摘要
文章以中原油田油井为研究对象,应用模糊识别理论的基本原理,采用测井数据中自然伽玛、深浅电阻率比值等7个不同权重的基本储层参数,建立样区内油层和水层模型,通过对该区域内4口井8个层段的重新解释以及试油验证,证实了模糊识别模型的有效性,指出了建立模糊识别模型必须充分考虑样本数据的特征代表性与合理选定阈定值的必要性。
In this paper, Zhongyuan Oilfield wells as the research object, the application of the basic principles of fuzzy recognition theory, the use of natural gamma logging data, the depth of the resistivity ratio seven different weight basic reservoir parameters, the establishment of the oil and water in the sample region layer model, through the re-interpretation of the four wells in the region of 8 layers, as well as the verification of oil testing confirmed the effectiveness of the fuzzy recognition model, noting that create a fuzzy recognition model must fully consider the characteristics of the sample data representation and reasonable election given threshold setpoint necessity.
出处
《煤炭技术》
CAS
北大核心
2013年第12期133-135,共3页
Coal Technology
关键词
模糊识别
隶属函数
中原油田
油层
水层
油水同层
fuzzy identification
membership function
zhongyuan oilfield
reservoir, water layer
oil and water in the same laye
