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Production Data Analysis:Unraveling Rock Properties and Completion Parameters

机译:生产数据分析:解开岩石属性和完成参数

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The measurements available to estimate reservoir parameters are numerous,yet most wells are completed in various shales without traditional log measurements.Horizontal wells continue to be drilled,and while the number of stimulation stages pumped per lateral length continues to increase,many questions remain:Is there an increase in production commensurate to the added cost,or will it soon become unsustainable? Would better characterization of the effective surface area after hydraulic fracture stimulation help explain the reservoir potential? Analysis of production data from fractured shale gas wells is difficult.Operators try to estimate fracture and reservoir properties for a horizontal well with multiple hydraulic fractures by using pressure transient testing,even though in reality it could take 10,000 years for the actual reservoir pressure to be measured.Alternatively,others model the production of fractured shale gas reservoirs from a zone-altered permeability area,which may be quite limited in areal extent but is surrounded by a low-matrix-permeability reservoir to account for the well productivity.Ultimately a simplistic reservoir model for production forecasting uses whatever data is available and our basin experience.How do we validate these models? Traditionally we look at case studies to find an analogous situation to validate and identify the dominate production drivers.Existing approaches to model shales require years of production data,and even then they cannot uncouple reservoir properties from completion parameters to help optimize flow efficiency.When production is measured on a stage-by-stage basis,and laboratory and log analysis data are presented for reservoir and fluid characterization,solving for the created effective surface area should be straightforward.By better characterizing along the wellbore and by discriminating the contributions of RQ and CQ to the reservoir production,we will be able to better predict long-term well production and better understand the reservoir potential.This paper discusses the current status of production prediction for shale gas reservoirs and provides a vision of possibilities for better interpretation,i.e these production models must go hand-in-hand with hydraulic fracture models to determine the crucial parameters that drive production,thus fully optimize well and field production.
机译:估计储层参数可用的测量很多,但在没有传统的日志测量的情况下,大多数井都完成了在不同的日志测量的情况下。水肠孔继续钻孔,而每次横向长度泵送的刺激阶段的数量继续增加,则仍然存在许多问题:是生产的增加与增加的成本相比,或者很快就会变得不可持续?液压断裂刺激有助于解释储层潜力后,将更好地表征有效表面积吗?来自骨折页岩气井的生产数据的分析是困难的。期间通过使用压力瞬态测试,试图用多个液压骨折的水平良好的折断和储层性能,即使实际上它可能需要10,000年的水库压力测得的。另外的模型模型从区域改变的渗透面积生产破碎的页岩气储存器,这可能在区域范围内非常有限,而是被低矩阵渗透率储层包围,以解释良好的生产率。生产预测的储层模型用途使用任何数据和我们的流域体验。我们如何验证这些模型?传统上,我们可以查看案例研究,找到一个类似的情况来验证和识别主导的生产司机。模型Hales的方法需要多年的生产数据,即使它们不能从完工参数中解耦,以帮助优化流量效率。生产在逐步测量的基础上测量,呈现实验室和日志分析数据用于储存器和流体表征,对所产生的有效表面积的求解应该是简单的。通过沿着井筒的更好表征,并通过鉴别RQ的贡献和鉴别率的贡献CQ对水库生产,我们将能够更好地预测长期井生产,更好地了解水库潜力。本文讨论了页岩气藏生产预测的现状,为更好的解释提供了可能性,即这些可能性生产模型必须与液压骨折模型一起携手共进确保推动生产的关键参数,从而充分优化良好的良好和现场生产。

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