Experiment and result analysis of multi-object intelligent optimization algorithm for 3D sidetracking trajectory
-
摘要: 钻进轨迹多目标优化是实现定向井高效、安全钻进的关键之一。随着优化算法性能的不断改进，求解轨迹优化问题能够得到具有更小轨迹长度、复杂度和中靶误差的轨迹设计方案，然而算法的实用性尚未得到验证。本文利用结合自适应罚函数的多目标分解进化算法、基于最小模糊熵的综合评价方法，解决三维侧钻井轨迹优化问题。将所提出的优化与决策方法在钻进过程智能控制实验系统中进行应用，验证了所提方法的实用性，能够为工程实际中的轨迹设计提供借鉴和指导，并为后续轨迹跟踪控制提供参考。Abstract: Multi-object optimization of drilling trajectory is one of the keys to achieve efficient and safe drilling. The improvement of the optimization algorithms can get smaller trajectory length and less complexity in finding solutions to the trajectory optimization questions. However， the practicability of the trajectory optimization algorithm has not been verified. In this paper， the multi-object decomposition evolutionary algorithm combined with the adaptive penalty function， and the comprehensive evaluation method based on minimum fuzzy entropy are used to study the 3D sidetracking well trajectory optimization problem. The proposed methods were verified for their practicability with application in the drilling process intelligent control experimental system. They can provide reference and guidance for trajectory design in engineering practice， and provide reference for drilling trajectory tracking control.
-
-
[1] 贾雍,和鹏飞,袁则名,等.海上某气田悬空侧钻水平分支井技术及应用[J].钻探工程,2021,48(4):104-109.
JIA Yong, HE Pengfei, YUAN Zeming, et al. Application of horizontal branch wells in an offshore gas field[J]. Drilling Engineering, 2021,48(4):104-109.
[2] [2] 张焱，李骥，刘坤芳，等.定向井井眼轨迹最优化设计方法研究 ［J］.天然气工业，2000，20（1）：57-60.
ZHANG Yan， LI Ji， LIU Kunfang， et al. A study of optimized method for designing directional well trajectory［J］. Natural Gas Industry， 2000，20（1）：57-60.
[3] [3] 刘绘新，孟英峰.定向井最优井身轨迹研究［J］.天然气工业， 2004，24（2）：64-67.
LIU Huixin， MENG Yingfeng. Study on optimal hole trajectory of directional drilling［J］. Natural Gas Industry， 2004，24（2）：64-67.
[4] [4] 鲁港，佟长海，邢玉德.基于约束优化方法的三维多靶井眼轨迹设计模型［J］.石油学报，2005，26（6）：93-95.
LU Gang， TONG Changhai， XING Yude. A model for design of three-dimensional multi-target wellbore trajectory based on restricted optimization［J］. Acta Petrolei Sinica， 2005，26（6）：93-95.
[5] [5] 王志月，高德利，秦星.丛式井侧钻绕障水平井优化设计方法 ［J］.西安石油大学学报（自然科学版），2017，32（4）：55-60.
WANG Zhiyue， GAO Deli， QIN Xing. Optimum design method for sidetracking horizontal well bypassing obstacle in cluster well［J］. Journal of Xi’an Shiyou University （Natural Science Edition）， 2017，32（4）：55-60.
[6] [6] Hosseini S， Ghanbarzadeh A， Hashemi A. Optimization of dogleg severity in directional drilling oil wells using particle swarm algorithm［J］. Journal of Chemical and Petroleum Engineering， 2014，48（2）：139-151.
[7] [7] Shokir E M， Emera M K， Wally A W. A new optimization model for 3D well design［J］. Oil & Gas Science and Technology-Rev. IFP， 2004，59（3）：255-266.
[8] [8] Sha L， Pan Z. FSQGA based 3D complexity wellbore trajectory optimization［J］. Oil & Gas Science and Technology-Rev. IFP Energies Nouvelles， 2018，73：79.
[9] [9] 李成媛.蚁群算法在井眼轨迹规划中的应用研究［D］.西安：西安石油大学，2019.LI Chengyuan. Research and application of ant colony optimization in well trajectory planning［D］. Xi’an： Xi’an Shiyou University， 2019.
[10] [10] IIyasov R R， Svechnikov L A， Karimov M R， et al. Automation of optimal well trajectory calculations［C］//
SPE Russian Oil and Gas Exploration and Production Techinical Conference and Exhibition .Moscow， Russia ， 2014.[11] [11] Atashnezhad A， Wood D A， Fereidounpour A， et al. Designing and optimizing deviated wellbore trajectories using novel particle swarm algorithms［J］. Journal of Natural Gas Science and Engineering， 2014，21：1184-1204.
