优化型灰色关联分析方法在储层含油气性判别中的应用  

Application of Optimized Grey Correlation Analysis in Reservoir Oil and Gas Potential Identification

作　　者：苏凯 任健 朱勇超 SU Kai;REN Jian;ZHU Yongchao(Tianjin Branch,CNOOC(China)Ltd.,Tianjin 300450,China)

机构地区：[1]中海石油(中国)天津分公司渤海石油研究院,天津300459

出　　处：《海洋石油》2024年第4期66-70,共5页Offshore Oil

摘　　要：录井信息是油气勘探实践中储层含油气性分析的重要依据,传统的图版分析法录井信息利用程度不高,且不同的研究区往往不具备可对比性。为了更加合理利用多种类录井信息,实现钻井过程中储层含油气性的定量判别,该文引入灰色关联分析对录井信息进行了系统研究。考虑到灰色关联分析无量纲化过程中去除的数据大小属性是录井中至关重要的信息,针对单一依据曲线相似性来衡量关联度大小的局限性,引入模大小关联度,建立了更完善的参数序列空间相似性的评价体系,提出了针对录井信息的有效评价指标。实例分析表明,以蓬莱A构造为靶区,利用优选的录井参数的优化型灰色关联分析,能够实现快速准确的储层含油气性定量评价。Mud logging information is important basis of oil and gas identification during petroleum exploration practice.At present,there are limitations in the traditional cross charting analysis method,and this method has low comparability in different areas.In order to make rational use of various mud logging data and achieve the quantitative identification of oil and gas potential in reservoirs during drilling process,grey correlation analysis is introduced to systematically analyse the mud logging data.Considering that the size of numerical value in the process of dimensionless grey correlation analysis is crucial information in logging,this paper aims at the limitation of measuring correlation degree based on single curve similarity,introduces the correlation degree of modulus size,establishes a more perfect evaluation system for spatial similarity of parameter sequences,and presents an effective evaluation index for logging information.Results show that optimized grey correlation analysis based on optimal logging parameters is effective in Penglai A structure and can realize rapid and accurate quantitative evaluation of oil and gas bearing property of reservoir.

关 键 词：录井信息 优化型灰色关联分析 模大小关联度 含油气性判别 

分 类 号：P618.13[天文地球—矿床学]