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Methodology and Benefits of a Drilling Analysis Paradigm

机译:钻井分析范式的方法论和好处

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This paper discusses a segment of drilling engineering --drilling analysis -- that is assumed to be practiced routinely,but in many cases is not given the necessary attention, time,and resources required.Routinely acquired drilling, geologic, mud-log, andlogging data, are shown to be amenable to organization into aknowledge-based structure that permits:? Use of statistical analysis to develop challenging butachievable technical limits, or best composite time (BCT),for similar wells – location, depth, hole size.? Statistics-based best composite cost (BCC), the dollarsequivalent of BCT. Both the BCC and BCT representpractical, challenging but achievable benchmarks that arecontinuously upgraded, providing significant steps in theprocess of drilling costs reduction.? Specialized learning-curve analysis, trouble-time analysis,flat-time analysis, time vs. depth analysis, cost vs. depthanalysis, rig and crew performance evaluation, bit-onbottomand tripping analysis, time distribution plots, etc.? Convenient drilling data cross-correlation with wirelinelogs, geology and mud-log data, to further delineatedrilling problem zones and improve drilling? operational performance.? A historical understanding of well construction that cancontribute to continuing drilling improvement, and amethod to provide feedback and collaboration withcompany drilling personnel, rig contractors, andservice companies.This paper reviews existing variations, key elements, andtypical field applications of drilling analysis, and puts forth thecase that drilling analysis should become an integral part ofdrilling engineering, the same way well-test analysis is anintegral part of reservoir engineering. The need for auniversity curriculum and training on this key discipline isstressed, along with the necessity for management tochampion the use of drilling analysis as an on-going process toimprove organizational drilling performance.
机译:本文讨论了钻井工程的一部分- 钻井分析-假定是常规进行的, 但在许多情况下,没有给予必要的关注,时间, 和所需的资源。 例行采集钻井,地质,泥浆测井和 记录数据,表明可以组织到 基于知识的结构允许: ?使用统计分析来发展具有挑战性但 可达到的技术限制或最佳合成时间(BCT), 对于类似的孔–位置,深度,孔尺寸。 ?基于统计的最佳综合成本(BCC),以美元为单位 相当于BCT。 BCC和BCT都代表 实用,具有挑战性但可以实现的基准 不断升级,在 降低了钻井过程的成本。 ?专业的学习曲线分析,故障时间分析, 固定时间分析,时间与深度分析,成本与深度 分析,钻机和机组性能评估,自下而上 和跳闸分析,时间分布图等 ?便捷的钻井数据与电缆互相关 测井,地质和泥浆测井数据,以进一步界定 钻探问题区域并改善钻探 ?经营业绩。 ?对油井建设的历史了解可以 为持续改善钻探做出了贡献,并且 提供反馈和协作的方法 公司钻井人员,钻机承包商以及 服务公司。 本文回顾了现有的变体,关键要素和 钻井分析的典型现场应用,并提出了 钻井分析应成为不可或缺的一部分的情况 钻井工程,以同样的方式进行试井分析 油藏工程的组成部分。对于这一关键学科的大学课程和培训的需求是 强调了管理的必要性 支持将钻探分析作为持续进行的过程来 改善组织的钻探绩效。

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