Yilong Zhang , Baochang Xu , Yiqi Chen , Wei Liu , Ruijie Gao , Jun Yao
{"title":"考虑测量延迟和数据丢失的钻柱扭振控制区域预测安全滤波器","authors":"Yilong Zhang , Baochang Xu , Yiqi Chen , Wei Liu , Ruijie Gao , Jun Yao","doi":"10.1016/j.conengprac.2025.106561","DOIUrl":null,"url":null,"abstract":"<div><div>During drilling operations, bit fatigue and failure caused by undesirable vibrations frequently lead to substantial increases in drilling time and costs. Among these vibrations, the torsional vibration, whose severe form is also known as stick–slip oscillation, represents one of the most destructive vibrations. Existing advanced control methods, such as Sliding Mode Control (SMC) and Robust Control, often face limitations, including difficulties in on-site deployment and measurement delays or data loss in downhole data. This study proposes a novel “plug-and-play” approach that augments the existing torsional control system through the integration of two key modules: the Zone Predictive Safety Filter (Zone PSF) and Robust Moving Horizon Estimator (Robust MHE). The Zone PSF module detects and eliminates the stick–slip oscillations in real time. This ensures the safety of the drilling system throughout the drilling process. The Robust MHE module addresses bit rotational speed estimation challenges under time-varying measurement delays and data loss scenarios. It employs adaptive gain technology to maintain the stability of the estimation process even in non-Persistently Exciting (PE) drilling conditions. Finally, the numerical simulation results indicate that the proposed method yields superior control performance and robustness for the torsional control system.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"165 ","pages":"Article 106561"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A zone predictive safety filter for drill string torsional vibrations control considering measurement delay and data loss\",\"authors\":\"Yilong Zhang , Baochang Xu , Yiqi Chen , Wei Liu , Ruijie Gao , Jun Yao\",\"doi\":\"10.1016/j.conengprac.2025.106561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>During drilling operations, bit fatigue and failure caused by undesirable vibrations frequently lead to substantial increases in drilling time and costs. Among these vibrations, the torsional vibration, whose severe form is also known as stick–slip oscillation, represents one of the most destructive vibrations. Existing advanced control methods, such as Sliding Mode Control (SMC) and Robust Control, often face limitations, including difficulties in on-site deployment and measurement delays or data loss in downhole data. This study proposes a novel “plug-and-play” approach that augments the existing torsional control system through the integration of two key modules: the Zone Predictive Safety Filter (Zone PSF) and Robust Moving Horizon Estimator (Robust MHE). The Zone PSF module detects and eliminates the stick–slip oscillations in real time. This ensures the safety of the drilling system throughout the drilling process. The Robust MHE module addresses bit rotational speed estimation challenges under time-varying measurement delays and data loss scenarios. It employs adaptive gain technology to maintain the stability of the estimation process even in non-Persistently Exciting (PE) drilling conditions. Finally, the numerical simulation results indicate that the proposed method yields superior control performance and robustness for the torsional control system.</div></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"165 \",\"pages\":\"Article 106561\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Control Engineering Practice\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967066125003235\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066125003235","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A zone predictive safety filter for drill string torsional vibrations control considering measurement delay and data loss
During drilling operations, bit fatigue and failure caused by undesirable vibrations frequently lead to substantial increases in drilling time and costs. Among these vibrations, the torsional vibration, whose severe form is also known as stick–slip oscillation, represents one of the most destructive vibrations. Existing advanced control methods, such as Sliding Mode Control (SMC) and Robust Control, often face limitations, including difficulties in on-site deployment and measurement delays or data loss in downhole data. This study proposes a novel “plug-and-play” approach that augments the existing torsional control system through the integration of two key modules: the Zone Predictive Safety Filter (Zone PSF) and Robust Moving Horizon Estimator (Robust MHE). The Zone PSF module detects and eliminates the stick–slip oscillations in real time. This ensures the safety of the drilling system throughout the drilling process. The Robust MHE module addresses bit rotational speed estimation challenges under time-varying measurement delays and data loss scenarios. It employs adaptive gain technology to maintain the stability of the estimation process even in non-Persistently Exciting (PE) drilling conditions. Finally, the numerical simulation results indicate that the proposed method yields superior control performance and robustness for the torsional control system.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.