摘要
在文献 [2 ]基础上 ,针对七种解堵技术在大庆油田某采区 2 3口井上的试验结果 ,建立未确知测度识别模型 ,对七种解堵技术效果综合评价、排序、择优 ,以指导今后油田的解堵工作。未确知测度识别模型理论严谨、测度函数构造精细。根据评价空间分割的有序性 ,建立了置信度识别准则代替最大隶属度识别准则 ,减少误判。为使识别对象按优劣排序 ,建立了排序的评分准则。与模糊综合评判、灰色聚类分析等评价模型比较 ,具有分辨率高、识别合理的优点 ,是选优、识别、综合评价的实用模型。
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.
出处
《石油学报》
EI
CAS
CSCD
北大核心
2001年第1期89-94,共6页
Acta Petrolei Sinica
基金
国家自然科学基金资助项目! (69675 0 0 3 )
河北省自然科学基金资助项目! (6993 19)
关键词
解堵技术
未确定测度
综合评价
置信度
评分准则
大庆油田
油水井
油层堵塞
plug releasing technology
unascertained measure
synthetical evaluation
the incredible recognition
the rule of sc
