Enhancing reservoir characterization in the Temsah gas field through high-resolution seismic analysis and three-dimensional modeling
Year: 2025
Type: article
Abstract: The offshore Temsah Gas Field, located about 65 km NNW of Port Said in the northeastern Nile Delta Basin, is structurally complex, with NE-SW and NW-SE normal faults that control reservoir compartmentalization and hydrocarbon entrapment. The Sidi Salem Formation, the primary reservoir, comprises interbedded sandstone and shale facies with significant hydrocarbon potential. This study integrates high-resolution post-stack time-migrated 2D seismic data and well log analysis from four wells and twenty-nine 2D seismic lines to delineate reservoir structures, evaluates the hydrocarbon potential of the Sidi Salem Formation, and builds a 3D geological model to enhance field productivity, while also clarifying fault geometries, quantifying key petrophysical parameters, and pinpointing new exploration prospects. Seismic interpretation reveals a prominent horst block with a three-way dip closure and several fault-bounded traps. Petrophysical analysis indicates net reservoir thickness of 22-120 m, effective porosity of 19-34%, shale content of 8-27%, and hydrocarbon saturation of 70-79%. Integration of seismic and petrophysical data delineates sandstone-rich zones with enhanced reservoir quality, mainly within the upthrown fault blocks. The resulting 3D model supports volumetric estimation, identifying a new fault-bounded prospect with an estimated GIIP of ~5.33 TCF. This integrated workflow reduces structural uncertainty, refines reservoir characterization, and offers a reproducible approach for exploration in fault-controlled deltaic reservoirs.
Source: Scientific Reports
Authors: Mohamed Reda, Nader H. El-Gendy, Mohamed I. Abdel-Fattah, Mohamed M. Elmashaly, Moataz Kh. Barakat
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Funder: Al-Azhar University
OpenAlex ID: W4417167438
