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岩石渗透率是评价油藏的最主要参数之一,而且在许多方面,如油藏模拟、确定岩石类型等,也使用岩石渗透率。目前有许多方法(如试井、MDT、岩心分析法等)可以用来测定和预测地层岩石渗透率。对于粒间孔隙类型的岩层(不适用于非粒间孔隙岩石,如含有溶缝、溶洞、裂缝),岩石渗透率指标随着孔隙度的增大而有明显的增大;然而,它也非常依赖于岩石颗粒的表面积,从另一个角度看,束缚水饱和度又反映了岩石颗粒的表面积。因此,孔隙度与束缚水饱和度函数有助于对岩石绝对渗透率进行预测。在研究中,真实含水饱和度Sw被应用于这个函数中,因此,所获得的渗透率实际上是有效渗透率而非绝对渗透率。通过对阿布扎比近海油田进行油层物理法评估,可以注意到,应用包括含水饱和度、孔隙度和其他因子的函数,可以使裸眼井测井曲线估算的渗透率与实验室岩心样品测得的渗透率达到很好的拟合。通过对试井结果的对比和对整个油田已有数据的全面对比,函数特性得到了进一步的核实。本文主要目的是研究裸眼井测井数据解释与岩心样品渗透率测定之间的相互关系,并推导出一个经验公式,据此可以用测井数据来预测岩石渗透率。
Rock permeability is one of the most important parameters for evaluating reservoirs, and rock permeability is also used in many aspects such as reservoir simulation, rock type determination and the like. At present, many methods (such as well testing, MDT, core analysis, etc.) can be used to determine and predict formation permeability. For intergranular pore type rock formations (not suitable for non-intergranular pore rocks, such as solution fractures, caves, fractures), the rock permeability index increases significantly with increasing porosity; however, it is also very high Depending on the surface area of the rock particles, from another perspective, the irreducible water saturation reflects the surface area of the rock particles. Therefore, the porosity and irreducible water saturation function can help predict the absolute rock permeability. In the study, the true water saturation, Sw, was applied to this function, so the permeability obtained was actually effective permeability rather than absolute permeability. By assessing the physical properties of the reservoirs offshore Abu Dhabi, it is noted that using functions that include water saturation, porosity and other factors allows the permeability estimated by openhole logs to be comparable to that measured in laboratory core samples Permeability reached a good fit. Through the comparison of the well test results and the overall comparison of the existing data of the whole field, the function characteristics have been further verified. The main purpose of this paper is to study the correlation between interpretation of borehole log data and core sample permeability and to derive an empirical formula from which log data can be used to predict rock permeability.