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Equation of State of a Complex Fluid Column and Prediction of Contacts in Orocual Field, Venezuela

机译:委内瑞拉口流场中复杂流体柱的状态方程和接触预测

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摘要

The Orocual field is located in the northern Monagas state of Venezuela and is owned and operated by Petroleos de Venezuela S.A. (PDVSA), the national oil company of Venezuela. Reservoir compartmentalization adds complexity to the field, and structurally equivalent, noncommunicating fluid regions exist. An equation of state (EOS) is needed for reservoir modeling, requiring a review of available data and area fluid distributions. A seven-pseudocomponent EOS with a single characterization defining the compositional gradient of the hydrocarbon column from gas to black oil is defined. The method demonstrates that composition relative to depth can be predicted in those parts of the reservoir in which samples do not exist but in which production and test data must be matched, and thus where a gas-to-oil transition occurs. This paper demonstrates a technique to identify representative samples for use in developing an EOS and for initializing fluids in place. A method is presented to adjust the component composition vs. depth, providing consistent vertical composition distribution and compositional-model stability. This method meets the objectives of matching field production observations. A method is presented to quickly initialize a full-field model using a 1D compositional simulator to give full-field-model stability using the local high-temperature gradient. Results of compositional simulation show a single EOS, and vertical compositional and thermal variation reproduce the complex character of the field hydrocarbon column, matching field-measured observations of saturation pressure (p_s), gas/oil ratio (GOR), and fluid densities.
机译:Orocual油田位于委内瑞拉的莫纳加斯州北部,由委内瑞拉国家石油公司Petroleos de Venezuela S.A.(PDVSA)拥有和经营。储层的分隔增加了油田的复杂性,并且存在结构上等效的非连通流体区域。储层建模需要状态方程(EOS),需要查看可用数据和区域流体分布。定义了具有单一特征的七假组分EOS,该特征定义了烃柱从天然气到黑油的组成梯度。该方法表明,在储层中不存在样品但必须匹配生产和测试数据,从而发生气油过渡的那些部分中,可以预测相对于深度的组成。本文演示了一种技术,该技术可识别用于开发EOS和初始化液体的代表性样品。提出了一种方法来调整组分的成分与深度的关系,以提供一致的垂直成分分布和成分模型稳定性。该方法符合匹配现场生产观测值的目标。提出了一种使用一维合成模拟器快速初始化全场模型的方法,以使用局部高温梯度提供全场模型稳定性。组成模拟的结果显示,单个EOS,垂直组成和热变化再现了现场烃柱的复杂特征,匹配了饱和压力(p_s),气/油比(GOR)和流体密度的现场测量观测值。

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