Efficiency Improvement in the Bakken Realized Through Drilling Data Processing Automation and the Recognition and Standardization of Best Safe Practices

Author:

Duffy W..1,Rigg J..2,Maidla E..2

Affiliation:

1. Statoil

2. TDE Petroleum Data Solutions, Inc.

Abstract

Abstract Technological advancements continuously change in the oil and gas industry and shape drilling performance. Trends point toward increased automation at the rig but there will likely always maintain an element of human touch. By incorporating an automated drilling state detection monitoring service, best-safe-practices were identified and standardized, allowing for a significant increase in rig efficiency. A best-safe-practices initiative was implemented that included the following process: Rigorous measurement of rig activities: A third-party service carefully quality-controlled the data feed and automatically determined the rig state.Rigorous measurement of human activity: The rigs' activities were transformed into meaningful performance information on individual crews following a data classification process and aggregation of rig operations.Recognition of safe working rates: The performance data provided by the monitoring service identified the most consistent and efficient crews to help observe their methods and share with the other crews.A teamwork environment: Involvement of stakeholders to help produce actionable plans with clear accountabilitiesTransparency: Sharing of the measurements with all stakeholders, including the drilling contractor, to further improve the processSafety first: Through transparency and a no-blame culture, it was possible to identify actionable items, such as new processes and additional personnel training. The following case study focuses on the Weight to Weight (W2W) connection time during drilling operations and dissects these activities to reveal identified improvement opportunities. Efforts resulted in a savings of more than 11.75 days on a single pad of nine wells drilled by the same rig and a 45-percent improvement in overall non-drilling time.

Publisher

SPE

Cited by 6 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