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Holistic Field Evaluations Improve Prospect Opportunities

机译:整体现场评估可改善潜在机会

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A holistic or overall reservoir performance perspective isrnseldom used in the well planning/decision process. Thernindustry has a tendency to use broad generalizations alongrnwith uncertain interpolated reservoir information. Geologicrncomplexity tends to turn these generalizations andrnassumptions into less-than-acceptable potential prospectrnperformance predictors. In addition, the industry has arntendency to evaluate the reservoir and well drilling/completionrnprocess from a segmented or compartmentalized perspective.rnNumerous examples of this process exist. Petrophysicists,rnreservoir engineers, geologists, and drilling and completionrnengineers perform discrete evaluations based on their trainingrnand experiences in other reservoirs. Service companies arerngiven incentives to concentrate on delivery/service issues andrnproduct revenue. Consultants focus on developing specificrnniches or completing assigned tasks. Single wells are analyzedrnrather than trying to understand how the well fits within thernentire reservoir. Many operators grade themselves on theirrnability to drill and complete for less than industry standard.rnTheir focus is on well cost.rnWhat the industry needs is an understanding of how allrnthese issues fit into the big picture. The subject of this paper isrna summary of field evaluations performed to provide a holisticrnperspective. Results are presented that show how these effortsrnhave identified significant reservoir opportunities withrnresulting productivity and prospect economic improvement.rnThe evaluations presented in this paper are holistic inrnnature and were performed by a team of experts. Thesernevaluations consist of field data quantification, integration,rnenhancement, statistical and visual analysis, dimensionrnreduction, and development of a predictive artificial neuralrnnetwork (ANN) model. The ANN model is used to identifyrnpatterns and trends related to the geology and to reservoir andrnwell completion issues. Economic assessments of variousrncompletion/stimulation methods are presented. Engineeringrnevaluations are performed to resolve difficult interpretationrnissues and test conclusions. The resulting information wasrnthen used to drive changes in well completion/stimulationrnprocedures, which in some cases doubled the prospects value.rnThis paper will illustrate the benefits of taking a holisticrnapproach to field-wide problem solving.
机译:在油井规划/决策过程中很少使用整体或整体油藏性能视角。工业界倾向于使用广泛的概括以及不确定的内插储层信息。地质复杂性倾向于将这些概化和假设变为潜在的,性能不佳的潜在预测指标。另外,该行业有能力从分段或分隔的角度评估储层和钻井/完井过程。存在该过程的许多示例。岩石物理学家,储层工程师,地质学家以及钻井和完井工程师根据他们在其他储层中的训练和经验进行离散评估。服务公司受到激励,将精力集中在交付/服务问题和产品收入上。顾问专注于开发特定职位或完成分配的任务。而不是试图了解该井如何适合整个储层,对单井进行了分析。许多运营商对自己的钻探和完成能力的评价不及行业标准。rn他们的重点是合理的成本。rnrn行业需要的是了解所有这些问题如何适应大局。本文的主题是现场评估的摘要,旨在提供整体的看法。结果表明,这些努力如何发现了巨大的油藏机会,从而带来了生产力和经济前景的改善。本文提出的评估是整体性的,并且是由一个专家团队进行的。评估包括现场数据量化,集成,增强,统计和视觉分析,降维以及开发预测性人工神经网络(ANN)模型。人工神经网络模型用于识别与地质,储层和井筒完井问题有关的模式和趋势。提出了各种完成/刺激方法的经济评估。进行工程评估以解决困难的解释问题和测试结论。然后将所得信息用于推动完井/增产程序的变化,在某些情况下,这会使远景价值翻倍。本文将说明采用整体方法解决整个油田问题的好处。

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