Javascript must be enabled to continue!
Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt
View through CrossRef
The Baltim gas fields in the offshore Nile Delta contain substantial gas condensate accumulations. This study aims to identify Pleistocene (El-Wastani formation) and Pliocene (Kafr El-Sheikh formation) reservoirs. Data from five wells, including gamma-ray, density, neutron, sonic, and resistivity wireline logs, were integrated with seismic data to refine gas horizon interpretation. A synthetic seismogram was generated to assist in correlating these data.
Seismic attributes were applied to enhance seismic data interpretation, revealing key geological features. This study focuses on verifying two potential gas anomalies. The first anomaly involves structural attributes, such as discontinuity and fault likelihood, crucial for detecting fault systems and assessing gas leakage. Fault sealing properties, whether fully sealed, partially sealed, or non-sealed, are important for understanding gas accumulation and migration.
The second anomaly concerns stratigraphic attributes, using three types: sweetness, reflection strength, and spectral decomposition. Sweetness and reflection strength are effective for identifying gas, highlighting zones with high reflectivity and hydrocarbon presence. Spectral decomposition is particularly valuable for delineating channel fairways, identifying channelized gas-bearing sands, and clarifying the Pliocene anomaly, which indicates prime drilling and development locations.
This study integrates 3D reprocessed seismic data from 2018 and well data, providing a comprehensive seismic interpretation that enhances understanding of gas reservoir characteristics.
Mongolian Journals Online
Title: Delineating Plio-Pleistocene channels (gas reservoirs) via seismic attributes in Baltim Gas Field, Nile Delta, Egypt
Description:
The Baltim gas fields in the offshore Nile Delta contain substantial gas condensate accumulations.
This study aims to identify Pleistocene (El-Wastani formation) and Pliocene (Kafr El-Sheikh formation) reservoirs.
Data from five wells, including gamma-ray, density, neutron, sonic, and resistivity wireline logs, were integrated with seismic data to refine gas horizon interpretation.
A synthetic seismogram was generated to assist in correlating these data.
Seismic attributes were applied to enhance seismic data interpretation, revealing key geological features.
This study focuses on verifying two potential gas anomalies.
The first anomaly involves structural attributes, such as discontinuity and fault likelihood, crucial for detecting fault systems and assessing gas leakage.
Fault sealing properties, whether fully sealed, partially sealed, or non-sealed, are important for understanding gas accumulation and migration.
The second anomaly concerns stratigraphic attributes, using three types: sweetness, reflection strength, and spectral decomposition.
Sweetness and reflection strength are effective for identifying gas, highlighting zones with high reflectivity and hydrocarbon presence.
Spectral decomposition is particularly valuable for delineating channel fairways, identifying channelized gas-bearing sands, and clarifying the Pliocene anomaly, which indicates prime drilling and development locations.
This study integrates 3D reprocessed seismic data from 2018 and well data, providing a comprehensive seismic interpretation that enhances understanding of gas reservoir characteristics.
Related Results
Integrated Seismic Attributes as a Tool to Delineate the Oligocene Channels Architecture, Baltim Field, Offshore Central Nile Delta, Egypt
Integrated Seismic Attributes as a Tool to Delineate the Oligocene Channels Architecture, Baltim Field, Offshore Central Nile Delta, Egypt
The hydrocarbons in the Nile Delta area are produced from both clastic and non-clastic reservoirs, with ages ranging from the Early Cretaceous to the Plio-Pleistocene. The study ar...
Pre-stack seismic inversion for reservoir characterization in Pleistocene to Pliocene channels, Baltim gas field, Nile Delta, Egypt
Pre-stack seismic inversion for reservoir characterization in Pleistocene to Pliocene channels, Baltim gas field, Nile Delta, Egypt
AbstractThe Nile Delta, North Africa’s leading gas-producing region, was the focus of this study aimed at delineating gas-bearing sandstone reservoirs from the Pleistocene to Plioc...
Real-Time Pore and Fracture Pressure Prediction With FEWD in the Nile Delta
Real-Time Pore and Fracture Pressure Prediction With FEWD in the Nile Delta
Abstract
Predicting pore and fracture pressures while drilling is essential for optimal mud weight and casing point selection. In the Nile Delta, offshore Egypt...
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Seismic Frequency Enhancement for Mapping and Reservoir Characterization of Arab Formation: Case Study Onshore UAE
Abstract
Mapping and discrimination of Upper Jurassic Arab reservoirs (Arab A/B/C and D) in this 3D seismic onshore field of Abu Dhabi, is very sensitive to the seis...
A New Concept For Seismic Anomaly Detection
A New Concept For Seismic Anomaly Detection
Abstract
Fault cubes, salt bodies, sand channel volumes, gas chimney data and hydrocarbon probability cubes, extracted from 3-D seismic are rapidly becoming valua...
4D Seismic on Gullfaks
4D Seismic on Gullfaks
SUMMARY
New technologies are rapidly emerging helping to obtain optimal drainage of large reservoirs. 4D seismic is such a reservoir monitoring technique. The phy...
Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt
Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt
Abstract
This study presents a comprehensive workflow to detect low seismic amplitude gas fields in hydrocarbon exploration projects, focusin...
Machine Learning and AVO Class-II Advanced Prospectively Workflow in Upper Messinian; A Successful Story, Offshore Nile Delta, Egypt
Machine Learning and AVO Class-II Advanced Prospectively Workflow in Upper Messinian; A Successful Story, Offshore Nile Delta, Egypt
Abstract
This study presents a comprehensive workflow to detect low seismic amplitude gas fields in hydrocarbon exploration projects, focusing on the West Delta Deep Marine...

