Machine vision for drill string slip status detection

作     者：Sunil Kumar Khare Sunil Kumar Khare

作者机构：Dept.of Petroleum Engineering and Earth SciencesUniversity of Petroleum and Energy StudiesDehradunUK248007India 

出 版 物：《Petroleum Research》 (石油研究（英文）)

年 卷 期：2022年第7卷第1期

页      面：115-122页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

主　　题：Oil and gas Machine vision Camera Slip-status Rig Drilling Rotary table NPT Drilling fluid Drill pipe 

摘      要：Slip status of drill string is system generated binary value computed by comparison of sensor generated real time hook load value with a minimum threshold value of hook load stored in measurement *** research article describes a novel method of slip status detection by machine vision technology which helps overcome the constraints of slip status detection with legacy measurement *** also helps improve the real time drilling data quality and optimize and automate drilling operations.A method to detect drill string slip status with high-resolution digital camera installed on mast near rig floor is described along with backend vision processing and communication modules,which generate binary values of slip *** binary values are transferred in real time to drilling measurement system of rig to compute other drilling parameters like bit depth,hole depth and stand *** method includes deploying active optical sensors at the rig floor,obtaining 1-D,2-D,or 3D image data,and processing it to obtain the status of drill *** measurement of slip status by machine vision helps reduce non-productive time(NPT)by reliable real time surveillance of drilling operations.