摘要
准确识别储集层岩性是海拉尔-塔木察格盆地塔南油田铜钵庙组储集层测井评价面临的主要问题。由于目标区块岩性十分复杂,常规的岩性测井识别方法不能满足该区块岩性准确识别的要求。以测井相分析技术为基础,首先选取该区一口岩心资料齐全和测井质量好的井,对常规测井曲线进行Z值标准化;其次利用主成分分析,对选取的测井参数进行降维处理,提取了四个主成分;然后,利用K均值聚类划定了9类测井相;并通过测井资料划定的测井相与岩心资料对比,建立了测井相-岩性数据库;最后利用Fisher判别法建立了目标区块的岩性判别模型。将建立的判别模型对塔南油田铜钵庙组实际井资料进行了处理,结果显示:预测的岩性与岩心描述的岩性基本一致,验证了测井相分析技术在复杂岩性识别中的可靠性。
It＇s a challenge for log evaluation in identifying the reservoir lithology of Tongbomiao formation in Tanan Oilfield,Hailar-Tamtsag Basin.Since the lithology of target block is complex,the conventional methods of lithology identification don＇ t meet the requirements.Based on logging facies analysis technique,first,the well with core data integrity and good logging quality is selected,conventional logging curves are standardized; secondly,four principal components are extracted by using the principal component analysis to reduce the dimension of the parameter selection;then,the nine kinds of logging facies are delineated by using K means clustering,and though the comparison of logging facies and core data,the logging facies-lithologic database is established; finally,the lithology identification model is established by using Fisher method.The model is used to deal with well data in Tongbomiao formation,Tanan oilfield.The results show：the predicting lithology by logging facies technology and the lithology of core description are basically the same.It is verified that the logging facies technology is reliable in complex lithology identification of reservoir.
出处
《科学技术与工程》
北大核心
2014年第29期157-161,共5页
Science Technology and Engineering
基金
湖北省自然科学基金项目(2013CFB396)
国家科技重大专项子课题(2011ZX05057-001-002)资助
关键词
测井相分析
主成分分析
K均值聚类
FISHER判别
复杂岩性
logging facies analysis
principal component analysis
K means clustering
fisher discriminant
complex lithology
