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A fuzzy evaluation approach to oil/gas reserves analysis

机译:油气储量分析的模糊评价方法

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It has been observed that reservoir stochastic modeling technology, which makes uses of the reserve's parameters in stochastic model, solves the problem that the parameters are difficult to determine in complex reservoirs using traditional volumetric method. The approach, yet, without considering the inherent uncertainty of porosity, oil saturation and net gross ratio, can not determine the factors that play a leading role and evaluate the scale of influences on reserve calculation. In this paper, several sets of reserve calculation scenarios are presented based on the geological attributes of wells of X Oil Field. Using gray association analysis method to determine the reasonable petrophysical parameters, the optimal combinations of the influential factors involved in the calculation are used to compare relevance degrees of different programs. This paper resolves the ambiguity in the process of reserves estimation, following the quantitative assessment of effect of parameters uncertainty on reserve calculation. All we have attempted to achieve is to reduce risks and provide reliable basis in the decision-making of oil reservoir exploration and development.
机译:已经观察到,利用随机模型中的储量参数的储层随机建模技术解决了传统体积法难以确定复杂储层参数的问题。然而,这种方法在不考虑孔隙度,油饱和度和净毛比的固有不确定性的情况下,无法确定起主导作用的因素,也无法评估对储量计算的影响程度。本文根据X油田油井的地质属性,提出了多套储量计算方案。利用灰色关联分析法确定合理的岩石物性参数,采用计算中涉及的影响因素的最优组合,比较不同程序的相关度。通过定量评估参数不确定性对储量计算的影响,本文解决了储量估计过程中的歧义。我们试图实现的一切目的是降低风险并为油藏勘探与开发的决策提供可靠的依据。

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