朝阳沟油田扶余油层组深度域地质统计学反演

Depth domain geostatistical inversion of Fuyu Group in Chaoyanggou Oilfield

 陈旭辉

 CHEN Xuhui

 中国石油大庆油田有限责任公司勘探开发研究院，黑龙江 大庆 163712

 Research Institute of Exploration and Development, Daqing Oilfield Company Ltd., PetroChina, Daqing 163712, China

 常规时间域地质统计学反演虽有着较高的纵向分辨能力，但与构造匹配上仍存在较大问题。由于时间域模型所带来的误差，其成果应用到实际井位部署当中仍存在一定困难。针对低孔、低渗薄互层碎屑砂岩储层，采用深度域地质统计学反演方法，把构造特征与反演成果有机地结合在一起，并成功地预测出小层砂岩的顶底界面与砂体横向边界。砂体的纵向识别能力与时间域反演成果相当，但对砂体的空间展布预测精度要高于时间域反演。借助基于深度域砂岩概率模型的反演成果，为朝阳沟油田水平井方案实施提供了坚实可靠的支撑，并取得了较好的实钻效果。

 The conventional geostatistical inversion with time domain has a relatively high vertical resolution in reservoir prediction. But there exists a very big problem in the combination with geological structure, which results in a relatively big error and leads to the difficulties in the planning of well locations. As to the characteristics of low porosity and low permeability in a thin interbeded sandstone reservoir, the geostatistical inversion with depth domain is adopted in this paper. The characteristics of geological structure and inversion results are then commingled together, and the top and bottom interface of the layer and the lateral boundary characteristics of the sand body are predicted successfully. The vertical recognition ability is almost the same with the model as time domain and the accuracy in the predicting of the space distribution of sand body is higher. The probabilistic model of sand body based on the method promoted in this paper provides a reliable support for the horizontal well planning, and a very good drilling result has been achieved.

10.6056/dkyqt201804008