Quantitative Characterization of Petrological and Pore Throat Parameters of Conventional and Unconventional Sandstone and Carbonate Reservoirs Using Image Modelling

Bo Jiu, Wenhui Huang, Ruilin Hao, Yuan Li, Nana Mu, W. Ao, Kun Yuan
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Abstract

Pore structure plays an important role in the exploration and development of both conventional and unconventional reservoirs. An algorithm using MATLAB is established to characterize the particle sizes, porosity, microscale and nanoscale pore throat radius, and cement contents in conventional and unconventional reservoirs. Samples from Carboniferous tight sandstone reservoirs and Ordovician carbonate reservoirs in the southeastern Ordos Basin are selected to explore the applicability of this algorithm. The quantitative analysis data obtained from images with MATLAB are compared high-pressure mercury intrusion and X-ray diffraction experimental results, and corresponding error curve and fitting curve equations are established. These results show that the correlation coefficients (R2) of the porosity, particle size and calcite cement content of the sandstone reservoirs were 0.9216, 0.7105 and 0.8430, respectively. The calculated porosities of the three main carbonate reservoir types, namely, carbonate reservoirs with intergranular pores, dissolved pores and bioclastic pores, fit the measured data well, with R2 values of 0.9515, 0.9285, and 0.9579. This quantitative analysis workflow provides a new characterization method for reservoir pore throat parameters using a single thin section image and MATLAB and is applicable to not only conventional reservoirs but also tight sandstone and carbonate reservoirs with intergranular and dissolution pores.
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基于图像建模的常规与非常规砂岩及碳酸盐岩储层岩石学及孔喉参数定量表征
孔隙结构在常规油气藏和非常规油气藏的勘探开发中都起着重要作用。建立了基于MATLAB的常规和非常规储层颗粒尺寸、孔隙度、微孔喉半径和纳米孔喉半径以及水泥含量表征算法。选取鄂尔多斯盆地东南部石炭系致密砂岩储层和奥陶系碳酸盐岩储层样品,探讨该算法的适用性。利用MATLAB对图像获得的定量分析数据与x射线衍射实验结果进行了对比,建立了相应的误差曲线和拟合曲线方程。结果表明:砂岩储层孔隙度、粒径和方解石胶结物含量的相关系数R2分别为0.9216、0.7105和0.8430;计算结果表明,含粒间孔、溶蚀孔和生物碎屑孔3种主要碳酸盐岩储层孔隙度与实测数据拟合较好,R2分别为0.9515、0.9285和0.9579。该定量分析流程为利用单张薄片图像和MATLAB进行储层孔喉参数表征提供了一种新的方法,不仅适用于常规储层,也适用于具有粒间孔隙和溶蚀孔隙的致密砂岩和碳酸盐岩储层。
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