Optimization techniques for petroleum engineering: A brief review

ABSTRACT

Optimization in the production of oil comprises various processes to measure, analyze, model, prioritize, and implementation to enhance productivity of a field, reservoir, well, or surface. It is a practice to ensure recovery of developed reserves while maximizing returns. With the advancement of technologies associated with the field of petroleum engineering, there has always been an advent of an optimization technique. Albeit not abruptly but still with considerable consistency, conventional as well as nature inspired optimization techniques extend their roots in almost all complex problems of the world including petroleum engineering. In this article, we have reviewed the extensive use of optimization-based procedures and approaches in petroleum engineering that are being used to expand, develop, and generate petroleum fields with the appropriate designs and operations; reservoir development, planning and management.

KEYWORDS:

• Optimization techniques
• optimization-based approaches
• reservoir development
• nodal analysis
• metaheuristic

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Anuj Kumar

Dr. Anuj Kumar is an Associate Professor of Mathematics at University of Petroleum and Energy Studies (UPES), Dehradun, India. Before joining UPES, he worked as an Assistant Professor (Mathematics) in The ICFAI University, Dehradun, India.  He has obtained his Master’s and doctorate degree in Mathematics from G. B. Pant University of Agriculture and Technology, Pantnagar, India. His area of interest is reliability analysis and optimization. He has published many research articles in journals of national and international repute. He is an Associate Editor of International Journal of Mathematical, Engineering and Management Sciences. He is also a regular reviewer of various reputed journals of Elsevier, IEEE, Springer, Taylor & Francis and Emerald.

Mridul Vohra

Mr. Mridul Vohra is pursuing his B.Sc (Hons.) Mathematics from University of Petroleum and Energy Studies (UPES), Dehradun, India. his area of interest is engineering applications of nature inspired optimization techniques.

Sangeeta Pant

Dr. Sangeeta Pant received her doctorate from G. B. Pant University of Agriculture and Technology, Pantnagar, India. Presently, she is working with the department of Mathematics of the University of Petroleum and Energy Studies, Dehradun, as an Assistant Professor. She has published around 23 research articles in the journals of national/international repute in her area of interest and instrumental in various other research related activities like editing/reviewing for various reputed journals and organizing/participating in conferences. Her area of interest is numerical optimization, evolutionary algorithms, and nature inspired algorithms.

Sanjeev Kumar Singh

Dr. Sanjeev Kumar Singh is a Professor of Mathematics at University of Petroleum and Energy Studies (UPES), Dehradun, India. Before joining UPES, he worked with various organizations like The NorthCap University, Galgotia University and Sanskriti University in various positions.  He has obtained his Master’s and doctorate degree in Mathematics from G. B. Pant University of Agriculture and Technology, Pantnagar, India. His area of interest is Numerical simulation, differential geometry and optimization. He has published many research articles in journals of national and international repute.