塔里木盆地哈拉哈塘地区具有良好油源地质条件,该地区二叠系火成岩普遍发育,复杂的岩性和剧烈的厚度变化影响下覆油气资源的勘探.为识别该地区英安岩和玄武岩这2种主要分布的火成岩,分析不同岩性的特征响应,选取有效岩性识别参数,进行多参数反演；利用基于D—S证据理论的信息融合技术对多参数反演结果进行融合,挖掘参数反演数据体的优势信息,得到岩性识别的概率体,有效避免传统波阻抗反演结果的局限性.该方法可预测主要火成岩类型在空间上的展布和厚度变化,提高岩性解释精度,在识别火成岩岩性方面取得较好效果.%Halahatang area located in Tarim Basin has a good petroleum geological conditions. There developed Permian igneous rocks with variation of lithology, which affected the exploration of oil resources. In order to identify the basalt and dacite, the feature of logging response of igneous rocks were analyzed. Some parameters which can distinguish different igneous rocks were selected for Multi-parameter inversion. A new probability-data volume was generated by D~ S evidence theory information fusion method, taking advantage of useful information of Multi-parameter inversion data volume. The limitations of traditional P —impedance inversion were avoided efficiently. In this paper, the method can be used in predicting thickness variation and distribution of the two igneous rocks. The accuracy of identification in igneous rocks can be improved to some degree.
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