地震非线性随机反演技术在煤层气储层厚度预测中的应用

对煤层气储层进行识别和预测是煤层气勘查工作的一个重要问题。常规的反演方法对储层厚度预测精度不高，不能很好满足实际需要。利用非线性随机反演方法，在充分利用地震资料的基础上，以钻井、测井等已知信息作为约束条件，同时，考虑地下介质的随机性，通过拾取目的层地震反射波振幅、频率、相位等信息，提高了储层预测的精度。该方法在沁水煤田榆社-武乡煤层气区块得到了良好的应用，与实际地质资料对比发现，预测精度与钻井揭露成果吻合率较高，预测的煤层气储层厚度的分布与地质规律吻合。 

Application of seismic nonlinear stochastic inversion technique in prediction of CBM reservoir thickness

The identification and prediction of coalbed methane reservoir are an important problems. The conventional inversion method is not very accurate in reservoir prediction and hard to satisfy the actual needs. The nonlinear stochastic inversion method is used to improve the accuracy of reservoir prediction by taking drilling and logging data as the constrained conditions and by extracting the information of amplitude, frequency and phase of the target stratum seismic wave. Compared with the actual geological data, the method has been well applied in Yushe-Wuxiang CMB block, Qinshui coalfield. The consistent rate of prediction precision and drilling-revealed results is high, and the predicted distribution of CMB reservoir thickness coincides with geological law.