【摘要】 鄂尔多斯苏里格气田苏5区块的煤层和储层同具有低伽马和低纵波速度的特征,常规的基于波阻抗的煤层识别方法难以有效地将二者区分。通过研究发现,对于本区块而言,煤层不但不是主力烃源岩,还对本区块山2段的储层研究形成阻碍,因此需要提出针对本区块的更为行之有效的方法进行煤层识别,即一种新的煤层识别技术:结合已有方法—叠前弹性参数反演方法、叠后参数反演方法及流体因子构建方法,构建一种适用于研究区的新型煤层识别因子,然后采用该煤层识别因子和地震资料反演所得叠后参数进行研究区目的层的煤层预测。实际资料的计算结果表明,该方法技术预测的煤层与实际测井解释的煤层完全符合,有助于研究区的储层预测与烃类识别,具有重要的实际应用价值。更多还原

【Abstract】 The coal seam and reservoir of block Su-5 in Sulige gas field in the Ordos has low gamma and low velocity characteristics. The conventional coal seam identification method based on wave impedance is difficult to distinguish. For this block,the study shows that the coal seam hinders the study of reservoir,instead of being the main hydrocarbon source rock. Therefore,a more effective method needs to be put forward to identify the coal seam for this block. The new coal seam identification technology which combining existing methods the pre-stack elastic parameter inversion method,post-stack parameter inversion and fluid factor construction method,constructs a new coal seam recognition factor,and then with this coal seam recognition factor and post-stack parameter inversed by seismic data predicts coal seam of target layer in the study area. The result calculated by actual data shows that the prediction of coal seam and the actual well logging interpretation are fully consistent,This technology is helpful to the study of reservoir prediction and hydrocarbon identification,which has important practical application value.更多还原