受基底影响,永陇矿区2号可采煤层厚度变化范围较大,为0.65~26.79 m.为实现高精度煤层厚度预测,选取该区对地层岩性分辨率较高的自然伽马作为预测属性,并将计算的岩性概率模型作为三维数据约束进行地质统计学反演.通过地质统计学反演得到的岩性数据,区分了煤层和泥岩,成功的预测了煤层的厚度.根据地质统计学反演预测的煤层厚度,可知该区西南部煤层较薄,只有0~5 m;东北部煤层较厚,一般超过20 m.对比地质统计学反演预测的煤层厚度与实际钻探揭露的煤层厚度,可以看出地质统计学反演预测煤层厚度更接近于钻探揭露的煤层厚度,平均准确率达80%以上,其精度高于传统的确定性反演.%Because of impact from basement, the thickness of mineable coal No.2 in the Yonglong mining area is variable with thickness from 0.65m to 26.79m. In order to achieve high accuracy coal thickness prediction, the strata lithological resolution higher gamma-ray has been selected as prediction attribute. And using computation lithological probability model as 3D data constraint carried out the geostatistical inversion. Through geostatistical inversion obtained lithological data can distinguish coal and mudstone, thus predicted coal thickness successfully. Based on geostatistical inversion predicted coal thicknesses have found that coal seams in the southwestern part of the area are thinner, only 0~5 m;northeastern part thicker, generally over 20m. Through comparison of coal thicknesses from geostatistical inversion and actual drilling revealed, can find out that the thickness from geostatistical inversion is close to drilling re-vealed with average accuracy above 80%, thus higher than traditional deterministic inversion.
展开▼
