# AVO reflectivity and pre-stack seismic impedance inversion for gas sand channel detection at South Abu El Naga Field, Onshore Nile Delta, Egypt

## TL;DR

This study uses seismic inversion techniques to detect gas sand channels in a challenging reservoir in Egypt's Nile Delta, improving exploration accuracy.

## Contribution

The paper introduces an integrated workflow using AVO reflectivity and impedance methods for gas sand detection in data-limited settings.

## Key findings

- AVO reflectivity attributes and impedance methods effectively separate gas sand bodies from shale.
- The techniques detect lateral edges of gas channels filled with cutting mud.
- The workflow reduces uncertainty and supports accurate reservoir compartment delineation.

## Abstract

The reservoir compartment is a major uncertainty at South Abu El Naga gas field, onshore Nile Delta, Egypt. The objective of this study is to detect Abu Madi gas sand reservoir using different pre-stack inversion techniques such as AVO reflectivity attributes, impedance methods, and lambda-mu-rho (LMR) analysis. The Messinian sandstone gas reservoir at the study area was effectively characterized using these three techniques. Well logs, 2D partial angle stack, and full angle stack seismic sections are the available dataset used to derive several seismic pre-stack inversion attributes. The results of these attributes show that the gas sand bodies are clearly separated from shale and detect the gas channel lateral edges from the cutting mud filled channel. These findings determine the utility of integrating AVO reflectivity attributes and impedance methods in enhancing geophysical interpretation, reducing uncertainty, aiding exploration and support more accurate compartment delineation in data-limited settings and provide a convenient workflow applicable to other areas facing similar exploration and challenges.