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首页> 外文会议>Proceedings of The 38th IPA convention and exhibition-Strengthening Partnership to Enhance Indonesia’s Energy Resilience and Global Competitiveness >TIGHT RESERVOIRS – HYDRAULIC FRACTURE PRODUCTION MODELING USING NUMERICAL SIMULATION
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TIGHT RESERVOIRS – HYDRAULIC FRACTURE PRODUCTION MODELING USING NUMERICAL SIMULATION

机译：致密储层–利用数值模拟的液压裂缝生产模型

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Cairn India has a number of permeabilityrnchallenged (1 mD – 10 μD) oil and gas reservoirs inrnBarmer and Krishna-Godavari basins in India. Thernwork programs on these permeability challengedrnreservoirs are in exploration/appraisal/developmentrnplanning stages. An understanding of permeabilityrnchallenged reservoirs is very important to optimizernthe development of such fields that have a hugernpotential to become game-changers.rnThe permeability challenged reservoirs arerndeveloped through hydraulic fractures whereby thernpermeability of the system is increased multifold inrnthe vicinity of the wellbore. In hydraulicallyrnfractured system the hydrocarbon flows fromrnreservoir matrix to fracture and then from fracturernto wellbore. The key job of reservoir engineering isrnto represent the hydraulic fracture in the numericalrnsimulation model enabling the high confidence inrnproduction forecast.rnTight reservoirs are produced with high drawdownsrnleading to multiphase flow scenarios near thernwellbore. In addition, a typical production profilernstarts with a peak initial rate followed by rapidrndecline and stabilizing to a pseudo-steady state raternfor long term. Thus capturing the near wellborernpressure transient is very important to understandrnthe reservoir dynamics for accurate prediction ofrnhydrocarbon flow.rnThere are several methods available in the literaturernto represent hydraulic fracture performance in thernnumerical simulation.rn1.Negative Skin Modelingrn2.Productivity Index/Local matrix PermeabilityrnModificationrn3.Transmissibility modificationrn4.Stimulated Rock Volume Modeling (Local GridrnRefinements)rnThe above methods work efficiently in singlernwellbore modeling but have several advantages andrndisadvantages on the full field numerical simulationrnto achieve accurate near wellbore flowrnrepresentation. The selection of hydraulic fracturernmodeling method depends upon the tradeoffrnbetween the model accuracy and simulation runrntime. This paper presents a good comparison ofrnvarious hydraulic fracturing numerical simulationrnmodels in tight reservoir application.
机译：印度的凯恩邦在印度的Barmer和Krishna-Godavari盆地有许多渗透率降低的（1 mD – 10μD）油气藏。这些针对渗透率挑战的储层的工作计划处于勘探/评估/开发计划阶段。理解渗透率增高的油藏对于优化这类具有巨大潜力成为游戏规则改变潜力的油田的开发非常重要。渗透率挑战的油藏是通过水力压裂开发的，从而使系统的渗透率在井眼附近成倍增加。在水力压裂系统中，碳氢化合物从储层基质流向裂缝，然后从裂缝流向井筒。油藏工程的关键工作是在数值模拟模型中表示水力压裂，从而实现高置信度的产量预测。致密油藏产量高，导致井筒附近的多相流情况。此外，典型的生产状况始于峰值初始速率，然后迅速下降并长期稳定到准稳态速率。因此，捕获近井筒瞬态压力对于理解储层动力学以准确预测烃流量非常重要。文献中有几种方法可以用来表示数值模拟中的水力压裂性能。rn1。负表皮建模rn2。生产率指数/局部基质渗透率rn改性rn3。传输率修正rn4受激岩石体积建模（局部网格修正）上面的方法在单井眼建模中有效，但是在全场数值模拟中具有多个优点和缺点，无法实现精确的近井眼流表示。水力压裂建模方法的选择取决于模型精度与模拟运行时间之间的权衡。本文对致密油藏中各种水力压裂数值模拟模型进行了很好的比较。

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