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Integrating Multiple Production Analysis Techniques To Assess Tight Gas Sand Reserves: Defining a New Paradigm for Industry Best Practices

机译:整合多种生产分析技术来评估狭小气体储备:为行业最佳实践定义新的范例

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Decline curve analysis using the Arps rate-time equations has historically been the primary tool used for reserve evaluations in tight gas sands. However, characteristic tight gas sand properties often preclude accurate assessments using only or primarily decline curve analysis - especially early in the productive life. Moreover, the Arps models are essentially used as curve- fitting devices with (very) limited theoretical basis. As such, this paper presents a reserves appraisal process that complements traditional decline curve analyses with theoretically-based production analysis techniques. Specifically, we incorporate multiple reserves estimation techniques ranging from simple extrapolation techniques to rigorous model-based analysis/interpretation methods, including:1. Arps exponential and hyperbolic relations - rate-time and rate-cumulative plots, as well as other auxiliary plots,2. Semi-analytical rate-cumulative techniques for boundary-dominated flow,3. The "flowing material balance" approach in its various formulations, and 4. Model-based analysis ("rate-transient" or "model-matching" approaches). We provide both separate and combined analysis, including "diagnostic" plots which guide the evaluation process and help prevent erroneous reserve estimates resulting from use of single methods. Implementation of the proposed workflow will prevent unrealistic (either too low or high) reserve bookings by integrating multiple production analysis techniques. We demonstrate where and how each component technique should be used as well as their limitations. We also demonstrate how each technique can be used to reinforce/validate results from other techniques (i.e., multiple redundancies of methods). The primary objectives of this work are to: Provide a consistent workflow for integration of multiple reserve estimating techniques for tight gas sands, Provide an assessment of strengths and weaknesses of individual reserves estimation techniques, and. Provide demonstrative examples for implementing this workflow (including diagnostics).
机译:使用ARPS速率 - 时方程的下降曲线分析历史上是用于狭小天然气砂中的储备评估的主要工具。然而,特征紧的气体砂特性通常不能仅使用或主要下降曲线分析来排除准确的评估 - 特别是在生产寿命中的早期。此外,ARPS模型基本上用作具有(非常)有限的理论基础的曲线拟合装置。因此,本文提出了一种储备评估过程,其与理论上基于生产分析技术进行了补充传统的下降曲线分析。具体而言,我们采用了多种储备估计技术,从简单的外推技​​术到严格的基于模型的分析/解释方法,包括:1。 ARP指数和双曲关系 - 率 - 时间和速率累积图,以及其他辅助情节,2。边界主导流动的半分析速率累积技术,3。在其各种配方中的“流动材料平衡”方法,以及基于模型的分析(“速率瞬态”或“模型匹配”方法)。我们提供单独的和综合分析,包括指导评估过程的“诊断”图,并帮助防止使用单一方法产生的错误储备估计。通过整合多种生产分析技术,建议工作流程的实施将防止不现实的(过低或高)预留预订。我们演示了应使用每个组件技术以及它们的局限性。我们还展示了如何使用各种技术来加强/验证来自其他技术的结果(即,方法多冗余)。这项工作的主要目标是:提供一致的工作流程,用于整合多储气估计技术,用于狭小的气体砂,提供各个储备估算技术的强度和弱点的评估。提供用于实现此工作流程(包括诊断)的示范示例。

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