering and Materials
DOI: 10.37394/232031.2023.2.12
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1ZOHREH MOVAHED, 2ALI ASGHAR MOVAHED
1Schlumberger, Kuala Lumpur, MALAYSIA
2Ahawz Oil and Gas Research Department, IRAN
1. Introduction
The Zagros Mountains are a geological wonder
characterized by their concentrically folded
formations, a result of tectonic forces shaping the
Earth's crust over millions of years (Movahed et al.,
2015). Within this mountain belt lie complex and
intricate geological structures, each playing a crucial
role in determining the success of various development
projects, particularly in the oil and gas industry(Fig. 1).
Understanding the precise angles at which these
geological layers dip and identifying subsurface fault
patterns becomes paramount for planning and
executing well developments. However, the challenge
lies in the variability and unpredictability of these
formations. Sometimes, the thickness of these
geological layers surpasses initial expectations due to
numerous factors. It could be the result of steeper-
than-anticipated bedding dips or the presence of
unexpected reverse faults.
Pinpointing the exact cause of these unpredictably
greater thicknesses can be a significant challenge
(Eynollahi, 2009). Imagine drilling a well with a
certain projection of the layers' thickness, only to
discover that the actual thickness far exceeds the
projections. This discrepancy can arise due to
geological complexities, such as encountering
unexpected steep dips or faults that weren't accounted
for initially.
Even regions that seem to have low dip angles at the
surface may unveil steep dips as drilling progresses
deeper into the Earth (Movahed et al.,2022). This
sudden variation can lead to wells missing their
intended targets, resulting in an inability to access the
desired reservoirs or oil columns, despite penetrating
what was believed to be the reservoir zone.
Consequently, wells might need to be redirected or
sidetracked in the correct direction to access these
previously overlooked reservoirs or oil pools.
The intricate nature of the Zagros Mountains'
geological formations presents a constant challenge for
those involved in drilling and exploration. It
underscores the importance of not only initial surveys
but also continuous monitoring and adaptive planning
during the drilling process to ensure accurate targeting
of valuable resources hidden beneath the Earth's
surface.
Well LL-26 is a significant location within the Lali
field, positioned specifically in the Eastern south
region of the onshore site in Iran. The drilling
operations for this well were executed using an 8.500”
bit, a substantial tool in the oil drilling process, with a
maximum deviation of 24 degrees towards the North-
Earth direction over the image log interval(Fig. 2).
The choice of an 8.500” bit indicates a sizable
borehole diameter, allowing for efficient drilling while
considering the geological formations encountered.
The 24-degree deviation is crucial as it denotes the
directional drilling technique used to reach the desired
target or reservoir while avoiding obstacles or
unfavorable formations. Such precision in directional
drilling is vital in optimizing the extraction process
and ensuring the efficient recovery of resources.
The Lali field itself holds significant importance
within the oil and gas industry, characterized by its
onshore location in Iran. The geographical positioning
in the Eastern south part of the field suggests a
strategic placement, potentially tapping into specific
reserves or geological formations unique to this area.
Furthermore, the duration of the study, conducted for a
period of 2 months at Schlumberger, signifies a
comprehensive evaluation and analysis of the well.
This study period likely involved a detailed assessment
of various parameters, including geological data,
wellbore conditions, reservoir characteristics, and
production potential.
The information collected during this study at
Schlumberger would contribute significantly to
understanding the behavior of well LL-26, aiding in
decision-making processes related to further drilling
operations, reservoir management, and overall field
development strategies.
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The combination of the well's location, drilling
specifications, and the comprehensive study period at
Schlumberger reflects a meticulous approach to extract
valuable resources while ensuring efficient and
sustainable oil and gas production within the Lali field
in Iran.
The target reservoir is the Asmari Formation. The
Asmari Formation, characterized by its substantial
carbonate sequence from the Oligocene-Miocene
period, is renowned as one of the world's most
prominent carbonate reservoirs(Hassan et al.,2010).
The Asmari Formation is lithologically characterized
by limestone, dolomite, marly limestone, and the
presence of anhydrite within the Kalhur Member, all
of which are relevant to the geological composition in
this area. The primary drilling objective for this well
was to achieve production from the upper Asmari
zones while determining the fluid contact within the
reservoir.
During the drilling process, an unexpected occurrence
took place, with the well penetrating the top of the
Asmari Formation at an unexpected depth,
approximately 1542 meters, as indicated by both log
and cutting data. Subsequently, the well intersected the
Kalhur members after drilling through about 521
meters. Despite continued drilling efforts, the well was
unable to exit the Kalhur member.
In this complex geological setting, borehole imaging
logs(Chokthanyawat et al.,2012) played a critical role
in detecting the structural and reservoir geometry.
Accurate reservoir description through the use of
image logs, particularly in thinly laminated reservoirs,
emerged as a key factor in facilitating effective field
development (Yang, et al.,2011). Structural and
reservoir geologists can readily identify fracture
features and classify different types of fractures along
the wellbore by directly utilizing the FMI (Formation
MicroScanner) log (Rezaie et al.,2006), moreover, in
situations where seismic data is unavailable, the FMI
log serves as a valuable tool for these geologists,
enabling them to provide essential information that can
be used to develop dependable solutions for significant
geological challenges. (Soliman et al.,2010).
To unravel the intricacies behind the convergence of
the Kalhur member and the unanticipated surge in the
Asmari Formation's thickness, a meticulous Formation
MicroImager (FMI) survey was meticulously carried
out. Spanning from 1550 meters to 2065 meters, this
survey was a critical endeavor aimed at scrutinizing
the dip patterns along the well trajectory. Its primary
objective was to craft an intricate structural model,
serving as a navigational blueprint for the National
Iranian South Oil Company (NISOC) to undertake a
targeted sidetrack, specifically accessing the upper
zones of the Asmari reservoir.
