应用地质统计学反演技术预测砂岩型铀矿

Sandstone-type U-ore Prediction through Geostatistics Inversion Technology

砂岩型铀矿主要分布在砂与泥岩互层中，地层的分布特点是横向上具有一定连续性，而纵向上相变快、厚度薄，给地震预测带来较大困难。针对内蒙古自治区测老庙盆地地层层数多，厚度薄的特点，采用地质统计学反演的方法预测有利于成铀岩层。通过比较地层岩性与物理属性的相关程度，发现电阻率对岩性具有较高的灵敏度。依据测井资料建立岩性概率模型，以电阻率剖面与岩性概率模型约束地质统计学反演，得到地层岩性剖面。地层岩性剖面表明：该区铀矿主要集中在深度100 m左右及180～260 m二个层段，其岩性结构表现为砂泥-细、粗砂岩-砂泥/泥。

The sandstone-type U-ore is mainly distributed in alternating sandstone and mudstone. Strata distribution pattern presents certain degree of continuity horizontally, while facies variable and thickness thinning vertically thus bring on more difficulties in seis？mic prospecting prediction. In allusion to multilayered and thin thickness strata in the Celaomiao Basin, Inner Mongolia, the geostatis？tics inversion method to predict favorable uranium-bearing strata is used. Through correlativity comparison between strata lithology and physical attribute have found rather high sensitivity of resistivity on lithology. Based on logging data, the lithologic probability mod？el has been modeled, through resistivity profile and the model constrained geostatistics inversion to get lithologic sections. The sections have shown that the U-ore in the area is concentrated in depths about 100m and 180~260m two sectors;the lithologic pattern is sandy mudstone-fine, course sandstone-sandy mudstone and mudstone.