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Integration of In-Situ Fluid Measurements for Pressure Gradients Calculations

机译:压力梯度计算的原位流体测量的整合

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Reservoir fluids often show complex compositional behaviors in single columns in equilibrium due to combinations of gravity,capillary and chemical forces.Frequently non equilibrium or non stationary state conditions are also encountered,for instance due to thermal forces acting.Recognizing these behaviors downhole is a complex process that requires a greater number of data points,fluid samples and associated laboratory analysis.Pressure gradients with wireline formation testers are traditionally used to evaluate fluid density,fluid contacts,and layer connectivity in exploration settings.This information is today supplemented by downhole fluid analysis(DFA)Measurements to reveal possible reservoir fluid heterogeneities.Although these fluid complexities have been largely recognized,conventional pressure-depth plot and pressure gradient analysis are still performed with traditional straight line regression schemes.This process may however be misleading as fluid compositional changes and compartmentalization give distortions in the pressure gradients,which lead to erroneous interpretations of fluid contacts or pressure seals.Hence the models imposed on the pressure data to calculate pressure gradients need to incorporate a rigorous mathematical approach to respect all data available,so as to follow an objective assessment of reserves and reservoir architectures.This paper presents a method to use combined repeated pressure and in-situ fluid measurements to provide a simple model of vertical fluid distributions,looks at the different regression schemes that can be imposed on pressure data to calculate fluid gradients with their associated uncertainties and concludes on an optimal fit approach.This data integration then allows making assessments and quality control of the different measurements and conclusions about the relevant reservoir heterogeneities.
机译:由于重力,毛细管和化学力的组合,储层液通常在平衡中的单柱中显示复杂的成分行为。由于热力作用,因此也遇到了不平衡或非平衡或非静止状态条件。令人核对这些行为井下是一种复杂的需要更多数据点,流体样本和相关实验室分析的过程。用电线形成测试仪压抑梯度传统上用于评估勘探设置中的流体密度,流体触点和层连接。这是今天通过井下液体分析补充的信息(DFA)测量以揭示可能的储层流体异质性。虽然这些流体复杂性在很大程度上被识别出,但仍然以传统的直线回归方案进行常规的压力深度图和压力梯度分析。然而,作为流体成分变化和流体的成分变化可能会误导,仍然进行常规的压力深度图和压力梯度分析。 C OMPARTMENTALIZATION在压力梯度造成扭曲,这导致流体触点或压力密封的错误解释。施加在压力数据上的模型来计算压力梯度,需要包含一种严格的数学方法来尊重可用的所有数据,以便跟随客观评估储量和水库架构。本文提出了一种使用组合重复压力和原位流体测量的方法,以提供一种简单的垂直流体分布模型,查看可以对压力数据施加的不同回归方案来计算流体梯度及其相关的不确定性和最佳拟合方法的结论。然后数据集成允许对相关储层异质性进行不同测量和结论进行评估和质量控制。

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