摘要
粗面岩储层具有孔隙-裂缝类型复杂的特征,其流体的识别难度很大。根据模糊数学理论,以1口井的数据文件为1个论域,把识别粗面岩常用的密度、补偿中子、声波时差、自然伽马、深、浅电阻率曲线以及利用新技术资料计算的孔隙度曲线作为特征集,采用“择近原则”对模糊集油层、低产油层、水层、干层和待识别层进行模型归类,用模糊统计方法确定各特征集的隶属函数,建立了黄沙坨油田粗面岩储层流体识别方法。在测井资料处理中应用模糊识别方法,较好地解决了黄沙坨油田粗面岩复杂储层的流体识别问题,为类似储层流体识别研究提供了一种有效的方法。
Trachite reservoir is characterized by its complex pore-fracture system. Its log processing and interpretation is difficult for liquid identification. Based on the theory of fuzzy mathematics, we set up a study domain with log data from one well and set up a character collection with conventional DEN, CNL, AC, GR, RLId, RLLs curve and porosity curve calculated with new technology data. The method uses the “closeness principle” to classify fuzzy oil zone, low production oil zone, water zone, dry zone and to-be-determined zone. It then determines its subject function of every character collection and then builds a liquid identification method for the trachite reservoir in Huangshatuo Oilfield. The application of fuzzy recognition method in the data processing answers the question about liquid identification in the complex trachite reservoir in Huangshatuo. The method is also effective in fluid identification in other similar reservoirs.
出处
《测井技术》
CAS
CSCD
2006年第5期408-410,共3页
Well Logging Technology
关键词
储层流体识别
粗面岩
模糊理论
测井分析
黄沙坨油田
reservoir liquid recognition trachite
Fuzzy theory
log analysis
ttuangshatuo Oilfield