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首页> 外文会议>SPE/AAPG/SEG Unconventional Resources Technology Conference >Estimating Reserves and Tracking the Classification of Reserves and Resources Other than Reserves (ROTR) in Unconventional Reservoirs
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Estimating Reserves and Tracking the Classification of Reserves and Resources Other than Reserves (ROTR) in Unconventional Reservoirs

机译：估算保留和跟踪非传统水库中的储备（Rotr）以外的储备和资源分类

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摘要

The objectives of this paper are to summarize effective Reserves estimation methods for use in unconventional reservoirs, and to propose systematic procedures for classification of Resources other than Reserves (ROTR) volumes. We propose optimal timing for application of decline curve analysis (DCA), rate transient analysis (RTA), and reservoir simulation. Using these techniques, we provide results for one well from a 38-well database in the Permian Basin wells (TX USA). We then describe how the volumes are classified and categorized and how those volumes move between Reserves and ROTR as more information becomes available. We begin with the analysis of well performance, where we specify the information that is necessary for each estimation method. We then suggest procedures to identify the flow regimes using diagnostic plots, provide guidance on the application of multi-segment DCA models, and finally suggest procedures for the application of RTA and reservoir simulation. We continue with progress toward Reserves classification, starting with suggested procedures to reclassify Prospective Resources as Contingent Resources (upon discovery). We provide post-discovery guidance on development and commerciality for the project maturity sub-classes (within the Contingent Resources classification). We explain that "established technologies" must be technically and economically viable before they can be used for development decisions. And finally, we examine requirements to remove contingencies so that the volumes can be reclassified properly as Reserves.
机译：本文的目标是总结了在非传统水库中使用的有效储备估计方法，并提出了用于分类储备以外的资源（ROTR）卷的系统程序。我们提出了应用下降曲线分析（DCA），速率瞬态分析（RTA）和储层模拟的最佳时间。使用这些技术，我们为Permian Basin Wells（TX USA）的38孔数据库提供了一个良好的结果。然后，我们描述了卷如何分类和分类以及这些卷如何在储备和rotr之间移动，以及更多信息可用。我们从井的分析开始，我们指定了每个估计方法所需的信息。然后，我们建议使用诊断局部识别流动制度的程序，为多段DCA模型的应用提供指导，最后建议应用RTA和储库模拟的程序。从建议的程序重新分类预期资源作为偶然资源（在发现时）开始，我们继续进入储备分类。我们为项目成熟子课程的开发和商业提供后的发现指南（在或有资源分类中）。我们解释说，“建立的技术”必须在技术上和经济上可行，以便他们可以用于发展决策。最后，我们检查要求删除突发事件，以便可以将卷重新分类为储备。

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