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Application of the Stretched Exponential Production Decline Model to Forecast Production in Shale Gas Reservoirs

机译:扩展指数生产下降模型在页岩气储层产量预测中的应用

摘要

Production forecasting in shale (ultra-low permeability) gas reservoirs is of great interest due to the advent of multi-stage fracturing and horizontal drilling. The well renowned production forecasting model, Arps? Hyperbolic Decline Model, is widely used in industry to forecast shale gas wells. Left unconstrained, the model often overestimates reserves by a great deal. A minimum decline rate is imposed to prevent overestimation of reserves but with less than ten years of production history available to analyze, an accurate minimum decline rate is currently unknown; an educated guess of 5% minimum decline is often imposed. Other decline curve models have been proposed with the theoretical advantage of being able to match linear flow followed by a transition to boundary dominated flow. This thesis investigates the applicability of the Stretched Exponential Production Decline Model (SEPD) and compares it to the industry standard, Arps' with a minimum decline rate. When possible, we investigate an SEPD type curve. Simulated data is analyzed to show advantages of the SEPD model and provide a comparison to Arps' model with an imposed minimum decline rate of 5% where the full production history is known. Long-term production behavior is provided by an analytical solution for a homogenous reservoir with homogenous hydraulic fractures. Various simulations from short-term linear flow (~1 year) to long-term linear flow (~20 years) show the ability of the models to handle onset of boundary dominated flow at various times during production history. SEPD provides more accurate reserves estimates when linear flow ends at 5 years or earlier. Both models provide sufficient reserves estimates for longer-term linear flow scenarios. Barnett Shale production data demonstrates the ability of the models to forecast field data. Denton and Tarrant County wells are analyzed as groups and individually. SEPD type curves generated with 2004 well groups provide forecasts for wells drilled in subsequent years. This study suggests a type curve is most useful when 24 months or less is available to forecast. The SEPD model generally provides more conservative forecasts and EUR estimates than Arps' model with a minimum decline rate of 5%.
机译:由于多阶段压裂和水平钻井的出现,页岩气(超低渗透率)气藏的产量预测引起了人们的极大兴趣。著名的产量预测模型Arps?双曲线下降模型,在工业上广泛用于预测页岩气井。如果不受约束,该模型通常会高估很多储量。为了防止高估储量而采用了最低下降率,但是由于有不到十年的生产历史可供分析,因此目前尚不知道准确的最低下降率。通常会进行有根据的猜测,即最低下降幅度为5%。已经提出了其他下降曲线模型,其理论上的优势是能够匹配线性流,然后过渡到边界支配流。本文研究了扩展指数生产下降模型(SEPD)的适用性,并将其与行业标准Arps的最小下降率进行了比较。如果可能,我们研究SEPD型曲线。对模拟数据进行分析以显示SEPD模型的优势,并在已知完整生产历史的情况下,将Arps模型的强制最小下降率为5%进行比较。通过具有均质水力压裂的均质油藏的解析解决方案,可以提供长期的生产行为。从短期线性流量(约1年)到长期线性流量(约20年)的各种模拟表明,该模型具有在生产过程中的各个时间处理边界支配流动发生的能力。当线性流量终止于5年或更早时,SEPD可提供更准确的储量估算。两种模型都可以为长期线性流量情景提供足够的储量估算。 Barnett页岩生产数据证明了模型预测现场数据的能力。丹顿和塔兰特县的油井分别进行分组分析。 2004井组生成的SEPD类型曲线可为以后几年的钻井提供预测。这项研究表明,当可以预测24个月或更短的时间时,类型曲线最有用。与Arps模型相比,SEPD模型通常提供更保守的预测和欧元估计,最低下降率为5%。

著录项

  • 作者

    Statton James Cody;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类
  • 入库时间 2022-08-20 19:41:52

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