【摘要】 针对油气勘探中普遍使用的脆性因子的缺点,构建了两个新的相对脆性因子(弹性参数脆性因子和矿物脆性因子),以准确预测脆性泥页岩的空间展布。弹性参数脆性因子利用测井、地震得到的弹性参数(弹性模量和泊松比)评价储集层脆性,这些参数能够反映储集层原位物理性质;根据弹性参数脆性因子确定泥页岩中主要矿物的脆性系数,构建与每种矿物脆性系数及体积分数相关的矿物脆性因子。所构建的两个脆性因子有一定的理论优势并能够较合理地对测井、叠前地震资料反演结果进行解释。根据富有机质泥页岩岩石物理模型,建立矿物-弹性参数-脆性因子的岩石物理量版,对测井资料进行分析以得到优质脆性泥页岩的弹性参数特征,并将其应用于解释叠前地震资料反演结果,得到优质含气脆性泥页岩的空间分布范围,所预测的优质含气脆性泥页岩分布与测井资料对应较好。图12表2参18更多还原

【Abstract】 Aiming at the disadvantages of the brittleness index commonly used in oil/gas exploration, this article proposed two new brittleness indexes(elastic brittleness and mineral brittleness) in order to predict brittle shale distribution accurately: the former index, based on elastic parameters(Young’s modulus and Poisson’s ratio), characterizes the original physical properties of reservoirs, the other takes the volume content of minerals in the shale and brittle factor of each kind of mineral into consideration. The two proposed brittleness indexes have theoretical advantages and can explain the brittleness of reservoir rocks from logging and prestack seismic inversion reasonably. According to the rock physics model of organic-enriched shale, a rock physics template for mineral-elastic parameter-brittle factor was established to find out the elastic parameter features of high quality brittle shale from logging data. The spatial distribution of high-quality gas-bearing brittle shale was predicted utilizing pre-stacked seismic inversion results, and the predicted results match well with the well-logging data.更多还原