International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 6 (November-December 2026) Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Data-Driven Optimization of Low Salinity Water Injection Using Machine Learning Techniques

Author(s) Dr. Rimi Bordoloi
Country India
Abstract ML-based predictive models can effectively identify optimal salinity levels, injection strategies, and key reservoir parameters influencing recovery efficiency. The integration of machine learning with reservoir engineering workflows can significantly improve decision-making, reduce uncertainty, and enhance the effectiveness of LSWI projects in mature reservoirs.
Field Engineering
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-11

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