This investigative endeavor was fraught with multiple
challenges. The initial well's failure to breach the
Asmari reservoir, leading to the initiation of Sidetrack
1, necessitated meticulous planning for a subsequent
sidetrack, further compounded by stringent time
constraints. Complicating factors included a steep
structural dip, a labyrinthine fault system, and the
considerable depth of the geological formations
involved. Overcoming these obstacles became
imperative for the successful fruition of the project.
The fundamental aim of this comprehensive study lay
in comprehending the unexpected intersection of the
Kalhur member, the abrupt thickening of the Asmari
formation, and devising a strategic roadmap for a new
sidetrack based on these revelations. To accomplish
this, the study harnessed an extensive array of datasets,
notably relying on the comprehensive Full set and
Formation Micro-Imager (FMI) log data. These
datasets formed the cornerstone of an exhaustive
analysis, precisely tailored to meet the study's
objectives.
The essential role played by FMI log data in this
investigative pursuit cannot be overstated. Its
exceptional image quality provided an unparalleled,
intricate portrayal of the geological structures
ensconced within the well. This high-fidelity data
facilitated precise interpretations of the well's
structural nuances, enabling the meticulous
identification, description, and quantification of
fractures and faults inherent within the formations.
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The identification and characterization of these
fractures and faults stood as pivotal milestones in
comprehending subsurface geology. These geological
features wield significant influence over fluid behavior
within reservoirs, ultimately impacting the efficacy of
drilling operations. The study's primary endeavor
revolved around accurately pinpointing and gauging
these attributes to fathom how they might have
influenced the unexpected Kalhur formation
intersection and the sudden Asmari formation
thickening.
Furthermore, the insights derived from studying the
FMI data, synergized with other relevant datasets such
as the Full set logs, well-found invaluable insights for
orchestrating a new sidetrack. A profound
comprehension of the encountered geological
intricacies and anomalies within the wellbore forms
the bedrock for devising a strategically optimized
sidetrack, adept at navigating these complexities while
optimizing drilling success.Hence, the study required
to harness the granular analysis of the Full set and FMI
log data not only to comprehend the underlying
reasons behind the encountered geological anomalies
but also to steer strategic decisions pertaining to future
drilling endeavors. Particularly, the study focused on
crafting an efficient sidetrack blueprint, meticulously
tailored to circumvent the challenges posed by these
unforeseen geological formations and variations.
Fig. 1: Illustrates the notable anticline formations within the Foreland basin of the Zagros Mountains, exhibiting a trend from the
northwest to the southeast (Motiei, 1995).
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Fig. 2: Displays the location map of well#LL-26 situated within the Lali field. Source: (NIOC South UGC map).
2. Materials and Methods
The methodology encompassed a thorough utilization
of the FMI (Formation Micro-Imager) and the Full set
log data, ensuring a comprehensive analysis. The
initial step involved processing the FMI data with
BorEid to heighten log quality, ensuring accuracy and
reliability in subsequent assessments. All
petrophysical logs and accompanying images were
meticulously matched to a reference log based on their
respective depths. To enhance the interpretability of
formation features, the images underwent equalization
and normalization via BorNor, refining their
visualization.
The representation of image logs was strategically
designed: resistive units appeared vividly in bright
hues, while lower resistivity conductive units were
visualized in darker shades. The interpretation process
kicked off with a meticulous manual selection of dips,
employing sinusoidal techniques on oriented images
presented at a scaled-down ratio of 1:20. This
downscaled representation aimed to minimize
potential human errors in the selection process.
The selected dips were then meticulously classified
into two categories: bed boundaries and fractures,
leveraging the capabilities of Borview. The primary
geological structures, notably visible in the FMI image
log, predominantly comprised bedding and various
sedimentary features. To handle the geological dip
information efficiently, Strucview was employed,
facilitating the display and categorization of dips into
distinct sets representing different geological
structures.
Within these categorized sets, the computation of
cross-sections was carried out with precision.
Specifically, a computer-generated cross-section was
developed in Strucview, following an NNE-SSW
plane, relying on the compiled dip data .This cross-
sectional representation offered a comprehensive
visualization of the geological formations along the
specified plane, aiding in the subsequent analysis and
interpretation of the geological features captured
within the dataset(Fig. 3).
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Fig. 3:A comprehensive visualization of the study's workflow, offering an intricate overview of the step-by-step processes
undertaken during the research. This workflow acts as a roadmap, outlining the sequential stages and methodologies employed in
the study, guiding researchers through the systematic approach used to analyze the Asmari Reservoir.Additionally, there's a
flowchart specifically delineating the processing chain utilized for the Formation Micro-Imager (FMI) images.
3. Result and Discussion
Borehole image logs are pivotal tools within the oil
and gas industry, particularly for exploring and
developing reservoirs. These logs provide invaluable
insights into the geological structures below the
surface. Specifically, they are instrumental in detecting
and characterizing both the structural makeup and
reservoir geometry, which is crucial for successful
field development.
In thinly laminated reservoirs, where rock or sediment
layers are extremely thin, accurately understanding
their composition becomes challenging yet absolutely
essential for effective field development. Borehole
image logs step in to address this challenge by offering
comprehensive details regarding the composition,
orientation, and distribution of these thin layers within
the reservoir.
