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Methodology and Benefits of a Drilling Analysis Paradigm

机译:钻探分析范式的方法和益处

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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, and logging data, are shown to be amenable to organization into a knowledge-based structure that permits: 1 Use of statistical analysis to develop challenging but achievable technical limits, or best composite time (BCT),for similar wells - location, depth, hole size. 2 Statistics-based best composite cost (BCC), the dollars equivalent of BCT. Both the BCC and BCT represent practical, challenging but achievable benchmarks that are continuously upgraded, providing significant steps in the process of drilling costs reduction. 3 Specialized learning-curve analysis, trouble-time analysis, flat-time analysis, time vs. depth analysis, cost vs. depth analysis, rig and crew performance evaluation, bit-on- bottom and tripping analysis, time distribution plots, etc. 4 Convenient drilling data cross-correlation with wireline logs, geology and mud-log data, to further delineate drilling problem zones and improve drilling 5 operational performance. 6 A historical understanding of well construction that can contribute to continuing drilling improvement, and a method to provide feedback and collaboration with company drilling personnel, rig contractors, and This paper reviews existing variations, key elements, and typical field applications of drilling analysis, and puts forth the case that drilling analysis should become an integral part of drilling engineering, the same way well-test analysis is an integral part of reservoir engineering. The need for a university curriculum and training on this key discipline is stressed, along with the necessity for management to champion the use of drilling analysis as an on-going process to improve organizational drilling performance.
机译:本文讨论了钻井工程钻探分析的一段 - 假设通常练习,但在许多情况下,不需要需要的需要,时间和资源。常规获取的钻井,地质,泥耳日志和记录数据被证明可以将组织融入基于知识的结构,允许:1使用统计分析来制定具有挑战性,但可实现的技术限制,或最佳复合时间(BCT) ,对于类似的井 - 位置,深度,孔尺寸。 2基于统计的最佳综合成本(BCC),美元等同BCT。 BCC和BCT都代表了实用的,具有挑战性的,但可实现的基准,这些基准是不断升级的,在减少钻井成本过程中提供了重大步骤。 3专业学习曲线分析,故障时间分析,平稳分析,时间与深度分析,成本与深度分析,钻机和船员性能评估,底部和跳闸分析,时间分布图等。 4与有线日志,地质和泥流数据的方便钻探数据交叉相关,进一步描绘钻探问题区域,提高钻孔5运行性能。 6对井建筑的历史理解,可以有助于继续钻探改进,以及提供与公司钻井人员,钻机承包商的反馈和合作的方法,以及本文审查了钻井分析的现有变化,关键元素和典型的田间应用。提出钻井分析应该成为钻井工程的组成部分的情况,同样的方式是井测试分析是水库工程的一个组成部分。强调了对大学课程和对这一关键纪律培训的需求,以及管理层的必要性,冠军使用钻探分析作为改善组织钻井性能的持续过程。

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