约束稀疏脉冲反演在煤层厚度预测中的应用

Application of Constrained Sparse Spike Inversion in Coal Thickness Prediction

为了获取高精度煤层厚度信息,掌握煤层的空间变化趋势,采用测井约束稀疏脉冲反演技术,基于高保真、高信噪比、高分辨率的地震数据,结合测井数据,反演出波阻抗数据体,分析煤层顶底板与围岩波阻抗差异,从而得到煤岩波阻抗门槛值,将波阻抗剖面转换成煤岩剖面并计算样点数,结合层速度即可得到精确的煤层厚度。研究结果表明,测井约束稀疏脉冲反演预测结果与已知钻孔能较好吻合,绝对误差在0.3 m之内,离钻孔较远的位置预测误差在5%以内。与钻孔内插法预测结果相比,该方法预测的准确程度有所提高,在实际生产中有着广阔的应用前景。

This study adopts the logging-constrained sparse pulse inversion technology to obtain high-precision coal thickness and understand the spatial change of the coal seam.Based on the high fidelity,high signal-to-noise ratio,and high-resolution seismic data and combined with the logging data,the wave impedance data volume was inverted to analyze the wave impedance difference between the roof and floor of coal seam and the surrounding rock and to obtain the wave impedance threshold.The wave impedance section was converted into coal rock section to calculate the number of sample points in order to obtain the accurate coal thickness with layer velocity.The prediction of the logging constrained sparse pulse inversion could match well with the known boreholes,with the absolute error less than 0.3 m and the location prediction error of the location less than 5%away from the boreholes.Compared with the borehole interpolation method,the prediction accuracy of this method increased with a broad application prospect in actual production.