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Drilling Performance Improvement in Marcellus Shale Play: A Case Study of Successful Implementation of Real-Time Digital Solution

机译:Marcellus Shale Play的钻探性能改进:成功实施实时数字解决方案的案例研究

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Most US onshore shale operators work with extremely limited budgets to be profitable in a low margin,low oil price environment.There is a significant emphasis on footage drilled per day,with solutions like better well plans,drill bits,and innovative bottom-hole assemblies(BHA).However,the smaller activities that add up to achieve higher footage per day include weight to weight(W-W)and connection times.The traditional ways to measure these key performance indicators(KPIs)and identify operational inefficiencies are manual,time consuming and after-the-fact.To increase the overall drilling performance even with proven BHAs,an operator in Marcellus Shale leveraged a web-based application using industry-standard wellsite information transfer standard markup language(WITSML)protocol for automatic real-time drilling performance KPI monitoring and advisory services to focus on standardizing and reducing the W-W time.Weight to Weight time was divided into weight to slip(W-S),slip to slip(S-S)or connection times,and slip to weight(S-W)times to analyze trends and practices during the drilling process.The study focused on average W-W time improvement,and operational consistency on two rigs while drilling 32 wells from seven pads.During this continuous improvement process,the operator identified best crew performance using automated crew comparison KPIs and disseminated best practices among the crews.At the end of the study,one rig W-W goal attainment rate increased by 50%.The operator also worked with the rig contractor to shuffle the rig crews by including the competent personnel from the most-efficient rig crew to the lessefficient rig crew to accelerate the sharing of best practices.This approach led to a 19% improvement of average W-W time over the course of the drilling campaign,and improved overall drilling performance.The best well was used for benchmarking and updated throughout the drilling campaign for continuous improvement of drilling performance.Digital technologies combined with existing proven downhole technologies can help identify operational inefficiencies.Operators that use remote operations centers for planning,execution and risk reduction can benefit from real-time monitoring of drilling KPIs by taking timely and proactive measures.
机译:大多数美国陆上页岩运营商的预算非常有限,以低保证金,低油价环境盈利。在每天钻取的镜头很重要,解决方案像更好的计划,钻头和创新的底孔组件一样(BHA)。然而,每天增加较高镜头的较小的活动包括重量(WW)和连接时间。测量这些关键绩效指标(KPI)的传统方式和识别操作效率低下是手动,耗时的继之后,即使使用经过验证的BHA而增加整体钻井性能,Marcellus Shale的运算符也利用了使用行业标准的实际信息传输标准标记语言(WITSML)协议来自动实时钻井性能的基于Web的应用程序KPI监测和咨询服务专注于标准化和减少WW时间。重量速度分为重量(WS),滑动滑动(SS)或连接时间,并滑动重量(SW)时间来分析钻井过程中的趋势和实践。该研究专注于平均WW时间改进,并在两个钻机上钻取32个井的操作一致性。这一持续改进过程,操作员通过自动化船员比较KPI确定了最佳的船员绩效,并在船员之间传播最佳实践。该研究结束,一个钻机WW目标达到率增加了50%。操作员也与钻机承包商合作,将钻机船员洗牌通过包括从最高效的钻机船员的主管人员到低效的钻机机组人员,以加速最佳实践的共享。此方法导致在钻探活动过程中平均速度的平均水平19%提高,并改善了整体钻井性能。在整个钻井运动中,最好的井用于在整个钻探运动中进行基准测试和更新,以便持续改进钻井性能。其特点技术结合现有的经过验证的井下技术可以帮助识别运营效率低下。使用远程运营中心进行规划,执行和风险降低的oberators可以通过采取及时和积极的措施来利用钻探KPI的实时监测。

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