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Article Type

Research Paper

Abstract

This study presents a geological modeling and uncertainty analysis for Mishrif reservoir, constructed using Petrel software. The model integrates data from core samples, and well logs to create an improved three-dimensional representation of porosity (20%), water saturation (55%), and permeability (400mD). The reservoir contains a significant hydrocarbon accumulation and high heterogeneity. The methodology involved evaluating the reservoir using well log interpretations from 15 wells, dividing the formation into three layers based on porosity and water saturation. Porosity correction involved comparing log-derived and core-derived porosity values, which were then used to predict permeability for each layer using the Flow Zone Indicator (FZI) and Reservoir Quality Index (RQI) methods. The model includes detailed representations of horizons, zones, and layers, constructed using pillar gridding. The volumetric calculations reveal a Stock Tank Oil Initially in Place (STOIIP) of 1,069.2677 MMSTB highlighting the substantial hydrocarbon potential of the Mishrif Formation. This study demonstrates the novelty of integrating core data with well logs to construct a detailed 3D geological model, enhancing reservoir heterogeneity assessment and hydrocarbon potential evaluation. It confirms the effectiveness of FZI and RQI methods for permeability prediction and emphasizes the importance of advanced modeling techniques and multi-source data integration for efficient reservoir management.

Keywords

3D Static Model, Geologic Interpretation, Lithofacies, Model Workflow, Truncated Gaussian Simulation.

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