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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 shaleswithout traditional log measurements. Horizontal wells continue to be drilled, and while the number of stimulation stagespumped per lateral length continues to increase, many questions remain: Is there an increase in production commensurate tothe added cost, or will it soon become unsustainable? Would better characterization of the effective surface area afterhydraulic fracture stimulation help explain the reservoir potential? Analysis of production data from fractured shale gas wells is difficult. Operators try to estimate fracture and reservoirproperties for a horizontal well with multiple hydraulic fractures by using pressure transient testing, even though in reality itcould take 10,000 years for the actual reservoir pressure to be measured. Alternatively, others model the production offractured shale gas reservoirs from a zone-altered permeability area, which may be quite limited in areal extent but issurrounded by a low-matrix-permeability reservoir to account for the well productivity. Ultimately a simplistic reservoirmodel 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 andidentify the dominate production drivers. Existing approaches to model shales require years of production data, and eventhen they cannot uncouple reservoir properties from completion parameters to help optimize flow efficiency. Whenproduction is measured on a stage-by-stage basis, and laboratory and log analysis data are presented for reservoir and fluidcharacterization, solving for the created effective surface area should be straightforward. By better characterizing along thewellbore and by discriminating the contributions of RQ and CQ to the reservoir production, we will be able to better predictlong-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 ofpossibilities for better interpretation, i.e these production models must go hand-in-hand with hydraulic fracture models todetermine 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众多,但在各种ShalesWithout Out传统日志测量中,大多数井都完成。水平井继续钻探,而每次横向长度的刺激数量持续增加,仍然存在许多问题:在增加的生产中增加了增加的成本,或者它很快就会变得不可持续?将更好地表征有效的表面积后液压骨折刺激有助于解释储层潜力吗?来自裂缝页岩气井的生产数据的分析很难。操作员尝试通过使用压力瞬态测试来估计具有多种液压骨折的水平良好的骨折和储量率,即使实际上它可能需要10,000年的实际储层压力。或者,其他其他模型从区域改变的渗透面积模拟生产脱裂的页岩气储层,其在面积范围内可能相当有限,而是通过低矩阵渗透率储存器来算用于良好生产率的情况。最终,用于生产预测的简单储层使用任何数据可用和我们的流域体验。我们如何验证这些模型?传统上,我们可以看看案例研究,找到一个类似的情况来验证和识别主导的生产司机。型号的现有方法需要多年的生产数据,并且Eventhen它们不能从完工参数中的储层属性不膨胀,以帮助优化流量效率。当在逐步阶段的基础上测量生产时,并且呈现用于储存器的实验室和对数分析数据,因此对所产生的有效表面积的求解应该是简单的。通过更好地沿着Wellberbore表征,并通过鉴定RQ和CQ对储层生产的贡献,我们将能够更好地预测龙井生产,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一种愿景,即这些生产模型必须与液压骨折模型一起携手携手,从而促进生产的关键参数,从而充分优化并充分优化现场生产。

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