基于OGH曲线的定向钻井最小应变能路径点跟踪控制器

Neilkunal Panchal, M. Bayliss, J. Whidborne
{"title":"基于OGH曲线的定向钻井最小应变能路径点跟踪控制器","authors":"Neilkunal Panchal, M. Bayliss, J. Whidborne","doi":"10.1109/CCA.2011.6044507","DOIUrl":null,"url":null,"abstract":"Directional drilling has become increasingly important as a means for better exploitation of oil and gas reservoirs as well as part of a drive to increase the level of automation in the industry. Typically, a well plan is created for a variety of reasons, such as maximizing productive drilling, minimizing well tortuosity, collision avoidance, or navigating the tool to strategic points within a pay zone. Following a nominal well plan created to satisfy these requirements whilst drilling leads to a clear need for automated trajectory-controlled drilling. This paper builds on the authors' earlier work on generalized attitude control of directional drilling to develop a path-following algorithm incorporating optimized geometric Hermite space curves as a means of generating the correction path from the instantaneous tool position to the well plan whilst minimizing the drillstring strain energy. The proposed scheme is tested in simulation and shown to perform satisfactorily for a typical set of drilling operating parameters for converging towards a target position and attitude.","PeriodicalId":208713,"journal":{"name":"2011 IEEE International Conference on Control Applications (CCA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Minimum strain energy waypoint-following controller for directional drilling using OGH curves\",\"authors\":\"Neilkunal Panchal, M. Bayliss, J. Whidborne\",\"doi\":\"10.1109/CCA.2011.6044507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Directional drilling has become increasingly important as a means for better exploitation of oil and gas reservoirs as well as part of a drive to increase the level of automation in the industry. Typically, a well plan is created for a variety of reasons, such as maximizing productive drilling, minimizing well tortuosity, collision avoidance, or navigating the tool to strategic points within a pay zone. Following a nominal well plan created to satisfy these requirements whilst drilling leads to a clear need for automated trajectory-controlled drilling. This paper builds on the authors' earlier work on generalized attitude control of directional drilling to develop a path-following algorithm incorporating optimized geometric Hermite space curves as a means of generating the correction path from the instantaneous tool position to the well plan whilst minimizing the drillstring strain energy. The proposed scheme is tested in simulation and shown to perform satisfactorily for a typical set of drilling operating parameters for converging towards a target position and attitude.\",\"PeriodicalId\":208713,\"journal\":{\"name\":\"2011 IEEE International Conference on Control Applications (CCA)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Control Applications (CCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.2011.6044507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Control Applications (CCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.2011.6044507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

定向钻井作为一种更好地开发油气储层的手段,以及提高行业自动化水平的一部分,已经变得越来越重要。通常,制定井计划的原因有很多,比如最大化钻井产量、最小化井曲度、避免碰撞,或者将工具导航到产层内的战略点。在钻井过程中,为了满足这些要求而制定的标称井计划导致了对自动轨迹控制钻井的明显需求。本文以作者早期在定向钻井广义姿态控制方面的工作为基础,开发了一种路径跟踪算法,该算法结合了优化的几何Hermite空间曲线,作为生成从瞬时工具位置到井平面的修正路径的手段,同时最小化钻柱应变能。该方案已在模拟中进行了测试,结果表明,对于一组典型的钻井操作参数,该方案能够令人满意地收敛到目标位置和姿态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum strain energy waypoint-following controller for directional drilling using OGH curves
Directional drilling has become increasingly important as a means for better exploitation of oil and gas reservoirs as well as part of a drive to increase the level of automation in the industry. Typically, a well plan is created for a variety of reasons, such as maximizing productive drilling, minimizing well tortuosity, collision avoidance, or navigating the tool to strategic points within a pay zone. Following a nominal well plan created to satisfy these requirements whilst drilling leads to a clear need for automated trajectory-controlled drilling. This paper builds on the authors' earlier work on generalized attitude control of directional drilling to develop a path-following algorithm incorporating optimized geometric Hermite space curves as a means of generating the correction path from the instantaneous tool position to the well plan whilst minimizing the drillstring strain energy. The proposed scheme is tested in simulation and shown to perform satisfactorily for a typical set of drilling operating parameters for converging towards a target position and attitude.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信