中东×区H油田发育孔隙型生物碎屑灰岩,储集空间复杂,发育有粒间孔、生物体腔孔等原生孔隙和溶蚀孔、铸模孔等次生孔隙,次生孔隙发育情况与储层产能、渗流性能等密切相关。结合岩心及测井资料建立储集空间类型识别方法,采用高斯函数拟合成像测井孔隙度谱,得到原生和次生孔隙的截止值及占比;分析三孔隙度测井和核磁共振测井响应与原生和次生孔隙占比的关系,建立了次生孔隙占比的测井计算模型。研究表明,结合储集空间类型确定成像测井孔隙度谱原生和次生孔隙截止值及占比,用于常规测井刻度,建立常规测井计算次生孔隙占比方法,2种方法计算结果相近,表明所建方法表征生物碎屑灰岩储集空间的有效性,为储集空间的定量表征提供了新思路。
The main reservoir of H oilfield in the Middle East area × district is bioclastic limestone, whose reservoir space types are complex. There are primary pores such as intergranular pores and intrafossil pores accompanied by secondary pores such as dissolution pores and mouldic pores. The secondary pores are strongly linked to reservoir capacity and permeability. We confirmed the type of reservoir space based on thin sections and logging analysis. Then Gaussian fitting algorithm is used to dispose image logging porosity spectral and the cutoff value and proportion of primary and secondary porosity are obtained. Furthermore, we analyze the relationship of proportion and acoustic, density, neutron and NMR, set up a calculation model of secondary pores. Research results show that, with classifying reservoir space and defining the cutoff and proportion of primary and secondary pores, which is used to scaiing conventional logging responses, we can set up a method to calculate secondary pores proportion based on conventional logging. Results of both method are similar, which indicates that the method to calculate secondary pores proportion is effectively in bioclastic limestone, adding new thought and method to quantitative calculation of reservoir space.