Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method

Jinbo Song, Jianlong Wang, Bingqing Li, Linlin Gan, Feifei Zhang (), Xueying Wang and Qiong Wu
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Jinbo Song: School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
Jianlong Wang: Engineering and Technology Research Institute of CNPC Bohai Drilling Engineering Co., Ltd., Tianjin 300457, China
Bingqing Li: CNPC Xibu Drilling Engineering Co., Ltd., Urumqi 830011, China
Linlin Gan: Engineering and Technology Research Institute of CNPC Bohai Drilling Engineering Co., Ltd., Tianjin 300457, China
Feifei Zhang: School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
Xueying Wang: School of Petroleum Engineering, Yangtze University, Wuhan 430100, China
Qiong Wu: PetroChina Tarim Oilfield Branch, Korla 841000, China

Energies, 2022, vol. 15, issue 21, 1-15

Abstract: To solve the problems of the low energy efficiency and slow penetration rate of drilling, we took the geological data of adjacent wells, real-time logging data, and downhole engineering parameters as inputs; the mechanical specific energy and unit footage cost as multi-objective optimization functions; and the machine pump equipment limit as the constraint condition. A constrained Bayesian optimization algorithm model was established for the optimization solution, and drilling parameters such as weight-of-bit, revolutions per minute, and flowrate were optimized in real time. Through a comparison with NSGA-II, random search, and other optimization algorithms, and the application results of example wells, we show that the established Bayesian optimization algorithm has a good optimization effect while maintaining timeliness. It is suitable for real-time optimization of drilling parameters, can aid a driller in identifying the drilling rate and potential tapping area, and provides a decision-making basis for avoiding the low-efficiency rock-breaking working area and improving rock-breaking efficiency.

Keywords: drilling parameter; real-time optimization; multi-objective optimization problem; constrained Bayesian algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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