Sedimentary Rock Compressibility Related to Porosity Under Hydrostatic Loading: New Approach with Uniaxial Corrections

Ricardo de Souza Fasolo, R. Misságia, M. Ceia
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Abstract

Rock compressibility has great influence in the original oil in place estimation, history matching, and production forecasting. The majority of the reservoir engineers consider the compressibility as a constant throughout the life of a field, but it is well known that rock compressibility is pressure and porosity dependent. During the life of an oil field, the pore pressure decreases with oil production, which increases the net pressure over the reservoir which induces changes in porosity and in compressibility. Neglect compressibility variation may induce several errors during reservoir simulation. To reduce errors, and to provide a simple and easy procedure for calculation of rock compressibility, this paper presents the correlation between rock compressibility and porosity under hydrostatic confining test, as well as the corrections made to translate unrealistic hydrostatic data into more representative uniaxial data. The measurements were developed in 5 sandstones and 5 carbonate rocks with a diversified range in porosity and rock strength to obtain results more capable to describe any other set of data. The results of the corrections were then plotted against porosity and a new general equation was derived from the plots through data fitting. The new equation proved to be very representative, but it faced an issue related to the inverse problem. To fix the problem, the Poisson ration was applied to the general equations to capture the mechanical characteristics of the rocks. The results showed that rock compressibility has a direct relation to porosity. Further, the conversion factors displayed high efficiency in the translation from hydrostatic data to uniaxial data, and hydrostatic compressibility may increase the errors during estimation of the volume of original oil in place by a factor of 1E+6 STB. Also, the error in the volume of OOIP calculated using CpA and CpAc varies from 0,22% to 0,05%, and the difference between CpA (converted) and CpAc (estimated) is around ±1,8%. Therefore, this work aims to correct the sedimentary rock compressibility obtained under hydrostatic compressional tests and establish a new relationship between compressibility and porosity. These procedures focus on the reduction of laboratory analysis, increase the quality of reservoir forecasting and reservoir monitoring.
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静压作用下与孔隙度相关的沉积岩压缩性:单轴修正的新方法
岩石可压缩性对原油位估计、历史拟合和产量预测都有重要影响。大多数油藏工程师认为压缩性在油田的整个生命周期中都是一个常数,但众所周知,岩石的压缩性与压力和孔隙度有关。在油田的生命周期中,孔隙压力随着产油量的增加而降低,这增加了储层的净压力,从而引起孔隙度和压缩性的变化。在油藏模拟过程中,忽略压缩性变化可能会导致一些误差。为了减少误差,为岩石可压缩性的计算提供一种简单易行的方法,本文介绍了静压围压试验下岩石可压缩性与孔隙度的相关性,以及将不现实的静压数据转化为更有代表性的单轴数据所做的修正。在5种砂岩和5种碳酸盐岩中进行了测量,其孔隙度和岩石强度范围不同,以获得更能描述任何其他数据集的结果。然后将校正结果与孔隙度进行对比,并通过数据拟合得到一个新的通用方程。新的方程被证明是很有代表性的,但它面临着一个与逆问题相关的问题。为了解决这个问题,将泊松比应用到一般方程中,以捕捉岩石的力学特性。结果表明,岩石压缩性与孔隙度有直接关系。此外,转换系数在流体静力数据到单轴数据的转换中显示出很高的效率,流体静力压缩系数可能会使原始油体积估算的误差增加1E+6 STB。此外,使用CpA和CpAc计算的OOIP体积的误差从0.22%到0.05%不等,CpA(转换)和CpAc(估计)之间的差异约为±1.8%。因此,本工作旨在对静压试验得到的沉积岩压缩系数进行校正,建立压缩系数与孔隙度的新关系。这些程序侧重于减少实验室分析,提高储层预测和储层监测的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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