Manas A. Pathak
Papers
2
Total Citations
135
H-Index
2
About
Dr. Manas A. Pathak is a leading researcher at the intersection of artificial intelligence and petroleum engineering, with a primary focus on applying machine learning to optimize hydrocarbon production. His most influential work, "Application of artificial intelligence to forecast hydrocarbon production from shales" (2017, 116 citations), pioneered the use of AI techniques to predict output from complex shale reservoirs, directly addressing a critical challenge in the energy sector. This contribution has become a foundational reference for integrating data-driven models into traditional reservoir engineering. Dr. Pathak also advanced the field through his work on "Least Square Support Vector Machine: An Emerging Tool for Data Analysis" (2016, 19 citations), which demonstrated the power of this AI method for robust pattern recognition and data processing across scientific domains. By bridging sophisticated computational tools with practical energy applications, his research has significantly enhanced the efficiency and accuracy of production forecasting. Dr. Pathak’s work continues to inspire both engineers and data scientists, showcasing how AI can transform resource extraction and analysis.
Research Focus
Key Achievements
Top Papers
- 1
- 2Least Square Support Vector Machine: An Emerging Tool for Data Analysis19 citations · 2016