关键词: 解堵技术, 未确知测度, 综合评价, 置信度, 评分准则

Abstract: In view of the experimental results of seven plug-releasing technologies on 23 wells of certain recovery area in Daqing Oil Filed,this paper establishes an unascertained measure recognition model which synthetically evaluates, arranges and optimizes the effect of the seven plug-releasing technologies. The unascertained measure recognition model is strict in theory and the measure function is meticulously constructed. According to the sequence in dividing the evaluating space,the incredible recognition rule is established to replace the maximum subordinate recognition rule so as to reduce the misjudgment. In order to arrange the recognized object on good and bad order the score rule for sequence was established. Compared with such evaluation models as the fuzzy synthetic evaluation,gray classification analysis etc.,it has the advantages of high resolution and reasonable recognition. It is a practical model for optimization,recognition and synthetic evaluation. The author is mainly engaged in the research of unascertained information,esp.the methods dealing with the unascertained and mathematical model-set.

Key words: plug-releasing technology, unascertained measure, synthetical evaluation, the incredible recognition, the rule of score