These logs capture high-resolution images of the
borehole walls, uncovering intricate details like
bedding planes, fractures, faults, and other geological
features that traditional logging methods might
overlook. Geoscientists and reservoir engineers
analyze these images to deduce critical information
about the reservoir's nature, including its porosity,
permeability, and other vital properties.
Precise interpretation of borehole image logs leads to
more accurate reservoir modeling and assists in
optimizing well placement and completion strategies.
Understanding the structural and reservoir geometry in
thinly laminated reservoirs holds immense importance
in estimating reserves, predicting fluid flow behavior,
and designing efficient production strategies.
Fundamentally, employing borehole image logs to
characterize thinly laminated reservoirs is
indispensable for making informed decisions during
field development. It allows the industry to maximize
hydrocarbon recovery while minimizing operational
risks and costs. Ultimately, this significantly
contributes to the overall success of oil and gas
operations by enabling informed and strategic
decision-making throughout the development process.
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3.1 Complex Structural Study Results in
Asmari Formation
The comprehensive investigation into the Complex
Structural Analysis of the Asmari Formation was a
thorough endeavor that delved deeply into the
geological layers. By meticulously examining Full Set
and Formation Micro-Imager (FMI) images, a wealth
of multifaceted insights emerged. These analyses
served as a cornerstone, revealing the presence of five
unique lithological units embedded within the
formation.
So far, what truly piqued curiosity was the intricate
nature of their arrangement. Despite the clarity in
identifying these distinct units, their distribution
exhibited a fascinating pattern marked by
fragmentation. Within the well section that was
explored, these units lacked continuous connections,
presenting a puzzling aspect to the geological
composition of the Asmari Formation.
The distinct geological formations within the Asmari
formation can be classified into several lithological
units: anhydrite, shaly/marly anhydrite, shale/marl,
dolomite, and calcite. These units predominantly
populate the upper strata of the formation. Among
these formations, a keen focus lies on the stratification
evident within the shaly/marly limestone and its
associated intervals.
What captures particular attention are the visually
arresting patterns discernible in the upper layers.
These patterns are characterized by a rhythmic
alternation between porous carbonate layers and tight,
low-porosity carbonate layers. Adding to the
complexity, this stratification also exhibits streaks or
layers of anhydrite. In some instances, these anhydrite
layers intertwine intricately with carbonate formations,
imparting a multifaceted structural composition to the
geological landscape. This interplay of different
materials hints at a dynamic history and intricate
processes shaping the Asmari formation over time.
A total of 133 boundaries were carefully identified
from the FMI (Formation MicroScanner) images
through an interactive process. Due to the limited
certainty in identifying bed boundaries, we also
included lower-confidence indications of bedding dips
in our analysis to determine structural dip. Considering
the various types of bedding dips, an average dip
magnitude of 33 degrees across the entire interval (as
illustrated in Fig. 4 can be used to calculate the
structural dip.
The investigation into the bedding dips right below the
casing shoe reveals a consistent pattern: an average dip
of approximately 24 degrees, consistently aligned in
the S38W direction. These specific structural features
hold significant importance due to the intricate nature
of the Asmari carbonate formations. Understanding
these complexities is vital for effectively
characterizing and managing the reservoir. The
challenges posed by the unique properties of Asmari
carbonates emphasize the critical nature of
comprehending these structural intricacies for
successful reservoir characterization and management.
This in-depth examination delves into the intricate
variations in rock composition, layering patterns,
structural intricacies, and the characterization of
fractures within the Asmari formation. Its significance
lies in being a pivotal cornerstone for crafting highly
efficient strategies to manage reservoirs effectively
and devising the most optimal methods for extracting
hydrocarbons.
Moving beyond structural considerations, a critical
aspect of the study involves the detailed
characterization of fractures within the Asmari
formation. These fractures wield significant influence
over the reservoir's behavior, impacting fluid flow
dynamics and reservoir productivity.
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Fig. 4: A)A comprehensive depiction of the layering within the Asmari formation is presented. This visual representation likely
showcases the intricate stratification and arrangement of the geological layers within the formation. Each layer may vary in terms
of composition, density, or other geological characteristics, contributing to the overall structure and behavior of the Asmari
reservoir,B) offers statistical plots that specifically highlight the bedding dips within this geological formation. These plots serve
to illustrate the distribution and orientation of the bedding planes. The indicated average dip of 24 degrees, inclined in the
direction of S38W and striking along the N52W-S52E axis, emerges as a key finding. This average dip inclination serves as a
crucial characteristic, considered highly representative of the entire span or interval covered by the Asmari Formation.
3.1.1 Analytical Fracture Characterization Result in Asmari formation
Fractures play a crucial role in facilitating fluid
movement, whether it's water or hydrocarbons. Highly
fractured rocks can serve as excellent aquifers or
hydrocarbon reservoirs due to their ability to maintain
both significant permeability and fracture porosity.
These fractures create pathways that allow fluids to
flow more readily through the rock, making them
valuable for various subsurface fluid containment and
transport applications. (Park, 2005).
In addition to dealing with structural complexities, it is
crucial to determine the presence of productive
fractures in a well that is intersecting a reservoir with
very low matrix permeability. Given that most
reservoirs in this basin are composed of carbonates
and have undergone a complex tectonic history, the
likelihood of encountering both favorable and
unfavorable fractures in these reservoirs is quite high.
The fractures and faults in such formations reveal
intricate geometry and timing relationships, making
their assessment and characterization a vital aspect of
reservoir exploration and development. (Movahed et
al.,2015).
