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储层孔喉分布是储层评价的重要研究内容。储层孔隙度和渗透率参数是储层微观孔隙结构特征的宏观综合表现。本文通过对来自我国吐哈、辽河、胜利、鄂尔多斯、四川和加拿大等地区油气田的 6 5 0个砂岩和碳酸盐岩样品压汞测试资料及物性数据的分析研究 ,成功发现了对于孔隙性岩石 (无论是砂岩还是碳酸盐岩 ) ,岩石孔隙度和渗透率 (特别是渗透率 )与岩样不同孔喉大小的体积分布有密切的相关性 ,并首次建立了储层孔喉体积分布反演预测模型。该模型解决了在一个地区部分层段、部分井因缺乏压汞测试样品或岩芯资料给储层孔隙结构研究带来的困难 ,并有利于正确评价工区储层孔隙结构的非均质性
Reservoir pore throat distribution is an important research content of reservoir evaluation. Reservoir porosity and permeability parameters are macroscopic synthetic features of microscopic pore structure of reservoir. Based on the analysis of the mercury intrusion test data and physical properties data of 650 sandstone and carbonate samples from the oil fields of Tuha, Liaohe, Shengli, Ordos, Sichuan and Canada in China, this paper successfully found that for the porous rock (Whether sandstone or carbonate), the rock porosity and permeability (especially the permeability) are closely related to the volume distribution of different pore throats in rock samples. For the first time, Play a prediction model. The model solves the difficulties in studying the pore structure of some reservoirs due to the lack of mercury injection test samples or core data in partial intervals of a region and is helpful to correctly evaluate the heterogeneity of pore structure in the reservoir area