首页> 外文会议>SPWLA annual logging symposium >IDENTIFICATION OF VERTICAL COMPARTMENTALIZATIONAND COMPOSITIONAL VARIATION BY DOWNHOLE FLUIDANALYSIS; TOWARDS A CONTINUOUS DOWNHOLE FLUID LOG
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IDENTIFICATION OF VERTICAL COMPARTMENTALIZATIONAND COMPOSITIONAL VARIATION BY DOWNHOLE FLUIDANALYSIS; TOWARDS A CONTINUOUS DOWNHOLE FLUID LOG

机译:通过井下流体分析鉴定垂直分区和组成变化;走向连续的井下流体测井

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Compartmentalization and spatial variations offluid composition are two primary factors thatcause major and expensive differences betweenpredicted and actual performance in the oil field.Fluid compositional variations must beunderstood in order to acquire fluid samplesrepresentative of the reservoir at large, not just oflocal fluid properties. Downhole Fluid Analysis(DFA), a new concept in Wireline logging, isessential to achieve this understanding. Theprohibitive difficulty in the past prior to DFA hasbeen justifying extensive wireline sampleacquisition and lab analysis without a priorievidence of fluid complexities. In this paper,DFA is shown to be the "missing link,"providing the information necessary to optimizethe sampling process and to decide in real timeon where sampling is necessary. A larger numberof DFA stations coupled with several DFAdirectedsampling stations efficiently utilizesfluid analysis resources. DFA is a significantadvance towards the objective of a 'continuousdownhole fluid log.' DFA stations can beincreased in real time in concert with uncoveredfluid complexities without increasing logisticaldemands. In addition, fluid compositionalvariations can be utilized as a tool to identifycompartmentalization because differentcompartments are likely to be filled withdifferent fluids. In particular, DFA is shown toidentify compartmentalization via fluid densityinversions. DFA is a powerful new tooladdressing primary technical concerns forimproving the prediction of production.
机译:的区划和空间变化 流体成分是两个主要因素 造成重大和昂贵的差异 油田的预测和实际表现。 流体成分变化必须为 了解以获取流体样本 代表整个水库,而不仅仅是 局部流体性质。井下流体分析 (DFA)是有线测井的新概念, 实现这种理解必不可少的。这 在DFA之前,过去存在过高的困难 证明大量的电缆样本是合理的 无需先验的采集和实验室分析 流体复杂性的证据。在本文中, DFA被显示为“缺少链接”, 提供优化所需的信息 采样过程并实时决定 在需要采样的地方。更大的数目 DFA站的数量加上几个DFA定向的 采样站有效利用 流体分析资源。 DFA非常重要 朝着“持续不断”的目标前进 井下流体测井。 DFA电台可以是 实时增加与发现 流体复杂性而不增加后勤 需要。另外,流体成分 变体可以用作识别的工具 分区化,因为不同 车厢可能充满 不同的液体。特别是,DFA显示为 通过流体密度识别分隔 倒置。 DFA是功能强大的新工具 解决以下主要技术问题 改善产量预测。

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