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Automated Alarms for Managing Drilling Pressure and Maintaining Wellbore Stability─New Concepts in While-Drilling Decision Making

机译:用于管理钻孔压力和维持井筒稳定性的自动报警 - 钻井决策中的概念

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Due to the increased complexity of oil and gas wells being drilled worldwide, many encounter significant geologic uncertainty?during?wellbore?construction. This?uncertainty?can?be?manifested?in?the?form?of?unplanned?drilling?events?such as kicks, lost circulation, and borehole stability problems. These issues expose operators to serious health, safety and environmental?(HSE)?risks?and?frequently?lead?to?significant?cost?overruns. However,?if?a?more?proactive?effort?was?placed on predicting and identifying trouble zones in real time, it may be possible to achieve a substantial reduction in nonproductive?time?(NPT)?while?simultaneously?reducing?safety?risks. With the abundance of drilling and logging data now available in real time,?much of this information can be used to recognize potential problem areas while drilling. Until recently, ensuring that the right person receives the right information?at the right time to?make?an informed?decision?has?been?accomplished?primarily through?manual?processes. However, computer systems available today can automate the filtering and distribution of relevant information to personnel?quickly?for?more?rapid?assessment?of?the?current?situation. In?addition to?data?handling?and?distribution, these systems can?also?provide?automated?alarms that?aid in reducing the probability?of?an?unplanned?event?by?focusing?the?attention?of?personnel?on?the?most important?datasets?as?well?as?their interpreted?relationships. Alarms?can?automatically?interpret?complex?real‐time?datasets?in?the?context?of?pre‐well?models and quickly provide?warnings?without relying solely on the experience of the individual to decipher the information in context and detect potential danger. They also provide assistance for less experienced personnel enabling better risk assessment?awareness?and,?in?turn,?more?reliable?decision?making. This?paper?presents?a?case?study?for?a?system?of?real‐time?automated?wellbore?stability?alarms?aimed?at?identifying?trouble zones and improving ahead of the bit predictions. The goal?was to reduce the potential for kicks, lost circulation and wellbore instability events. Special software is used for processing real‐time data, in the context of geomechanical modeling,?and?raising?appropriate?alarms?when?conditions?cause?drilling?parameters?to?deviate?outside?an?acceptable?level. The case study also discusses how these alarms can be used in a remote services platform by transmitting real‐time information from the?wellsite to experts in town,?which enhances collaboration and improves customer value through better engagement. Finally, the paper describes how automated alarms help to establish and enforce better communication protocols and accountability through an acknowledgment process that includes depth and time‐based comments.
机译:由于石油和天然气井的复杂性增加,许多遇到了重大的地质不确定性?在?井筒?建筑。这个不确定性?可以吗?是吗?表现出来?在??形式??意外?钻了?事件?如踢,循环和钻孔稳定性问题。这些问题将运营商暴露于严重的健康,安全和环境?(HSE)?风险?和?经常?铅?到?重要?成本?超支。但是,如果?一个?努力?努力?是在实时预测和识别麻烦区域的努力,可以在非培训的时间内实现大幅度减少?(NPT)?同时?安全?风险。随着现在可以实时提供的钻井和记录数据的丰富,其中大部分信息可用于在钻井时识别潜在的问题区域。直到最近,确保合适的人收到了正确的信息?在适当的时候?呢?一个人?决定?已经?已经完成了?主要通过?手动?进程。但是,今天可用的计算机系统可以自动化过滤和分发相关信息的人员?迅速?更多?快速?评估??当前?情况。进入?数据?处理?和?分发,这些系统可以?也可以?提供?自动化?警报?援助减少概率?一个?未计划?事件?of?of?关注?人员?上?最重要的?数据集?好吗?他们的解释?关系。警报?可以自动吗?解释?复杂?实时?数据集?在?上下文?of offer?模型并迅速提供?警告?没有依赖于个人的经验,在上下文中解读信息并检测潜在的危险。他们还提供对不太经验丰富的人员提供帮助,从而提高风险评估?意识?和,?转身?更可靠?决定?制作。这个纸张?礼物?一个?案例?学习?为了?一个?系统?实时?自动化?井筒?稳定?瞄准?识别?识别?识别?识别出误报并提前提前提前提前改善。目标是:要减少踢球,流通失去流通和井筒不稳定事件。特殊软件用于处理实时数据,在地质力学建模的背景下,呢?举起?适当?警报?当?条件?导致?参数?到?偏离?一个?一个?可接受?水平案例研究还讨论了这些警报如何通过将来自镇上的实时信息传输到专家的实时信息,通过更好的参与来增强合作并提高客户价值。最后,本文介绍了自动警报如何通过包含深度和时间的评论的确认过程来帮助建立和实施更好的通信协议和问责制。

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