The primary challenge lies in pinpointing the locations
within the reservoir where fractures are most
concentrated and determining their orientations
concerning the structural axis, predominant stress
regime, and the positions of gas-oil or oil-water
contacts. It's essential to recognize that fracture
B
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apertures can vary, ranging from open (permeable),
tight (closed), to those filled with minerals such as
clays, calcite, anhydrite, and pyrite. These variations
can significantly impact fluid flow within the
reservoir, affecting both productivity and reservoir
management strategies.
Hence, a comprehensive understanding of fracture
intensity, orientation, and mineral infill is crucial for
optimizing reservoir production(Nimmagadda et
al.,2010). Fractures typically manifest as linear
features with a steeper dip than the structural dip
observed in the FMI images. Open fractures appear
conductive in the images due to the intrusion of
conductive drilling mud into their apertures,
particularly in clay-free formations. In contrast,
mineralized or sealed fractures exhibit resistive
characteristics when their apertures are densely filled
with materials like calcite or anhydrite. On the other
hand, fractures filled with clay or pyrite display a
conductive response.
Distinguishing between mud-filled and clay/pyrite-
filled conductive fractures necessitates a deep
understanding of the depositional and stratigraphic
context in the study area. Open hole logs can be
extremely useful in addressing this distinction.
In the existing well, a comprehensive analysis has
revealed the presence of fractures across five separate
zones, with sporadic instances of isolated occurrences.
What sets these fractures apart is that each of them
exhibits open apertures, categorizing them as open
fractures. These fractures, crucially, are distributed
within the depth range of 1560 to 1760 meters. This
particular observation holds immense significance as it
provides crucial insight into the reservoir's
characteristics, offering valuable information for
assessing its potential. Moreover, this knowledge
becomes instrumental in devising and refining optimal
production strategies, as depicted in Fig. 5
In the well analysis, a comprehensive count of 430
fractures has been meticulously documented. These
fractures, when observed collectively, showcase a
unique and intriguing pattern. This distinctiveness
becomes apparent when examining the dip azimuth
plot, revealing a widely scattered arrangement. Despite
this scattered distribution, a predominant southwest-
oriented azimuth emerges, accompanied by a
noteworthy inclination in the dip.
To investigate further into the details, it's notable that
fractures within the Asmari formation, as identified in
the analysis, tend to conform to a prevailing
northwest-southeast (NW-SE) strike orientation.
However, what's particularly intriguing is the
considerable variability observed within this
orientation, indicating a broad spectrum of orientations
within this overarching trend. This variability suggests
a complex interplay of geological factors influencing
the fracture distribution and orientation within the
Asmari formation.
The fractures' dip inclination, or their angle of
deviation from the horizontal plane, displays a
significant range, spanning from a gentle 34 degrees to
a steep 90 degrees. This diversity in angles offers
crucial information about the reservoir's structural
makeup. Understanding these angles is vital because
they shed light on how fluids might traverse through
the formation. This data, as illustrated in Fig. 6, holds
key insights into the reservoir's structural intricacies
and the potential pathways for fluid flow within it.
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A
B
Fig. 5: A)Header details ,B)The presence of open fractures highlighted by blue circles within the Asmari formation. These
fractures exhibit an oblique orientation concerning the bedding strike. The fractures, represented by the blue circles, are visibly
distinct and appear to intersect the bedding plane at an angle rather than perpendicular or parallel to it. This oblique angle
suggests a unique geological phenomenon, possibly indicating the manner in which these fractures were formed or influenced by
various forces acting upon the Asmari formation.
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A
B
Fig. 6: A) Exposed fractures within the Asmari formation, B) A Schmidt projection plot (upper hemisphere)
showcasing the distribution of fracture dip poles. The histogram depicting their dip inclinations reveals a broad range,
while the dip azimuth rosette indicates a predominant southwest dip direction, albeit with considerable variability.
Similarly, the strike rosette displays a prevailing NW-SE strike, yet with significant dispersion in orientations.
3.1.2 New Analytical Discovery in Complex Fault System Analysis :
Faults are typically defined as joints or fractures with
evident displacement. In the interpretation of
FMI/FMS images, several factors are considered to
identify a feature as a fault. The most commonly
observed criteria for fault identification are outlined
below. However, it's important to note that not all of
these criteria need to be present for every fault
encountered in a well:
Abrupt Change in Dip Attitude: This
includes a sudden shift in either the magnitude
or azimuth of the dip across the high-angle
feature or zone.
Drag Patterns: Dips indicating short or long
drag patterns may be observed in either the
up-thrown block, down-thrown block, or both.
Disturbed or Crushed Zone: The presence of
a disturbed or crushed zone surrounding the
fault can be indicative.
Change in Borehole Drift: An unexpected
change in the borehole's drift or deviation
azimuth may occur in the vicinity of the fault.
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High Angle Resistive or Conductive Events:
Significant high-angle resistive or conductive
events that develop across the wellbore.
Enlarged Borehole: The borehole may
exhibit enlargement at the point of intersection
with the fault.
Shift in In-Situ Stresses: A shift in the trend
of in-situ stresses may be associated with the
fault.
Abrupt Termination of Layers: In cases
where no drag pattern is evident, abrupt
termination of layers on the fault plane can be
a sign.
Change in Fault-Bounded Layer Thickness:
Variations in the thickness of the fault-
bounded layer as it crosses the wellbore.
Occurrence of Fractures: The presence of
fractures is a well-accepted method for
determining the potential fault direction in a
given area, as it can provide valuable insights
into fault orientation.
When identifying faults, it holds huge significance to
precisely factor in a range of criteria. These criteria
should be carefully analyzed within the unique
geological and structural makeup of the well and its
immediate surroundings. Understanding the intricate
interplay of these criteria within the geological context
is pivotal. It involves scrutinizing the well's specific
characteristics, such as its geological formations,
structural integrity, and the broader geological
landscape encompassing it. Only by delving into these
intricate details can one effectively pinpoint and
comprehend the faults present in this complex
geological setting.
