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Estimating Drainage-Area Pressure With Flow-After-Flow Testing

机译:通过流后测试估计排水面积压力

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Estimating the average drainage-area pressure (p_(av)) of individual wells is a cornerstone to any reservoir-management practice. Yet conventional methods do not always offer reliable solutions to this vexing problem. This study shows that transient flow-after-flow (FAF) testing offers an excellent opportunity to establish p_(av) in a time-lapse mode, when conducted following operational shutdowns. Instrumented wells are natural candidates for FAF testing. Real-time surveillance offers the opportunity to perform rate-transient analysis that results in drainage volume and, consequently, p_(av). However, gathering quality rate data commensurate with pressure over a long producing period is fraught with uncertainty, which raises questions about the validity of the p_(av) so obtained. In addition, continuous changes in drainage-boundary conditions pose modeling challenges with a given reservoir model. Therefore, the independent estimation of p_(av) cannot be overemphasized. This paper presents a theroretical framework for transient FAF testing and also shows a pragmatic approach to handling pressure/rate data incoherence.
机译:估算单个井的平均排水面积压力(p_(av))是任何储层管理实践的基石。然而,常规方法并不总是为这个令人烦恼的问题提供可靠的解决方案。这项研究表明,在运行关闭后进行时,瞬态流后流(FAF)测试为以延时模式建立p_(av)提供了极好的机会。仪器井是进行FAF测试的自然选择。实时监视提供了执行速率瞬态分析的机会,从而导致排水量增加,从而导致p_(av)。然而,在较长的生产周期内收集与压力相对应的质量速率数据充满了不确定性,这引发了对如此获得的p_(av)的有效性的质疑。此外,对于给定的储层模型,排水边界条件的连续变化也给建模带来了挑战。因此,不能过分强调p_(av)的独立估计。本文介绍了用于瞬态FAF测试的理论框架,还展示了一种实用的方法来处理压力/速率数据不连贯。

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