default author photo

Mohamed Hassan Sayed

University of Southampton

Southampton Business School

Southampton

United Kingdom

  • University of Southampton

SCHOLARLY PAPERS

1

DOWNLOADS

48

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Explainable Machine Learning for Tight Sandstone Reservoirs: A Zonal Shap and Domain-Guided Eda Framework for Productivity Classification

Number of pages: 44 Posted: 27 Jun 2025
Amir Gharavi, Aidan O'Sullivan, Malik Haddad, Mohamed Hassan Sayed, Reham Alasmar, Paria Yousefi and Salam Al-Saegh
University College London - UCL Energy Institute, University College London - UCL Energy Institute, Techtrials Healthcare - Data Science, University of Southampton, University College London - Institute for Environmental Design and Engineering, Scientific and Technological Research Council of Turkey (TUBITAK) - Energy Institute and University College London
Downloads 48 (1,109,210)

Abstract:

Loading...

Tight sandstone reservoirs, Explainable AI, SHAP, Exploratory Data Analysis (EDA), Machine Learning, Reservoir Productivity