{"title":"Effect of In-Drilling Alignment with General Dynamic Error Model on Azimuth Estimation","authors":"Kelly Ursenbach, M. Mintchev","doi":"10.1109/BdKCSE48644.2019.9010651","DOIUrl":null,"url":null,"abstract":"Directional drilling is common in oil and natural gas extraction, offering numerous advantages. However, directional drilling requires accurate trajectory measurements. Azimuth is a critical part of the trajectory measurement, but industry standard methods of determining azimuth have drawbacks. Inertial navigation systems (INS) have been proposed as a solution but require periodic calibration. In-drilling alignment (IDA) is a calibration method which uses measured motion of the inertial measurement unit (IMU) to overcome the observability problems that come with a static calibration. This paper presents a novel model which converts IDA motion and inertial measurements into an azimuth estimate. The model is validated using a device designed to carry out IDA under laboratory conditions.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BdKCSE48644.2019.9010651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Directional drilling is common in oil and natural gas extraction, offering numerous advantages. However, directional drilling requires accurate trajectory measurements. Azimuth is a critical part of the trajectory measurement, but industry standard methods of determining azimuth have drawbacks. Inertial navigation systems (INS) have been proposed as a solution but require periodic calibration. In-drilling alignment (IDA) is a calibration method which uses measured motion of the inertial measurement unit (IMU) to overcome the observability problems that come with a static calibration. This paper presents a novel model which converts IDA motion and inertial measurements into an azimuth estimate. The model is validated using a device designed to carry out IDA under laboratory conditions.