RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT
ABU EL HASSAN, M., NOAH, A., ELMAADAWY, K., SALLAM, A. (2021). RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT. EKB Journal Management System, 19(1), 95-106. doi: 10.21608/jegs.2021.385840
M.M. ABU EL HASSAN; A.Z. NOAH; KH.G. ELMAADAWY; A.M. SALLAM. "RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT". EKB Journal Management System, 19, 1, 2021, 95-106. doi: 10.21608/jegs.2021.385840
ABU EL HASSAN, M., NOAH, A., ELMAADAWY, K., SALLAM, A. (2021). 'RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT', EKB Journal Management System, 19(1), pp. 95-106. doi: 10.21608/jegs.2021.385840
ABU EL HASSAN, M., NOAH, A., ELMAADAWY, K., SALLAM, A. RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT. EKB Journal Management System, 2021; 19(1): 95-106. doi: 10.21608/jegs.2021.385840

RESERVOIR QUALITY PREDICTION OF THE UPPER MESSINIAN ABU MADI FORMATION, SALMA DELTA FIELD, NILE DELTA, EGYPT

Journal of Egyptian Geophysical Society
Volume 19, Issue 1, 2021, Page 95-106  XML PDF (1.73 MB)
Document Type: Original Article
DOI: 10.21608/jegs.2021.385840
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Authors
M.M. ABU EL HASSAN1; A.Z. NOAH2; KH.G. ELMAADAWY1; A.M. SALLAM3
1(1) Department of Geology, Faculty of Science, Menoufia University, Egypt.
2(2) Egyptian Petroleum Research Institute, Cairo, Egypt.
3(3) El Wastani Petroleum Company, 5th settlement, New Cairo.
Abstract
The Upper Messinian Abu Madi Formation is a major gas reservoir in the onshore Nile Delta, so the recognition and understanding of the reservoir distributions are essential in exploration, development and production phases. Abu Madi reservoir is the main reservoir in Salma Delta field in the Eastern Onshore Nile Delta. Reservoir quality prediction is the main challenging issue in reservoir studies. Precise estimation of this parameter leads to enhancing the reservoir simulation, reservoir process, and further forecasting the reservoir behavior. Hence, it is of great importance to estimate the permeability of reservoir rocks with, appropriate accuracy.
Abu Madi reservoir in the study area has been classified into four hydraulic flow units (HFUs). The first flow unit (HFU-1) is characterized by very good quality sandstone, with a high permeability ranging between 100 and 1100 mD, porosity varying from 18 to 29 % and flow zone indicator(FZI) values ranging between 3 and 10.The second flow unit (HFU-2) is characterized by good quality sandstone, with a permeability varying from 10 to 400 mD, porosity values ranging between 16 and 28% and FZI values varying from 1.5 to 3. The third flow unit (HFU-3) is of moderate quality sandstone characterized by a permeability varying from 2 to 50 mD, porosity values ranging between 14 and 26 % and FZI values varying from 0.6 to 1.5. The forth flow unit (HFU-4) is of poor quality sandstone, with low permeability values ranging between 0.5 and 2 mD, porosity values varying from 14 to 18% and FZI values ranging between 0.2 and 0.6.
By Neural network technique, permeability was predicted by using FZI values from the cored wells to the un-cored onces, through the integration between the core and wire line log data for some selected wells covering Abu Madi reservoir. These results are very essential for contributing the development process in the Salma-Delta Field.
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