摘要
在油田开发生产实践中，需要研究井间油层连通关系的分类来定性描绘地下油层的发育状况和相互间连通性，从而在油田的开发中指导注水、射孔和提取石油。根据专家对于井间油层连通关系分类方法，研制了一个基于知识的井间油层连通自动对比系统。该系统能够对井间油层进行对比，判定四类连通类型，并利用小波变换进行厚油层的劈分处理，同时辅以完整的人机交互功能和连通剖面图的绘制输出。试验表明，该系统具有稳定的对比准确度，有较好的实用性。
In practice of oil field developing, it needs to research the classification of connectivity or oil layers in order to describe the growth condition of oil layer and the connectivity of each other. It instructs the affusion, shooting hole and extracting oil. This paper describes an interwell oil layers' connectivity automatic correlation system based on expert knowledge. The system is composed of oil layer's sediment type recognition, interwell oil layers' connectivity correlation which is classified with four types, drawing and plotting of section plane graph, and also perfect man machine interface based on Motif. Additionally wavelet transform is used to handle the problem of large oil layer splitting. The experiment results show that the system has steady correlation precision and well practicality.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第7期89-92,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家"九五"科技攻关项目
