International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 1
January-February 2026
Indexing Partners
EnergyAI Catalyst | Operational Intelligence for Oil & Gas
| Author(s) | Mr. Sudipta Mukhopadhyay |
|---|---|
| Country | India |
| Abstract | The global oil and gas industry faces mounting pressure to optimise operations while managing increasingly complex technical, regulatory, and economic challenges. National oil companies and international operators alike are seeking solutions that can reduce operational costs, improve drilling efficiency, and streamline infrastructure development without compromising safety or environmental standards. EnergyAI Catalyst represents a new category of operational intelligence platform designed specifically for upstream and midstream oil and gas operations. The platform integrates advanced computational methods with domain expertise to support decision-making across drilling programmes, exploration activities, and pipeline infrastructure projects. This document outlines the platform architecture, implementation methodology, and projected outcomes |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-02-05 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.68141 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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