Rock Physics Modelling for Estimating the Quality of Reservoir Tight Sand in Bintuni Basin, West Papua, Indonesia

D. Ambarsari, S. Winardhi
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Abstract

Permeability is a key to determine the quality of reservoir. Reservoir quality can be dened as the ratio between permeability and porosity of a rock. Besides, permeability is not in uenced by porosity solely, there are otherfactors which aect the value of the permeability of a rock. One of them is aected by the pore structure, which includes turtuosity, surface area, and grain size. To determine how much these factors aect the permeability of a rock, it takes an elastic parameters that can be an indicator of the quality reservoir e.g pore space stiness and critical porosity.Primary data such as petrophysics, XRD data, and permeability are used as input data to determine the quality of reservoir. By using Zimmerman's equation and Nur's model, we will get the value of pore space stiness and critical porosity at each point. The combination of rock quality equation derived from Kozeny Carman's with elastic parameters as indicators produces qualitative rock quality identification. Results of this study is able to show that the pore space stiffness and critical porosity can represent turtuosity, surface area, and grain size of a rock which lead to the determination of rock quality. The method proposed in the present study demonstrated an excellence reservoir quality prediction based on the relation between petrophysical parameters with elastic parameters.
印尼西巴布亚Bintuni盆地储层致密砂质量的岩石物理建模
渗透率是决定储层质量的关键因素。储集层的质量可以用岩石的渗透率与孔隙度之比来表示。此外,渗透率不仅仅受孔隙度的影响,还有其他因素影响岩石的渗透率值。其中一种受孔隙结构的影响,孔隙结构包括孔隙度、表面积和颗粒大小。为了确定这些因素对岩石渗透率的影响程度,需要一个弹性参数,这些参数可以作为储层质量的指标,如孔隙空间密度和临界孔隙度。以岩石物理、XRD、渗透率等原始数据为输入数据,确定储层质量。利用Zimmerman方程和Nur模型,得到各点孔隙空间密度和临界孔隙度的值。将Kozeny Carman的岩石质量方程与弹性参数作为指标相结合,进行岩石质量定性识别。研究结果表明,孔隙空间刚度和临界孔隙度可以表征岩石的曲率、表面积和粒度,从而判断岩石的质量。该方法基于岩石物性参数与弹性参数之间的关系,具有较好的储层质量预测效果。
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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