Optimal Design of Drilling Fluid Formula Based on CBR

摘要：

Case-Based Reasoning (CBR) is a most promising direction in artificial intelligence field. To bring actual case reasoning tech into drilling fluid formula optimal design, and to join the actual course, it is the first time to adopt a mixed searching strategy that involves knowledge guided method, nearest neighbor method and improved range similarity match method. To be exact, first to find the similar drilling fluid type, then to modify its performance parameter value till maximum optimized and rematch, finally get the most optimal drilling fluid formula. Such design method can largely improve the efficiency and accuracy of drilling fluid formula.

关键词： drilling fluid case-based reasoning case base similarity range similarity

作者: Zhang Minglu Li Man Liang Dachuan Wang Bing

作者单位: School of Computer Science Southwest Petroleum University Chengdu, China School of Petroleum Engineering Southwest Petroleum University Chengdu, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 678-681

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）