[12] [12] 沙林秀，潘仲奇.基于NPSO的三维复杂井眼轨迹控制转矩的优选［J］.石油机械，2017，45（10）：5-10.
SHA Linxiu， PAN Zhongqi. The complex wellbore trajectory control torque optimization based on NPSO algorithm［J］. China Petroleum Machinery， 2017，45（10）：5-10.
[13] [13] 涂运中,陈剑垚,刘春生,等.“慧磁”定向钻井中靶系统超高精度中靶技术研究[J].探矿工程（岩土钻掘工程）,2020,47(10):1-6,12.
TU Yunzhong, CHEN Jianyao, LIU Chunsheng, et al. Study on ultra-high precision target-hitting technology of SmartMag system[J]. Exploration Engineering （Rock & Soil Drilling and Tunneing）， 2020,47(10):1-6,12.
[14] [14] Huang W， Wu M， Cheng J， et al. Multi-objective drilling trajectory optimization based on NSGA-II［C］//
Proceedings of the 11th Asian Control Conference ，2017：1234-1239.[15] [15] Mansouri V， Khosravanian R， Wood D A， et al. 3-D well path design using a multi objective genetic algorithm［J］. Journal of Natural Gas Science and Engineering， 2015，27（1）： 219-235.
[16] [16] 李文燕.复杂井眼轨迹的多目标优化技术研究［D］.西安：西安石油大学，2019.LI Wenyan. Research on multi-objective optimization technology for complex well trajectory［D］. Xi’an： Xi’an Shiyou University， 2019.
[17] [17] Zheng J， Lu C， Gao L. Multi-objective cellular particle swarm optimization for wellbore trajectory design［J］. Applied Soft Computing， 2019，77：106-117.
[18] [18] Biswas K， Joy J S， Vasant P. Multi-objective spotted hyena optimizer for 3D well path optimization［J］. Solid State Technology， 2020，63：4011-4016.
[19] [19] Biswas K， Vasant P M， Vintaned J A G， et al. Cellular automata-based multi-objective hybrid grey wolf optimization and particle swarm optimization algorithm for wellbore trajectory optimization［J］. Journal of Natural Gas Science and Engineering， 2021，85：103695.
[20] [20] 李奇龙，张承飞，宋继伟，等.套管开窗侧钻技术在贵州地热钻井中的应用［J］.探矿工程（岩土钻掘工程），2018，45（7）：6-9.
LI Qilong， ZHANG Chengfei， SONG Jiwei， et al. Application of sidetracking in casing in guizhou geothermal drilling［J］. Exploration Engineering （Rock & Soil drilling and Tunneing）， 2018，45（7）：6-9.
[21] [21] 张文英，张廷茂，吴德军，等.侧钻技术在钻孔事故处理中的应用［J］.探矿工程（岩土钻掘工程），2011，38（6）：10-12.
ZHANG Wenying， ZHANG Tingmao， WU Dejun， et al. Application of sidetrack drilling technology in borehole accident ［J］. Exploration Engineering （Rock & Soil drilling and Tunneing）， 2011，38（6）：10-12.
[22] [22] Huang W， Wu M， Chen L， et al. Multi-objective drilling trajectory optimization using decomposition method with minimum fuzzy entropy-based comprehensive evaluation［J］. Applied Soft Computing， 2021，107：107392.
[23] [23] 汤凤林,赵荣欣,周欣,等.受控定向孔钻进用自动导航系统的分析研究[J].钻探工程,2022,49(2):67-76.
TANG Fenglin, ZHAO Rongxin, ZHOU Xin, et al. An automatic navigation system used for controlled directional drilling[J]. Drilling Engineering, 2022,49(2):67-76.
[24] [24] 范海鹏,吴敏,曹卫华,等.基于钻进状态监测的智能工况识别[J].探矿工程（岩土钻掘工程）,2020,47(4):106-113.
FAN Haipeng, WU Min, CAO Weihua, et al. Intelligent drilling mode identification based on drilling state monitoring while drilling[J]. Exploration Engineering （Rock & Soil Drilling and Tunneing）， 2020,47(4):106-113.
[25] [25] 张正,赖旭芝,陆承达,等.基于贝叶斯网络的钻进过程井漏井涌事故预警[J].探矿工程（岩土钻掘工程）,2020,47(4):114-121，144.
ZHANG Zheng, LAI Xuzhi, LU Chengda, et al. Lost circulation and kick accidents warning based on Bayesian network for the drilling process[J]. Exploration Engineering （Rock & Soil Drilling and Tunneing）， 2020,47(4):114-121，144.
-
计量
- 文章访问数: 885
- PDF下载数: 129
- 施引文献: 0
下载: