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

Rimi Bordoloi

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

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