四川盆地丁山区块页岩气储层关键参数测井评价方法

四川盆地丁山区块是一个页岩气千亿方级增储阵地，但与其他页岩气区块相比，丁山区块储层的测井曲线响应与储层参数相关性较低，且由于地层压力变化较大，易造成井眼崩落，其他区块适用的以密度曲线为主导的参数评价系统在该区块受到了挑战。对丁山区块重点井测井响应特征与岩心实验数据的关系开展了研究，寻求其相关性，结合经验统计法以及视骨架密度法对储层参数加以评价，建立了有机碳含量、孔隙度、矿物含量以及含水饱和度评价模型。结果表明，能谱铀含量曲线与储层参数相关性强，且并不受到井眼崩落的影响，经与岩心实验参数对比可知，以能谱铀含量曲线为主导建立的模型计算出来的参数结果相对误差控制在8%以内，精度较高，明显优于以密度曲线为主导的模型，满足储层评价的需要，符合储量计算的要求，也为丁山区块页岩气储层的勘探开发提供了支撑。

Well logging evaluation methods of key parameters for shale gas reservoir in Dingshan block,Sichuan Basin

Dingshan block is another shale gas source of 100 billion square meters. However, compared with other shale gas blocks, the logging response of the reservoir in Dingshan block is less correlated with the reservoir parameters, and because the formation pressure changes greatly, it is easy to cause the wellbore to collapse, resulting in that the parameter evaluation system dominated by density curve applied in other bolcks is challenged in this block. This paper analyzed the relationship between log response characteristics and core experimental data of key wells in Dingshan block to determine their correlation, and established evaluation models of organic carbon content, porosity, minerals content and water saturation by combining the empirical statistics and apparent skeletal density method. Compared with core experimental parameters, the relative error of the parameters calculated by the model based on uranium content curve is less than 8%, with high precision. So the model is significantly better than the model dominated by density curve, it can meet the needs of actual reservoir evaluation and the calculation requirements of reserves, and also provide corresponding support for the exploration and development of shale gas reservoir in Dingshan block.