地质统计学反演技术在薄煤层厚度预测中的应用

Application of Geostatistical Inversion Technique in Thin Coal Seam Thickness Prediction

煤田地震勘探中,地震数据不仅仅用于构造解释,而且还可以利用反演的方法对煤层的厚度进行预测,但传统的基于地震道的确定性反演方法难以对厚度及层间距变化均较大的薄煤层进行准确预测。在地震数据反演的基础上,利用叠后地质统计学反演方法,引入煤层地层厚度比、变差函数等统计学参数,对薄煤层厚度进行预测。实际应用表明,利用地质统计学反演方法预测的煤层厚度与钻孔吻合较好且井间煤层厚度变化合理,地质统计学反演技术是解决薄煤层厚度预测的有效手段。

In coalfield seismic exploration,seismic data is not only used for tectonic interpretation,but also can be used to predict the thickness of coal seam by inversion method.However,the traditional deterministic inversion method based on seismic trace is difficult to accurately predict the thin coal seam with large thickness and layer spacing variation.On the basis of seismic data inversion,using post-stack inversion method of geostatistics,the introduction of coal strata thickness ratio,statistical parameters such as variational function,forecast thin coal seam thickness.The actual application shows that use of geostatistics inversion method to predict coal seam thickness are in good agreement with drilling and cross-hole coal seam thickness change is reasonable,geostatistical inversion technique is an effective method to predict the thickness of thin coal seam.