Reservoir characterization and rock typing of the gas-bearing El Wastani Formation, Simian Field, offshore Nile Delta

Accurate prediction of reservoir performance in heterogeneous, clay-rich clastic systems remains a critical challenge in petrophysics. This study presents a novel, integrated workflow to overcome this challenge by delineating hydraulic flow units (HFUs) for robust rock typing and permeability prediction in the Pliocene El Wastani Formation, Simian field, offshore Nile Delta. Our methodology synergizes advanced petrophysical log analysis, conventional and special core analysis (SCAL), and sedimentological facies characterization to decipher controls on reservoir quality. The multi-technique approach included: spectral gamma ray (Th-K) cross-plots and Thomas-Stieber model analysis to characterize a dominant laminated illite/smectite clay assemblage; MDT pressure data to precisely define the Free Water Level at 2146 m TVDSS; and Pickett plot analysis to determine a formation water resistivity (Rw) of 0.16 Ω.m. Core-based Flow Zone Indicator (FZI) analysis of 208 samples, identified six distinct HFUs, each defined by a unique, high-fidelity porosity-permeability transform (R<sup>2</sup> = 0.70-0.98). This hydraulic zonation, validated by stratified modified Lorenz (SML) analysis, showed a strong correlation with sedimentary facies, linking high-quality flow units (HFU-4, HFU-5) to high-energy channel deposits. The results quantitatively demonstrate that reservoir quality is primarily governed by the interplay of depositional environment and consequent pore architecture. The superior performance of the RQI/FZI method over the Pittman R35 technique establishes it as the preferred predictive model. This integrated workflow provides a transformative framework for characterizing heterogeneous reservoirs, ultimately enabling optimized well placement, enhanced recovery, and improved reservoir management decisions in the Nile Delta and analogous basins worldwide.

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Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-31825-1
Citations
1
Primary Topic
Enhanced Oil Recovery Techniques
Type
article
Field-Weighted Citation Impact
1.15
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article

Reservoir characterization and rock typing of the gas-bearing El Wastani Formation, Simian Field, offshore Nile Delta

Mohamed Reda, Taher Mostafa, Hassan EL Kadi, Soliman Anwar
1 citations
Scientific Reports
Enhanced Oil Recovery Techniques
1.15
article

Reservoir characterization and rock typing of the gas-bearing El Wastani Formation, Simian Field, offshore Nile Delta

Mohamed Reda, Taher Mostafa, Hassan EL Kadi, Soliman Anwar
article en
1 citations

Abstract

Accurate prediction of reservoir performance in heterogeneous, clay-rich clastic systems remains a critical challenge in petrophysics. This study presents a novel, integrated workflow to overcome this challenge by delineating hydraulic flow units (HFUs) for robust rock typing and permeability prediction in the Pliocene El Wastani Formation, Simian field, offshore Nile Delta. Our methodology synergizes advanced petrophysical log analysis, conventional and special core analysis (SCAL), and sedimentological facies characterization to decipher controls on reservoir quality. The multi-technique approach included: spectral gamma ray (Th-K) cross-plots and Thomas-Stieber model analysis to characterize a dominant laminated illite/smectite clay assemblage; MDT pressure data to precisely define the Free Water Level at 2146 m TVDSS; and Pickett plot analysis to determine a formation water resistivity (Rw) of 0.16 Ω.m. Core-based Flow Zone Indicator (FZI) analysis of 208 samples, identified six distinct HFUs, each defined by a unique, high-fidelity porosity-permeability transform (R<sup>2</sup> = 0.70-0.98). This hydraulic zonation, validated by stratified modified Lorenz (SML) analysis, showed a strong correlation with sedimentary facies, linking high-quality flow units (HFU-4, HFU-5) to high-energy channel deposits. The results quantitatively demonstrate that reservoir quality is primarily governed by the interplay of depositional environment and consequent pore architecture. The superior performance of the RQI/FZI method over the Pittman R35 technique establishes it as the preferred predictive model. This integrated workflow provides a transformative framework for characterizing heterogeneous reservoirs, ultimately enabling optimized well placement, enhanced recovery, and improved reservoir management decisions in the Nile Delta and analogous basins worldwide.

Scientific ReportsVol. 15(1)
Al-Azhar University (EG), Egyptian Petroleum Research Institute (EG)
Life below water
Openalex Percentile: Top 16%
Enhanced Oil Recovery Techniques
1.15
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