An Early Warning System for Identifying Drilling Problems: An Example From a Problematic Drill-Out Cement Operation in the North-Sea

Author:

Cayeux Eric1,Daireaux Benoît1,Dvergsnes Erik Wolden1,Sælevik Gunnstein2,Zidan Mohamed3

Affiliation:

1. IRIS

2. Sekal

3. Statoil

Abstract

Abstract We describe the validation of a software solution that automatically detects changes in downhole drilling conditions. Based on early warnings provided by the system, the drilling team can take pre-emptive action when conditions start to deteriorate. However, we have found that the decision maker takes time to build confidence that the reported symptoms, if ignored, will lead to a drilling incident. To illustrate this problem, a particular BHA run, where the system has been used, is analyzed in detail. A leak-off test should have been performed after drilling out a 300m long cement plug. While drilling the cement, the system gave several warnings that the cuttings transport was poor. Nevertheless the decision was made to continue drilling. Close to the end of the plug, the hole started to pack off and shortly after, mud losses were experienced compromising the planned leak-off test. While pulling out of hole, the system triggered new warnings because of the possible presence of a cuttings bed. The decision was made to clean the hole thoroughly and at the second attempt, the subsequent trip out of hole was uneventful. The principle of the system is to compare results from calibrated physical models of the well with surface and downhole measurements. The system analyses the following indicators continuously: sliding and rotational friction, downhole and pump pressure, free rotating weight deviations and pit volume variations. Experience has shown that using multiple symptoms to detect abnormal drilling conditions is essential because similar problems do not always present the same pattern of indicators. The system has regularly shown its ability to provide early warning signs of changing downhole conditions well before an eventual incident. This consistency has helped build confidence amongst the decision makers who are then ready to take prompt actions in response to warnings.

Publisher

SPE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3