基于自适应Batzle-Wang法的M油田储层流体特征分析

M. Rosid, Muhammad Iksan, Reza Wardhana, M. Haidar
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引用次数: 1

摘要

储层条件下流体的物性和物相与地表条件下不同。流体性质的值可能随着压力和温度的变化而变化。对流体的固有性质进行了分析,以获得与储层流体条件相对应的流体模型。本研究使用自适应Batzle-Wang模型,该模型结合了热力学关系、经验数据趋势和实验室的实验流体数据,以估计压力和温度对流体性质的影响。之所以采用自适应Batzle-Wang方法,是因为通常的Batzle-Wang方法不太适合描述在这里研究的油田条件下流体的物理性质。因此,需要对Batzle-Wang流体模型进行修改,以获得适应每个研究区域流体条件的流体模型。本文采用自适应Batzle-Wang模型对油、气、水三种流体进行建模。利用室内实验获得的气体比重(G)、气油比(GOR)、油FVF (Bo)、API值、矿化度(盐度)、流体密度等固有流体性质数据,加入油田储层压力和温度条件下的固有流体性质方程,将Batzle-Wang流体模型转换为自适应Batzle-Wang模型。得到了储层条件下流体的体积模量(K)、密度(ρ)和纵波速度(Vp)。自适应Batzle-Wang模型与室内实验流体数据的相关系数为0.95。该模型能够较好地计算出该油田储层条件下的流体性质。该模型还为每个研究区域的流体性质生成一个独特的值。因此,它可以适应所研究的油田储层的压力和温度条件。因此,Adaptive Batzle-Wang方法可以应用于有实验室流体数据的油田,特别是具有高储层压力和温度的油田。然后,流体建模的结果可用于岩石物理和流体替代模型分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of a Reservoir Fluid Based on an Analysis of Intrinsic Properties Using the Adaptive Batzle-Wang Method in Field “M”
The physical properties and phases of a fluid under reservoir conditions are different from those under surface conditions. The value of a fluid property may change as a result of changes in pressure and temperature. An analysis of the intrinsic properties of fluids is carried out to obtain a fluid model that corresponds to fluid conditions in a reservoir. This study uses the Adaptive Batzle-Wang model, which combines thermodynamic relationships, empirical data trends, and experimental fluid data from the laboratory to estimate the effects of pressure and temperature on fluid properties. The Adaptive Batzle-Wang method is used because the usual Batzle-Wang method is less suitable for describing the physical properties of a fluid under the conditions in the field studied here. The Batzle-Wang fluid model therefore needs to be modified to obtain a fluid model that adjusts to the fluid conditions in each study area. In this paper, the Adaptive Batzle-Wang model is used to model three types of fluid i.e. oil, gas, and water. By making use of data on the intrinsic fluid properties such as the specific gravity of the gases (G), the Gas-Oil Ratio (GOR), the Oil FVF (Bo), the API values, the Salinity, and the Fluid Density obtained from laboratory experiments, the Batzle-Wang fluid model is converted into the Adaptive Batzle-Wang model by adding equations for the intrinsic fluid properties under the pressure and temperature conditions in the field reservoir. The results obtained are the values of the bulk modulus (K), the density (ρ), and the P-wave velocity (Vp) of the fluid under reservoir conditions. The correlation coefficient of the Adaptive Batzle-Wang model with the fluid data from the laboratory experiments is 0.95. The model is well able to calculate the fluid properties corresponding to the conditions in this field reservoir. The model also generates a unique value for the fluid properties in each study area. So, it can adjust to the pressure and temperature conditions of the field reservoir under study. The Adaptive Batzle-Wang method can therefore be applied to fields for which laboratory fluid data is available, especially fields with a high reservoir pressure and temperature. The results of the fluid modeling can then be used for rock physics and Fluid Replacement Model analysis.
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