Anhydrite, with its distinctively high resistivity and
remarkably low conductivity, stands out as a notable
feature within the Asmari formation. Identification of
this mineral involves a thorough analysis of various
data sources, including detailed examination of images
and careful study of conductivity/resistivity curves.
These tools serve as crucial indicators in recognizing
the presence and distribution of anhydrite within the
formation.
The examination of images and conductivity/resistivity
curves unveils the distinct signature of anhydrite,
allowing for its precise identification and mapping
within the Asmari formation. Furthermore, the data
gleaned from each pad's readings emphasizes a
noteworthy finding: a substantial and continuous
occurrence of anhydrite within the geological strata.
This continuity of anhydrite presence underscores its
significance and prevalence within this specific
geological context, providing valuable insights into the
composition and structure of the Asmari formation.
The cross-section provided by NISOC initially lacked
precision due to its intersection with the Kalhur
members, specifically the Anhydrite, which were not
originally intended to be part of the analysis.
Consequently, this deviation from the planned course
led to an oversight in recognizing the productive
permeable zones within the Asmari reservoir.
To rectify this, a new structural model was developed
using Formation Micro-Imager (FMI) data alongside
petrophysical logs. This updated model shed light on
the previously missed productive zones within the
Asmari reservoir. The incorporation of the FMI data
and petrophysical logs provided a more
comprehensive understanding of the structural
dynamics, allowing for a refined assessment of the
reservoir's potential.
In response to these critical insights, a detailed
analysis was carried out specifically on the FMI
images and open-hole logs, focusing on resistivity
readings, for the LL-026 well. This analysis aimed to
meticulously examine the geological formations and
assess the presence of permeable zones within the
Asmari reservoir. By leveraging these advanced
imaging and logging techniques, a more accurate
evaluation of the reservoir's characteristics and
potential productivity was pursued.
At approximately 1819 meters within zone five of the
Kalhur member, a significant fault was identified
through a comprehensive analysis that took various
critical observations into account. These observations
served as pivotal markers in identifying and
characterizing the fault:
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The structural dip within the Asmari reservoir
presents a consistent upward trend in
inclination as depth increases. This gradual
rise culminates in its peak value of 50 degrees
at a depth of 1810 meters, characterized by a
specific azimuth of NNW. However, a notable
deviation in this pattern occurs at 1819 meters,
where a high-angle dip of 59 degrees is
observed. This 59-degree dip stands in
contrast to the typical bedding dips, showing a
nearly opposite direction inclined towards
SSW.Fig. 7 illustrates a significant fault within
the geological structure, prominently
manifesting at 1819 meters. This fault exhibits
a steep dip of 59 degrees with an orientation of
N18W and a striking direction spanning
N72E-S72W. The juxtaposition of this fault's
characteristics against the surrounding
geological features highlights its
distinctiveness within the Asmari reservoir,
marking a pivotal structural element that
significantly diverges from the general dip
trends and orientations observed in the
area.Moreover, an additional potential fault
was discerned within zone five of the Kalhur
members, indicating a repeated section. This
identification suggests the likelihood of a
fault-induced repetition of geological layers
within this specific zone of the Kalhur
members, further contributing to the structural
complexity and geological variations within
the reservoir.
Between the depth levels of 1805 to 1820
meters, a distinctive geological feature known
as a "drag zone" shows within the up-thrown
block. This zone is characterized by a obvious
and notable downward surge in the magnitude
of dip. This dip magnitude signifies the angle
at which the rock layers or geological strata
are inclined concerning the horizontal
plane.The occurrence of this downward
increase in dip magnitude denotes an area
where geological forces or structural
movements have exerted an influence,
resulting in a dragging effect on the
formations within the up-thrown block. This
alteration in dip angle within this specified
depth range signals localized geological
complexities, possibly arising from various
tectonic activities, faulting, or other subsurface
processes.Identifying this drag zone holds
paramount significance in unraveling the
intricate geological dynamics within the
Asmari Reservoir. It serves as a significant
sign of potential structural disturbances or
differential movements within this specific
depth interval, contributing profoundly to the
comprehension of the reservoir's geological
evolution and aiding in more accurate
predictive models of its behavior(Fig. 8).
Within the interval of 1823.5 to 1844 meters, a
distinct and disrupted zone is identified within
the Asmari reservoir. This zone exhibits a
notable characteristic where the dips of
geological layers point in diverse directions,
showcasing a lack of consistent orientation.
Additionally, a specific high-angle feature is
observed in a NNW (north-northwest) dipping
direction around the depth of 1825 meters
within this disturbed zone.As the analysis
descends below this disturbed zone, the
pattern of bedding dips undergoes a shift.
Specifically, in the subsequent interval
spanning from 1844 to 1998 meters, the
bedding dips within the Asmari reservoir
regress to an average inclination of
approximately 22 degrees in the SSW (south-
southwest) direction.This shift in the dip
behavior denotes a transition from the earlier
disrupted zone, where the dips were scattered
in various directions, to a more uniform
bedding orientation characterized by an
average dip of 22 degrees in the SSW
direction. Understanding this transition aids in
comprehending the structural alterations and
variations within the reservoir, delineating
distinct zones with different dip characteristics
that can significantly impact the reservoir's
geological behavior and fluid flow
dynamics(Fig. 8).
