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

Understanding geological variance in a proved reservoir requires accurate as well as exact characterization of lithological facies. In the Kadanwari gas field, machine learning (ML) classification algorithms have been used to forecast facies on such an accessible dataset. The goal is to increase the...

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Autors principals:	Nafees Ali, Jian Chen, Xiaodong Fu, Wakeel Hussain, Muhammad Ali, Sayed Muhammad Iqbal, Aqsa Anees, Mazahir Hussain, Muhammad Rashid, Hung Vo Thanh
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-02-01
Col·lecció:	Geosystems and Geoenvironment
Matèries:	Lithofacies identification Self organizing map Unsupervised machine learning Cluster analysis Reservoir quality prediction Kadanwari gas field
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S277288382200098X
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