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作 者:吴琼[1] 林冬萍[1] 于春燕[1] 赵翠萍[1] 韩玲[1]
机构地区:[1]吉林油田分公司新立采油厂,吉林松原131109
出 处:《大庆石油地质与开发》2007年第2期112-115,共4页Petroleum Geology & Oilfield Development in Daqing
摘 要:裂缝的测井识别技术一直是油藏工作者研究的重点,目前应用一些新技术可以有效地识别解决,但是受资料数量限制,无法规模应用。在对大量现场测井、录井、生产动态资料、油藏监测资料分析研究基础上,重点对裂缝在电阻率测井、声波测井、地层倾角测井等的测井响应特征,进行了系统分析研究,通过选择反映裂缝特征敏感性的测井参数,应用图版法、判别分析法、神经网络法对裂缝进行定量识别研究,并以图版法为例进行说明。根据测井响应特征研究和图版交会法所确定的标准,对现场实际数据进行判别分析,确定了适合的测井识别方法。裂缝测井识别方法的研究,对今后储层改造方案和注水开发方案的制定具有重要指导意义。Fracture logging identification technique is an important technology which reservoir engineers focus on. At present, some new methods can be applied effectively, but they are still limited to widespread application because of the lack of data. Based on the research of some data, such as well logging data, production performance data and DST, this paper mainly analyzes log response characteristics of fractures in different methods as resistively logging, acoustic logging and diplog. Through the selection of logging parameters which reflect fracture characteristics, it analyzes and studies the fractures quantitatively by the methods of discriminate analysis, neural network and graph analysis. Graph analysis method is given as an example here. According to criterion established by the research on log response characteristics and graph analysis, this paper applies it in working site and determines a proper well logging diagnosis method. In conclusion, the study on this method will have important guiding significance for establishing scheme of water flooding and reservoir stimulation.
分 类 号:P631.8[天文地球—地质矿产勘探]
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