【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
【机 构】
：
清华大学自动化系!北京100084,清华大学自动化系!北京100084,清华大学自动化系!北京100084,清华大学自动化系!北京100084
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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 the practice of oilfield development and production, it is necessary to study the classification of the inter-well connectivity to characterize the development status and inter-connectivity of the underground oil layers, so as to guide water injection, perforation and petroleum extraction in the development of oilfields. According to the expert classification method of inter-well connectivity, a knowledge-based automatic cross-well correlation system was developed. The system can compare wells, determine four types of connectivity, and use wavelet transform to split the thick oil layer, complemented by a complete human-computer interaction and connectivity profile drawing output. Tests show that the system has a stable contrast accuracy, good practicality.
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