Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method
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 functio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/21/8030 |
| _version_ | 1797468453370593280 |
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| author | Jinbo Song Jianlong Wang Bingqing Li Linlin Gan Feifei Zhang Xueying Wang Qiong Wu |
| author_facet | Jinbo Song Jianlong Wang Bingqing Li Linlin Gan Feifei Zhang Xueying Wang Qiong Wu |
| author_sort | Jinbo Song |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T19:07:41Z |
| format | Article |
| id | doaj.art-b0283b6e82f14c0498ba1b3a184a2ce9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T19:07:41Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b0283b6e82f14c0498ba1b3a184a2ce92023-11-24T04:30:45ZengMDPI AGEnergies1996-10732022-10-011521803010.3390/en15218030Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian MethodJinbo Song0Jianlong Wang1Bingqing Li2Linlin Gan3Feifei Zhang4Xueying Wang5Qiong Wu6School of Petroleum Engineering, Yangtze University, Wuhan 430100, ChinaEngineering and Technology Research Institute of CNPC Bohai Drilling Engineering Co., Ltd., Tianjin 300457, ChinaCNPC Xibu Drilling Engineering Co., Ltd., Urumqi 830011, ChinaEngineering and Technology Research Institute of CNPC Bohai Drilling Engineering Co., Ltd., Tianjin 300457, ChinaSchool of Petroleum Engineering, Yangtze University, Wuhan 430100, ChinaSchool of Petroleum Engineering, Yangtze University, Wuhan 430100, ChinaPetroChina Tarim Oilfield Branch, Korla 841000, ChinaTo 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.https://www.mdpi.com/1996-1073/15/21/8030drilling parameterreal-time optimizationmulti-objective optimization problemconstrained Bayesian algorithm |
| spellingShingle | Jinbo Song Jianlong Wang Bingqing Li Linlin Gan Feifei Zhang Xueying Wang Qiong Wu Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method Energies drilling parameter real-time optimization multi-objective optimization problem constrained Bayesian algorithm |
| title | Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method |
| title_full | Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method |
| title_fullStr | Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method |
| title_full_unstemmed | Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method |
| title_short | Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method |
| title_sort | real time drilling parameter optimization model based on the constrained bayesian method |
| topic | drilling parameter real-time optimization multi-objective optimization problem constrained Bayesian algorithm |
| url | https://www.mdpi.com/1996-1073/15/21/8030 |
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