Journal of Geology & Geophysics
Open Access

Department of Geology, Desert Research Center, Mathaf El Matariya, El Matariya, Cairo, Egypt

Publications

• Research Article   
  Use of Probabilistic Neural Network and Post Stack Inversion to Predict Reservoir Characterization in the Mediterranean Sea, Sapphire Field, Egypt
  Author(s): Ahmed Abosalama*
  
  Geophysical parameters of probable reserves are interpreted using seismic inversion. It is essential for estimating porosity, saturation, and shale content. This article discusses the use of model-based Geophysical parameters of potential reserves are interpreted using seismic inversion. It is essential for determining porosity, saturation, and shale content. This article explores the use of model-based seismic inversion and probabilistic neural networks to characterize reservoirs. To make this assignment easier, the paper is divided into two portions. From 3D seismic data gathered in the research area (Sapphire Deep Seismic-2010), model-based inversion is used to generate acoustic impedance values. Seismic data is used to analyse five well logs. The average correlation coefficient between synthetic and seismic data is 0.997, with a 7% error, indicating the utilit.. View More»
  DOI: 10.35248/2381-8719.22.11.1042

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