基于生产实际的大孔道模糊识别模型及评价体系研究

Research on high-capacity channel fuzzy recognition model and evaluation system based on actual production situation

贾云林 王冰 刘月田 涂彬 吴清辉

JIA Yunlin WANG Bing LIU Yuetian TU Bin WU Qinghui

中海石油中国有限公司天津分公司，天津　300452 中国石油大学石油工程学院，北京　102249 中海油能源发展有限公司钻采工程研究院，天津　300452

Tianjin Branch of CNOOC, Tianjin 300452, China College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China CNOOC Energy Technology &

利用模糊综合评判法识别大孔道具有经济适用、简捷快速的优势，但是其指标的选取及评价体系的建立会直接影响识别结果的准确性。综合考虑油藏特点及资料的可获取程度，优选9种影响大孔道形成的静态指标与9种表征大孔道形成的动态指标，并充分利用油藏实际数据确定各指标的界限，建立了基于生产实际的大孔道模糊识别模型及其评价体系。通过对比大孔道模糊识别模型的识别结果与示踪剂解释结果，发现符合率大于80%，说明建立的方法体系可靠程度高、适用性好。

It’s economical and simple to use Fuzz Comprehensive Evaluation Method to recognize big channels, but the selected index and established evaluation system will directly affect the accuracy of results. According to the actual reservoir characteristics and the data availability, 9 static indexes that affect the form of big channels and 9 dynamic indexes that represent the form of big channels are selected as indexes of this fuzz model in this paper. And then selected indexes limits are determined based on the actual reservoir data. With the selected indexes and limits, fuzz pattern recognition model and evaluation system based on actual production situation are established. By comparing the results of fuzz recognition model and tracer interpretation, it figures out that the coincidence rate is up to 80%, and which mean the applicability and reliability of method established in this paper is very well.