速率瞬态分析数据的创新油藏规模集成:新的增产指标和对受试岩石体积行为的见解

S. Perrier, A. Araman, Ashis Shrestha, Zulibukaer Shawuti
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摘要

速率暂态分析(RTA)是非常规井的经典表征方法。在本文中,我们建议利用RTA速率-压力转换,通过分析区块规模的数据,使用模式和异常分类算法,为切萨皮克能源公司在Utica页岩气区块运营的600多口井得出新的定量和定性指标。本文将介绍一种自动分类和提取RTA特征的工作流程,包括收集与井间干扰相关的弱信号。受激岩石体积(SRV)特征随时间的变化而变化。对SRV特征发生演化的背景进行全面回顾,为枯竭条件下水力裂缝地质力学行为的讨论引入了一个新的领域。特别是,这些SRV特征的演化在时间和地理分布上具有相当结构化的方式,并且后期RTA斜坡(在瞬态流动状态下)表现出向明显的地质力学稳定状态收敛的强烈趋势。SRV特征的这些变化对油藏工程师以及压裂技术性能的理解和基准具有多重意义。提出了一个新的增产指标:1_m2_clusters。
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Innovative Play-Scale Integration of Rate Transient Analysis Data: New Stimulation Indicator and Insights on Stimulated Rock Volume Behavior With Depletion
Rate Transient Analysis (RTA) is a classic characterization method for unconventional wells. In this paper, we propose to leverage RTA rate-pressure transforms by analyzing the data at play scale, using pattern and anomaly classification algorithms, to derive new quantitative and qualitative indicators for more than 600 wells operated by Chesapeake Energy on Utica gas shale play. This paper will present:a workflow of automated classification and extraction of RTA characteristics, including the collection of weak signals associated to well-to-well interferences.the major large-scale observation of this study: Stimulated Rock Volume (SRV) characteristics change over time The comprehensive review of the context of occurrence of these evolutions in SRV characteristics introduces a new field of discussion on hydraulic fracture geomechanical behavior under depletion. In particular, these evolutions of SRV characteristics occur in a fairly structured way (in term of timing and geographic distribution), and the late RTA slopes (in transient flow regime) show a strong trend of convergence toward an apparent geomechanical stable state. These evolutions in SRV characteristics have multiple implications for the reservoir engineer as well as for the understanding/benchmarking of the performance of fracturing techniques. A new stimulation indicator is proposed, 1_m2_clusters.
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