In addition to the direct examination of the images,
open-hole logs were employed to confirm a fault or
qualify a feature as a fault in cases where the factors
listed in the above-mentioned criteria did not entirely
apply. This helps validate the interpretation of the
fault.Log analysis involves two crucial steps to
interpret potential faults or fractures:
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Identification through Log Characteristics:
One fundamental step is recognizing abrupt
changes in log characteristics coinciding with
distinct features in Formation Micro-Imager
(FMI) images. These changes often indicate a
fault. For instance, a sharp, sudden alteration
in the logs across a notable feature might
signal either a fracture or a fault with a
minimal displacement, where the same
geological layer or formation appears on either
side of the feature (refer to Fig. 8 for visual
representation).
Correlation of Logs for Validation: Another
significant aspect involves cross-referencing
logs obtained from different boreholes or
various segments within the same well. This
comparison aims to ascertain if a particular
zone repeats itself or disappears concerning
the feature interpreted as a fault in the images
(as shown in Fig. 8). This correlation process
serves as a crucial validation method to
support the interpretation of the identified
fault or fracture.
These methodical steps work together in a coordinated
manner, combining their effects to profoundly enhance
our grasp and verification of potential faults or
fractures found within geological formations. By
harmonizing these processes, they collectively elevate
the precision and depth of interpretation when delving
into the exploration or analysis of subsurface
conditions.
This comprehensive approach not only identifies
potential faults or fractures but also strengthens the
confidence and accuracy in understanding the intricate
dynamics of the underground environment. It's an
interwoven strategy that validates and refines our
insights, ensuring a more reliable understanding of the
geological structures hidden beneath the surface.
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A
B
Fig. 7: A) It presents a composite representation that amalgamates several vital data sets, including orthogonal calipers (C1 and
C2), GR (Gamma Ray), FMI (Formation MicroScanner) static normalized images, dip measurements, well deviation details,
FMI-detected fractures, as well as RHOZ (Density), NPHI (Neutron Porosity), PEFZ (Photoelectric Factor), and resistivity
curves. This comprehensive compilation offers a holistic view of various aspects crucial for understanding the formation's
geological attributes and potential reservoir characteristics.B) Notably, the visualization highlights a significant fault within zone
five of the Asmari formation. This fault exhibits a distinct inclination, dipping toward the NNW (North-Northwest) at an angle of
59 degrees. Understanding the presence and orientation of this major fault is pivotal in comprehending the structural layout of the
formation, its potential impact on fluid flow dynamics, and the distribution of reservoir properties within the Asmari formation.
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A
B
Fig. 8: A) Header details. B) Composite plot featuring orthogonal callipers (C1 and C2), GR, FMI static normalized images, dips,
well deviation, FMI fractures, RHOZ, NPHI, PEFZ, and resistivity curves within the Asmari formation. The amalgamation of
FMI and open hole logs (resistivity) reveals a significant fault at 1819m within zone five of the Kalhur member.
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Strucview, a specialized software tool, played a pivotal
role in creating a computer-generated cross-section
following an NNE-SSW orientation. This construction
heavily relied on the wealth of dip data collected
through geological surveys.
One of the standout features of Strucview lies in its
proficiency in managing and interpreting geological
dip data. This software doesn’t just visualize dip data;
it goes further by autonomously grouping this data into
distinct sets that correspond to diverse geological
structures and formations.
Utilizing this automated grouping feature, Strucview
categorizes the dip data into coherent clusters, each
representing specific geological features or structural
elements found within the surveyed area. These
categorized groups act as a means to organize and
categorize the complexities of geological structures,
allowing for a clearer depiction of the subsurface
environment.
The computation of the cross-section within Strucview
functions based on these grouped sets of dip data. By
organizing the data into meaningful clusters that
represent different geological structures, the software
facilitates a more detailed and precise visualization of
the subsurface along the specified NNE-SSW plane.
This process significantly aids geologists and
researchers in comprehending the intricate geological
makeup and structural patterns within the surveyed
region, offering valuable insights into the subsurface
geology and its structural complexities.
Utilizing Strucview, a computer-generated cross-
sectional representation was meticulously crafted
along an NNE-SSW plane. This sophisticated software
harnessed the dip data acquired from the geological
surveys. Strucview stands out for its specialized
capabilities in managing and interpreting geological
dip data.
One of its key functionalities lies in its ability to not
only exhibit dip data but also to intelligently
categorize this data into distinct sets that correspond to
diverse geological structures. This automated grouping
feature within Strucview organizes the dip data into
coherent sets, each representing specific geological
formations or structural elements.
The cross-sectional computation performed by
Strucview operates on these categorized groups of dip
data. By organizing the data into meaningful clusters
based on geological characteristics, the software
facilitates a clearer and more comprehensive
visualization of the subsurface structures along the
designated NNE-SSW plane. This approach aids
geologists and researchers in deciphering and
analyzing the intricate geological formations present
within the surveyed area, offering valuable insights
mposition and structural arrangements.
The resulting cross-section reveals certain irregular
bedding planes, potentially indicating diagenetic
alterations within the geological formations. These
irregularities can be crucial in understanding the
history and characteristics of the rock layers, as they
may signify changes and transformations that have
occurred over time.
Using Strucview, a computer-generated cross-section
was constructed along an NNE-SSW plane, utilizing
the dip data specific to geological formations. This
software specializes in handling geological dip data,
enabling the visualization and automatic grouping of
this data into sets that represent various geological
structures.
The cross-section computation within Strucview is
accessible through categorized groups, facilitating a
more organized and comprehensive understanding of
the geological features being studied.
