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根据川东石炭系储层的地质特点，将川东石炭系储层按储集性能划分为石灰岩、孔隙发育白云岩、孔隙不发育白云岩三部分。经勘探实践证实，可作为储层的主要是孔隙度高、裂缝发育的白云岩，因此识别石炭系储层中孔隙高、裂缝发育的层段就成为储层评价的一个重要方面。由于测井资料在纵向上可以较准确地反映岩石岩性及物性的差异，故我们综合利用地质、测井资料获取了川东石炭系不同岩性或同一岩性不同物性的六个常规测井系列的测井特征值，并对所获得的测井特征值进行反演，证实了该测井特征值是成立的。应用此测井特征值可以将石炭系储层中的孔隙发育白云岩、孔隙不发育白云岩和石灰岩区分开，并且可以判别岩石孔隙中的含流体情况。同时，建立了孔隙度与密度、声波时差的相关性模型，根据它们之间的相关性，可以确定云岩孔隙发育中的孔隙度值。将文中所述测井特征值应用到地震处理中，可以预测石炭系的岩性及物性变化，进而可以确定岩性圈闭
According to the geologic characteristics of Chuandong Carboniferous reservoirs, the strata of Chuandong Carboniferous are divided into limestone according to reservoir properties, dolomite with porosity development and dolomite with undeveloped porosity. The exploration proved that the reservoirs are mainly dolostones with high porosity and fractures. Therefore, identifying the intervals with high porosity and fractures in Carboniferous reservoirs has become an important aspect of reservoir evaluation. Because the logging data can accurately reflect the differences in lithology and physical properties in the vertical direction, we use the geology and logging data to obtain six conventional logging data of different lithologies of the Carboniferous in East Sichuan Province or different lithologies of the same lithology Series of logging eigenvalues and inverting the obtained logging eigenvalues to verify that the logging eigenvalues are valid. By using this logging eigenvalue, dolomite can be developed in pores of Carboniferous reservoirs, dolomite and limestone can be distinguished from undeveloped pores, and the fluid-containing conditions in rock pores can be distinguished. At the same time, the correlation models of porosity, density and time lag were established. According to the correlation between them, the porosity value in the pore development of dolomite can be determined. Applying the logging eigenvalues described in this paper to seismic processing can predict changes in lithology and physical properties of the Carboniferous so that lithologic traps