An Integrated Approach for Saturation Modeling Using Hydraulic Flow Units: Examples from the Upper Messinian Reservoir

Author:

El-Gendy Nader H.1,Mabrouk Walid M.2,Waziry Mohamed A.3,Dodd Thomas J.4ORCID,Abdalla Fathy A.5ORCID,Alexakis Dimitrios E.6ORCID,Barakat Moataz Khairy1ORCID

Affiliation:

1. Geology Department, Faculty of Science, Tanta University, Tanta 31527, Egypt

2. Department of Geophysics, Faculty of Science, Cairo University, Giza 12613, Egypt

3. Dana Gas Company, Cairo 11774, Egypt

4. British Geological Survey, Lyell Center, Research Avenue South, Edinburgh EH21 6ER, UK

5. College of Science, King Saud University, Riyadh 11451, Saudi Arabia

6. Laboratory of Geoenvironmental Science and Environmental Quality Assurance, Department of Civil Engineering, School of Engineering, University of West Attica, 250 Thivon & P. Ralli Str., GR 12241 Athens, Greece

Abstract

The Upper Messinian reservoirs located in the Salma Field of the Nile Delta area contain variable facies. The key reservoir interval of the Abu Madi Formation was deposited in fluvial to deltaic environments. These fine-grained facies form significant reservoir heterogeneity within the reservoir intervals. The main challenges in this study are reservoir characterizing and predicting the change in reservoir water saturation (SW) with time, while reservoir production life based on the change in reservoir capillary pressure (Pc). This work applies petrophysical analysis to enable the definition and calculation of the hydrocarbon reserves within the key reservoir units. Mapping of SW away from the wellbores within geo-models represents a significant challenge. The rock types and flow unit analysis indicate that the reservoir is dominated by four hydraulic flow units. HFU#1 represents the highest flow zone indicator (FZI) value. Core analysis has been completed to better understand the relationship between SW and the reservoir capillary pressure above the fluid contact and free water level (FWL), which is used to perform saturation height function (SHF) analysis. The calculated SW values that are obtained from logs are affected by formation water resistivity (Rw) and log true resistivity (RT), which are influenced by the volume of clay content and mud salinity. This study introduces an integrated approach, including evaluation of core measurements, well log analysis covering cored and non-cored intervals, neural analysis techniques (K-mode algorithm), and permeability prediction in non-cored intervals. The empirical formula was predicted for direct calculation of dynamic SW profiles and predicted within the reservoir above the FWL based on the change in reservoir pressure.

Funder

King Saud University, Riyadh, Saudi Arabia

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference62 articles.

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4. A new insight into the structural architecture of Sharyoof field, Say’un–Masilah basin, Yemen;Abdullah;Arab. J. Geosci.,2021

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