APPLICATION OF ARTIFICIAL INTELLIGENCE IN RESERVOIR SIMULATION FOR CHARACTERIZING MULTI-PHASE FLUID FLOW THROUGH PETROLEUM RESERVOIRS

Artificial intelligence (AI) has rapidly advanced and influenced all scientific fields, including the petroleum industry, where it is no longer a novel concept. This article explores the evolving role of AI and its integration with traditional reservoir simulation approaches. The first section highl...

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Hlavní autoři:	Viswakanth Kandala, Suresh Kumar Govindarajan, Tummuri Naga Venkata Pavan, Swaminathan Ponmani, Srinivasa Reddy Devarapu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	University of Zagreb 2025-01-01
Edice:	Rudarsko-geološko-naftni Zbornik
Témata:	artificial intelligence machine learning reservoir simulation conceptual model mathematical model numerical model
On-line přístup:	https://hrcak.srce.hr/file/487103
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