Classification of reservoir quality using unsupervised machine learning and cluster analysis: Example from Kadanwari gas field, SE Pakistan

Author:

Ali Nafees,Chen Jian,Fu Xiaodong,Hussain Wakeel,Ali Muhammad,Iqbal Sayed Muhammad,Anees Aqsa,Hussain Mazahir,Rashid Muhammad,Thanh Hung Vo

Publisher

Elsevier BV

Reference70 articles.

1. Integrated seismic interpretation, 2D modeling along with petrophysical and seismic attribute analysis to decipher the hydrocarbon potential of missakeswal area;Abbas;Pakistan. J. Geol. Geophys.,2019

2. Lithofacies classification and sequence stratigraphic description as a guide for the prediction and distribution of carbonate reservoir quality: a case study of the upper cretaceous Khasib formation (East Baghdad Oilfield, Central Iraq);Abdel-Fattah;J. Pet. Sci. Eng.,2021

3. Hydrocarbon type detection using the synthetic logs: a case study, baba member, Gulf of Suez, Egypt;Abudeif;J. Afr. Earth Sci.,2018

4. Acoustic impedance and lithology-based reservoir porosity analysis using predictive machine learning algorithms;Agbadze;J. Pet. Sci. Eng.,2022

5. Kadanwari gas field, Pakistan: a disappointment turns into an attractive development opportunity;Ahmad;Pet. Geosci.,2002

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