Upon analysis, the resulting cross-section reveals the
presence of irregular bedding planes. These deviations
from typical, uniform bedding patterns suggest
potential diagenetic alterations within the geological
formations. These alterations may signify processes
such as mineralogical changes, cementation, or other
geological transformations that have occurred over
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time, influencing the structural arrangement of the bedding planes (Fig. 9).
Fig. 9: presents a schematic representation generated by computer modeling, specifically utilizing the reverse-fault model,
focusing on a major fault within zone 5 of the geological structure.The schematic illustration provides a synthesized visual
depiction created through computational techniques. It aims to simulate and represent the geological structure, particularly
emphasizing a significant fault characterized by its reverse movement within zone 5.
The pattern of inclination, known as the dip, around
the significant fault seems to maintain a similar trend
to what's observed in the adjacent regions.
Specifically, a structural dip of about 24 degrees
toward the south-southwest (SSW) is identifiable and
can be attributed to both the sections above and below
the fault. This inclination holds true for both the drag
zone and the zone disrupted by the fault's presence.
This consistent dip pattern, approximately 24 degrees
in the SSW direction, extends across the geological
intervals located both above and below the faulted
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area. It's noteworthy that this inclination remains
relatively uniform within the zones affected by the
fault: the drag zone, where material has moved due to
the fault's movement, and the zone that has been
disturbed directly by the fault's presence.
Such uniformity in the structural dip pattern above and
below the fault, irrespective of the areas affected by
either drag or direct disturbance, implies a consistent
geological behavior in terms of inclination.
Understanding and mapping this consistent dip pattern
are critical as it provides insights into the structural
characteristics and orientation of the geological
formations affected by the fault, aiding in the
comprehensive analysis of subsurface conditions and
fault-related effects within the studied area.
Below the juncture where the fault intersects, a notable
augmentation in the thickness of anhydrite within the
Kalhur member of the Asmari reservoir becomes
apparent. This increase in anhydrite content serves as a
significant indicator that the well has re-entered the
Kalhur member of the Asmari reservoir.
Anhydrite, a mineral composed of calcium sulfate,
manifests itself distinctly within geological formations
and often indicates specific changes in lithology or
sedimentary environments. In this context, its
heightened presence suggests a re-entry into the
Kalhur member, a distinct section of the Asmari
reservoir.
This observation finds validation through various data
sources, notably the well logs and cross-sectional data.
These sources provide further evidence and support for
the re-entry into the Kalhur member of the Asmari
reservoir. The well logs, which record various
geological parameters and formations encountered
during drilling, likely exhibit characteristic signatures
indicative of the Kalhur member. Additionally, cross-
sectional data, which offer a visual representation of
subsurface geological structures, likely display distinct
features that align with the Kalhur member's known
attributes.
This convergence of evidence—augmented anhydrite
thickness below the fault intersection, supported by
well logs and corroborated by cross-sectional data—
strengthens the conclusion that the well has indeed re-
entered the Kalhur member of the Asmari reservoir.
Such observations are pivotal in refining geological
interpretations and understanding reservoir dynamics,
contributing significantly to informed decision-making
in reservoir exploration and development strategies.
It's critical to explore into the variations in anhydrite
content because of the far-reaching impacts it holds. In
the context of the Asmari formation (as shown in
A
B
Fig. 10), this variation plays a fundamental role in
shaping several critical aspects. Firstly, it significantly
influences reservoir properties, dictating the
permeability, porosity, and overall quality of the
reservoir. Anhydrite content can either enable or
impede fluid movement within the formation, thereby
affecting the flow of hydrocarbons or other fluids
through the reservoir.
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Moreover, understanding these variations is essential
for drilling operations. Anhydrite, due to its differing
hardness and composition compared to other materials
in the formation, can present challenges during
drilling. It affects the drilling process, impacting the
choice of drilling techniques, tools, and strategies
required to navigate through the formation effectively
and efficiently.
Overall, a comprehensive grasp of anhydrite content
variations within the Asmari formation is
indispensable. It extends beyond mere compositional
knowledge; it's intricately tied to the fundamental
characteristics that govern the behavior of the
reservoir, fluid movement, and the practical aspects of
drilling operations in this geological context.
A
B
Fig. 10: A)Composite plot of orthogonal callipers (C1 and C2), GR, FMI static normalized images, dips, well deviation in Asmari
formation. B) A schematic computer-generated model using a reverse-fault model is presented. The illustration highlights the
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drag and disturbed zones associated with the fault. The model demonstrates the overturning of beds within the fault-influenced
area. Additionally, structural dips of the sections both above and below the faulted region are indicated for reference.
4. Validation and Accomplishment
The study aimed to investigate specific geological
occurrences and optimize drilling strategies. It
primarily focused on understanding why the Kalhur
member intersected unexpectedly and the increased
thickness of the Asmari formation. The goal was to
plan a new sidetrack based on these insights.To
achieve this, comprehensive datasets such as the Full
set and FMI log data were employed. These datasets
provided crucial information about fractures, faults,
and their characteristics. Through meticulous
identification and description, the attributes of these
geological features were measured accurately.
Subsequently, leveraging the findings from StrucView,
geologists from NIOC South Operations made
informed decisions to drill a new sidetrack within the
well. This strategic move was rooted in the insights
derived from the data analysis.The success of this new
sidetrack was evident as it effectively intersected all
the reservoir zones within the upper Asmari formation.
This accomplishment is pivotal in the realm of
reservoir development and production optimization.
By precisely targeting these zones, the project
significantly enhances the prospects of efficient
resource extraction from the Asmari formation.
In essence, the study's validation lies in the successful
execution of the new sidetrack, aligning drilling
operations with the geological findings. It not only
addressed the unexpected intersections but also
facilitated a more targeted and effective approach
toward reservoir development, marking a significant
milestone in maximizing production potential(Fig. 11).
