Adaptability of Power Law Exponential Decline Model for Hydraulically Fractured Unconventional Reservoirs during and After Linear Flow

Haijun Fan, Xueqian Zhu
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Abstract

Reserve estimation of unconventional formations is a new challenge to reservoir engineers due to the geological uncertainty and complex flow patterns evolving in the multi-fractured horizontal wells (MFHWs). Some predicting models have been presented and widely used in MFHWs exhibiting a long-term linear flow, such as stretched-exponential production-decline (SEPD), power law exponential decline (PLE) and Duong’s model. Plenty of successful field applications of these models seem to have demonstrated their availability and correctness especially in the transient linear flow period. Due to the limitation of reservoir boundaries or size of stimulated volume, any fractured tight reservoir will eventually exhibit a boundary-dominated-flow (BDF). The models above which show “goodness of fit” in linear flow may not be used or will cause great error when used to predict production in BDF period. This paper compared the newly developed PLE model with the traditional Arps’ hyperbolic decline model in terms of production historic match, decline rate and decline exponent during and after linear flow. The analysis result demonstrated that PLE model actually cannot match production decline characteristics as previously thought when only linear flow appears and it is a model which should be used in the transition period rather than linear flow period as applied in the past few years. The wrong usage of the model will cause great error to reserve estimation. The modified steps to predict production in different flow pattern are given in this work. The outcome of this work should help the industry to forecast production and ultimate reserve more accurately in tight oil and shale gas reservoirs.
幂律指数下降模型对非常规水力压裂油藏线性渗流前后的适应性
由于多裂缝水平井的地质不确定性和复杂的流动模式,非常规储层的储量估算对储层工程师来说是一个新的挑战。一些预测模型已经被提出并广泛应用于长期线性流动的MFHWs,如拉伸指数产量递减(SEPD)、幂律指数递减(PLE)和Duong模型。这些模型的大量成功的现场应用似乎证明了它们的有效性和正确性,特别是在瞬态线性流动阶段。由于储层边界或压裂体积大小的限制,任何裂缝性致密储层最终都会表现为边界主导流(BDF)。上述在线性流动中表现出“拟合优度”的模型在预测BDF时期的产量时可能不被使用或会产生很大的误差。本文将新建立的PLE模型与传统的Arps双曲递减模型在线性流动期间和之后的产量历史匹配、递减速率和递减指数进行了比较。分析结果表明,当只出现线性流动时,PLE模型实际上不能像以前认为的那样匹配产量下降特征,它是一个应该在过渡时期使用的模型,而不是过去几年使用的线性流动时期。模型的错误使用将会对储备估计造成很大的误差。本文给出了不同流型下产量预测的改进步骤。这项工作的结果将有助于行业更准确地预测致密油和页岩气储层的产量和最终储量。
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