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A road map for improving the technical basis for the estimation of petroleum reserves

机译:改善石油储量估算技术基础的路线图

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Reserves estimation can be based on one or more methodologies,each with its associated uncertainty.These include 'static' volumetrics,reservoir simulation,material-balance analysis,and/or projections of ultimate recovery according to production decline.The static volumetric method is in focus here,as the most commonly used approach during the development and early production stages when there has been limited petroleum recovery and the uncertainty associated with a reserves estimate can be considerable.There are several key technical aspects of the static volumetric process,including:the issue of minimum data requirements in relation to reservoir complexity;the upscaling of reservoir parameters and the interpretative algorithms through which they are interrelated;the identification of net reservoir and net pay;and the integration of data sources in a manner that is dynamically conditioned,i.e.tied back to permeation properties.This last point is especially important because reserves,by definition,are commercially recoverable.Suggested improvements reveal additional opportunities for cross-validation and groundtruthing.The approach is synthesized into a high-level,yet pragmatic work-plan.It is proposed that the adoption of such a workplan will remove some of the uncertainty that is currently inherent in the technical process for estimating reserves.
机译:储量估算可以基于一种或多种方法,每种方法都具有相关的不确定性。这些方法包括“静态”体积,储层模拟,物料平衡分析和/或根据产量下降的最终采收率预测。在此重点关注,这是在开发和早期生产阶段中石油采收率有限且储量估算相关的不确定性可能相当大的最常用方法。静态体积过程的几个关键技术方面包括:与储层复杂性有关的最低数据要求的问题;储层参数的提升及其相互关联的解释算法;净储层和净开采量的识别;以及以动态条件化的方式集成数据源,即与渗透性能有关。最后一点特别重要,因为储量定义,是可商业恢复的。建议的改进为交叉验证和突破提供了更多的机会。该方法被综合为一个高级但又务实的工作计划。建议采用这样的工作计划将消除一些不确定性。这是当前估算储量的技术过程中固有的。

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