Multi-scale reservoir characterization of pre-rift reservoirs in the October field, Gulf of Suez using integrated seismic, well logs, and core data

This study presents an integrated multi-scale characterization of pre-rift reservoirs in the October Field, Gulf of Suez, to resolve critical uncertainties in compartmentalization and resource potential. By synergizing 2D seismic, well logs, and core data, we delineate a structural framework dominated by NW-SE and NE-SW fault systems that compartmentalize the reservoirs. Our analysis establishes the superior reservoir potential of the Nubia Formation compared to the Matulla Formation. A key novelty of this work is the definition of five distinct Hydraulic Flow Units (HFUs) through the integration of Flow Zone Indicator (FZI) and Stratigraphic Modified Lorenz (SML) methods. This provides a robust, core-calibrated quantitative framework for predicting permeability in uncored intervals, significantly reducing prediction uncertainty. The workflow successfully identifies high-flow-efficiency units and optimal exploration targets, demonstrating a transferable approach for re-evaluating mature rift basins.

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Publication Details

Journal
Scientific Reports
Published
2025-12-05
DOI
https://doi.org/10.1038/s41598-025-27530-8
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
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article

Multi-scale reservoir characterization of pre-rift reservoirs in the October field, Gulf of Suez using integrated seismic, well logs, and core data

Taher Mostafa, Mohammed A. Elkhawaga, Adel Othman, M. Ghaly
Scientific Reports
Hydrocarbon exploration and reservoir analysis
article

Multi-scale reservoir characterization of pre-rift reservoirs in the October field, Gulf of Suez using integrated seismic, well logs, and core data

Taher Mostafa, Mohammed A. Elkhawaga, Adel Othman, M. Ghaly
article en

Abstract

This study presents an integrated multi-scale characterization of pre-rift reservoirs in the October Field, Gulf of Suez, to resolve critical uncertainties in compartmentalization and resource potential. By synergizing 2D seismic, well logs, and core data, we delineate a structural framework dominated by NW-SE and NE-SW fault systems that compartmentalize the reservoirs. Our analysis establishes the superior reservoir potential of the Nubia Formation compared to the Matulla Formation. A key novelty of this work is the definition of five distinct Hydraulic Flow Units (HFUs) through the integration of Flow Zone Indicator (FZI) and Stratigraphic Modified Lorenz (SML) methods. This provides a robust, core-calibrated quantitative framework for predicting permeability in uncored intervals, significantly reducing prediction uncertainty. The workflow successfully identifies high-flow-efficiency units and optimal exploration targets, demonstrating a transferable approach for re-evaluating mature rift basins.

Scientific ReportsVol. 15(1)
Suez University (EG), Al-Azhar University (EG)
Openalex Percentile: Top 57%
Hydrocarbon exploration and reservoir analysis
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