"Precision in Asmari Reservoir Structural Modeling"

What is it about?

The study focuses on creating an accurate structural model for the Asmari reservoir, known for its complexities due to the overlaying Gachsaran formation evaporates. By analyzing geological logs and employing techniques like dip classification, the research aims to identify fault and fracture systems within the Asmari reservoir, crucial for understanding production impacts and resolving structural intricacies. Using FMI data within a specific depth range, the study investigates the intersection of the Kalhur member and unexpected thickness variations in the Asmari formation. Analysis of bedding dips uncovers abrupt changes, aiding in unraveling structural complexities. The identification of a significant reverse fault within the Kalhur member zone and its association with elevated dips in beds due to anhydrite's plastic nature is a key finding. The study's conclusion emphasizes how interpreting structural dips and fault patterns was pivotal in precisely locating the well within the Asmari reservoir. This precise positioning was crucial for reaching the lower contact of the Asmari formation. The analysis relied on FMI images and petrophysical logs from well LL-26 to facilitate this interpretation.

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Photo by Fineas Anton on Unsplash

Photo by Fineas Anton on Unsplash

Why is it important?

The study's importance lies in its quest to establish a detailed structural model for the Asmari reservoir, which is known for its complexities, compounded by the presence of the Gachsaran formation evaporates above it. The primary objective is to resolve these structural intricacies, crucial for successful drilling through the Asmari formation. By employing geological logs for dip classification, the study aims to directly identify fault and fracture systems within the Asmari reservoir. Understanding these structural elements is pivotal as they significantly impact production and drilling success. The investigation also seeks to comprehend the reasons behind the unexpected thickness increase in the Asmari formation and the intersection of the Kalhur member. Key findings, particularly the identification of a significant reverse fault within the Kalhur member, offer critical insights into the reservoir's structure. The study's conclusion emphasizes how interpreting structural dips and fault patterns facilitated precise well positioning within the Asmari reservoir, enabling access to its lower contact. This achievement is fundamental for successful reservoir evaluation and resource extraction. The analysis relies on sophisticated tools like FMI images and petrophysical logs, showcasing the significance of advanced technologies in unraveling reservoir complexities. The study's importance lies in its quest to establish a detailed structural model for the Asmari reservoir, which is known for its complexities, compounded by the presence of the Gachsaran formation evaporates above it. The primary objective is to resolve these structural intricacies, crucial for successful drilling through the Asmari formation. By employing geological logs for dip classification, the study aims to directly identify fault and fracture systems within the Asmari reservoir. Understanding these structural elements is pivotal as they significantly impact production and drilling success. The investigation also seeks to comprehend the reasons behind the unexpected thickness increase in the Asmari formation and the intersection of the Kalhur member. Key findings, particularly the identification of a significant reverse fault within the Kalhur member, offer critical insights into the reservoir's structure. The study's conclusion emphasizes how interpreting structural dips and fault patterns facilitated precise well positioning within the Asmari reservoir, enabling access to its lower contact. This achievement is fundamental for successful reservoir evaluation and resource extraction. The analysis relies on sophisticated tools like FMI images and petrophysical logs, showcasing the significance of advanced technologies in unraveling reservoir complexities.

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