在阿联酋的一个巨大的Brown油田,环境失效分析提高了大位移井的可靠性

E. Cantarelli, Khoa Le Pham Dang, H. Escalera
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引用次数: 0

摘要

当前日益复杂的井眼和紧缩的预算迫使作业者以更少的投入做更多的事情,并寻找新的方法来扩大钻井包络面。通常,这将参数推到极限,以实现更快的渗透率。在极限或超过极限的情况下运行会影响设备的可靠性和项目成本。对每个事件的根本原因进行彻底的故障分析可以帮助确定和解决需要改进的领域。确定原因可以促进改进,同时也可以突破边界,从而使成熟资产的盈利能力最大化。典型的故障分析试图确定故障的原因,并建立纠正措施以防止再次发生。在一个针对成熟油田的大型大位移钻井项目中,对单个故障的方法进行了扩展,并以主动的方式进行了预测,以预测当前故障模式在未来更具挑战性的情况下的影响。这种创新的方法结合了经典的失效分析方法和一种旨在识别和分类导致失效的每个因素的比较方法。然后将这些信息汇编成动态预测风险矩阵,以改进计划。该方法通过对单个故障的情境化分析和多方面的比较分析,揭示了可靠性趋势与环境挑战之间的模式。该模式与项目生命周期中钻井难度的增加有关,并表明必须修改长期建立的实践以克服新的情况。该分析有助于制定强有力的行动计划,立即显示出季度服务质量的持续改善,故障率下降了近50%。可靠性的提高直接影响了钻井时间的缩短,从而降低了整体建井成本。在当今的经济环境中,降低成本、优化资源和可持续性是作业者的首要任务,因此故障分析对于确保持续改进至关重要。需要有效的分析方法来识别和消除干扰因素,以最大限度地减少计划外事件并在预算范围内交付。通过深入挖掘事故的根本原因,这种新的故障分析方法能够从多个角度解决服务质量问题,从而实现更强大、更广泛、更有效的质量改进计划。从完善底部钻具组合(BHA)设计和风险矩阵,到起草现场指南和路线图,该方法还为未来的井规划改进提供了额外的指导和风险意识。这尤其适用于井筒复杂性增加而预算减少的成熟油田,因此有必要提高运营效率以确保盈利能力。
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Contextual Failure Analysis Improves Reliability While Pushing the Envelope of Extended Reach Wells in a Giant Brown Field, UAE
The current combination of increasingly complex wellbores and tightening budgets forces operators to do more with less and find new ways to expand the drilling envelop. Often this pushes the parameters to the limit in order to achieve faster penetration rates. Operating at the limit or beyond impacts equipment reliability and project cost. A thorough failure analysis of the root cause(s) of every incident can help identify and address areas that need improvement. Identifying a cause fosters improvement while it simultaneously pushes the boundaries so the profitability of mature assets can be maximized. Typical failure analysis attempts to determine the cause of a failure and establish corrective actions to prevent reoccurrence. In a large extended reach drilling project targeting a mature field, the approach to a single failure was expanded and projected in a proactive manner to anticipate the impact of current failure modes in future more challenging scenarios. This innovative method combines the classic failure analysis approach with a comparative approach designed to identify and classify each factor that contributed to the failure. This information is then compiled into a dynamic predictive risk matrix to improve the planning. This method, thanks to the contextualization of individual failures and the multi-facet comparative analysis, revealed a pattern between reliability trends and environmental challenges. The pattern was correlated with the increased drilling difficulty over the lifetime of the project, and suggested that the long-established practices had to be revised to overcome the new scenario. The analysis contributed to the delineation of a strong action plan that immediately revealed a consistent service quality improvement quarter on quarter and nearly a 50% decrease in failure rate. The enhanced reliability had a direct impact on the performance that registered a significant reduction of the drilling time, thus lowering the overall well construction cost. In today's economics where cost reduction, resource optimization and sustainability are at the top of the operator's priority list, failure analysis has become paramount to ensure continuous improvement. Effective analytic methods to identify and eliminate showstoppers are needed to minimize unplanned events and deliver within budget. By digging deep into the root cause of incidents, this new approach to failure analysis enabled an enhanced, broader and more effective quality improvement plan that tackled service quality from multiple angles. From refining bottomhole assembly (BHA) design and risk matrix to drafting field guidelines and roadmaps, this approach also provided extra guidance and risk awareness for future well planning improvement. This particularly applies to mature fields where wellbore complexity increases at the same time budgets decrease and it's necessary to improve operational excellence to assure profitability.
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