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Fig. 11: Displays the recently created sidetrack, highlighted in red, which has been meticulously drilled based on the structural
model derived from the analysis of sidetrack 1, shown in blue. This new sidetrack was strategically planned and executed in
alignment with the insights and conclusions drawn from the previous drilling operation, ensuring a cohesive and informed
approach to further exploration and development.
5. Conclusion
This research has played a pivotal role in pinpointing
the Asmari fault and fracture systems and
understanding their profound effects on production
dynamics. It has adeptly untangled the intricate
structural intricacies, enabling an exact determination
of the precise position of the well within the expansive
Asmari Reservoir. This accomplishment holds
immense significance as it paved the way for the well
to access and tap into the lower reaches of the Asmari
formation, a critical milestone in maximizing reservoir
potential and enhancing production efficiency.
The meticulous classification of dip angles, derived
from geological logs, has unveiled a vivid and easily
interpretable map of the structural intricacies within
the Asmari formation. This newfound depth of
understanding has yielded a significant boon to the
operator's reservoir modeling techniques. Specifically,
it has served as a cornerstone, enabling scientists to
delve into the reservoir's potential with unparalleled
precision.This deeper comprehension has led to a
transformative effect on their utilization of Formation
Micro-Imager (FMI) data. In scenarios where access to
robust 3D seismic data is limited or compromised, the
enhanced structural understanding derived from dip
classification has emerged as a crucial resource. It's
facilitated a more nuanced and accurate assessment of
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the reservoir's capabilities and behavior, enriching the
insights drawn from FMI data in a manner previously
unattainable.
Ultimately, this advancement not only optimizes the
reservoir model but also bolsters the scientific
community's capacity to glean invaluable insights,
particularly when conventional data sources fall short.
The convergence of enhanced structural understanding
and refined data utilization marks a pivotal step
forward in maximizing the reservoir's potential.
This research endeavor stands as a comprehensive
solution, addressing not just fundamental structural
challenges but also significantly amplifying the
operator's capacity to intricately model and assess the
Asmari Reservoir. This advancement proves especially
valuable when conventional data sources are scarce or
restricted, thereby enabling a more nuanced and robust
evaluation of the reservoir's dynamics and potential.
6.Significance Statement
This study has successfully addressed and resolved
structural complexities, ultimately pinpointing the
precise location of the well within the Asmari
reservoir. This achievement carries significant
benefits, as it can lead to cost savings in drilling
projects and also pave the way for the drilling of
additional wells within the field. Moreover, this
research will serve as a valuable resource for
researchers, enabling them to explore critical areas of
structural complexity within the reservoir that have
remained uncharted.
The methodologies and insights gained from this study
are expected to set a standard workflow for similar
fractured carbonate reservoirs. This will contribute to
the advancement of research and exploration in the
field of reservoir characterization and development,
offering guidance and best practices for future
endeavors in similar geological settings.
7.Directions of Future Research
The research on the Asmari fault and fracture systems
has made significant strides, but there are still avenues
for future exploration and study:
Enhancement of Structural Understanding: While
the research has provided a comprehensive
understanding of the structural intricacies within the
Asmari formation, further investigation into the finer
details of fault systems and fractures could enhance
reservoir characterization. Employing advanced
imaging techniques or integrating different data
sources could contribute to a more nuanced structural
model.
Integration of Multi-disciplinary Data: Expanding
the scope to integrate various data sources beyond
geological logs and FMI data could provide a more
holistic view of the reservoir. Incorporating
geochemical analysis, geomechanics, or even
advanced machine learning algorithms to integrate
diverse datasets might offer deeper insights into
reservoir behavior and potential.
Long-term Reservoir Behavior Prediction:
Investigating the temporal behavior and long-term
evolution of the reservoir under varying production
scenarios could be valuable. Predictive modeling that
factors in production history, geological changes, and
fluid dynamics might aid in understanding how the
reservoir will behave over extended periods.
Enhanced Reservoir Simulation Techniques:
Developing more sophisticated reservoir simulation
techniques that incorporate the newfound structural
understanding could refine predictive capabilities. This
includes accounting for complex fluid flow within
fractured carbonate reservoirs and their interaction
with fault systems.
Environmental Impacts and Sustainability:
Exploring the environmental impacts of extensive
drilling and production in fractured carbonate
reservoirs is becoming increasingly relevant. Future
research might focus on sustainable extraction
methods or mitigation strategies to minimize
environmental footprints.
Field Application and Validation: Applying the
insights gained from this research to real-world
scenarios and validating these findings through field
experiments or pilot projects could strengthen the
practical application of the study's outcomes.
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Collaborative Research Endeavors: Collaborating
with industry partners, academic institutions, and
research organizations could leverage diverse expertise
and resources, accelerating the pace of discoveries and
innovations in fractured carbonate reservoir studies.
Technology Advancements: Keeping up-to-date of
technological advancements in imaging, sensing, and
data analytics can offer new tools and methodologies
to further unravel the complexities of such reservoirs.
By exploring into these areas, future research could
continue to push the boundaries of knowledge in
fractured carbonate reservoirs, fostering more accurate
predictions, sustainable practices, and enhanced
reservoir management techniques.
Acknowledgment
We extend our heartfelt gratitude to all those who
contributed to the success of this project. Without their
unwavering support, this achievement would not have
been possible. We would like to express our
appreciation to NIOC South for generously providing
the essential data and resources that were
indispensable in the completion of our project.
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed in the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare
that are relevant to the content of this article.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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