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Oil & Gas Research
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  • Mini Review   
  • Oil Gas Res 11: 431,

Machine Learning?s Revolution in Petroleum Engineering

Prof. Zhang Rui*
State Key Lab of Reservoir Engineering, Northern Star University, China
*Corresponding Author : Prof. Zhang Rui, State Key Lab of Reservoir Engineering, Northern Star University, China, Email: r.zhang@nsu.cn

Abstract

Machine learning is transforming petroleum engineering by enhancing reservoir characterization, production optimization, and drilling efficiency. Advanced ML techniques improve fluid flow prediction, optimize drilling parameters, and refine geomechanical modeling. Production forecasting and Enhanced Oil Recovery (EOR) strategies are significantly improved through ML’s predictive capabilities. Furthermore, ML automates well log interpretation, accelerates seismic analysis, and optimizes well placement for maximized reservoir drainage. This integration of AI drives more accurate subsurface modeling, informed decision-making, increased hydrocarbon recovery, and reduced operational costs.

Citation: 脗听脗听

Copyright: 聽 聽

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