摘要
以塔中志留系塔中12井区为例,采用高精度微米CT对含沥青质碎屑岩微岩心进行扫描,并运用人工智能算法对孔隙、沥青质和岩石骨架进行识别,得到基于真实岩心的孔隙网络模型,并分别计算将沥青质识别为岩石骨架和将沥青质识别为孔隙结构两种情况下的岩心孔隙度、渗透率、平均孔喉半径、中值孔喉半径和中值进汞压力,分析沥青质的存在对这些岩石物性参数以及孔渗关系曲线的影响。结果表明:相较于沥青质识别为岩石骨架,当沥青质识别为孔隙时,岩心孔隙度、渗透率、平均孔喉半径和中值孔喉半径明显提高,中值进汞压力有所降低;沥青质对岩心渗透率的影响要大于对孔隙度的影响;沥青质识别为孔隙时的孔渗相关性优于沥青质识别为骨架时的孔渗相关性。
Asphaltene-bearing clastic core samples from Silurian Tazhong area was taken as research objects in this paper,Micro-CT with high-precision was used to scan the cores.Artificial intelligence algorithms were used to identify pores,asphaltenes and rock skeletons,and pore network models based on real cores were obtained.Porosity,permeability,average pore throat radius,median pore throat radius and median mercury inlet pressure were calculated when asphaltene was identified as rock skeleton or pore structure respectively.The influences of the presence of asphaltene on these rock physical parameters and the porosity-permeability curve were analyzed.The results of the study showed that,compared with asphaltenes identified as rock skeletons,the core porosity,permeability,average pore throat radius and median pore throat radius significantly increased,and the median mercury inlet pressure reduced when asphaltenes were identified as pores.Asphaltene had a greater influence on core permeability than on porosity.The correlation of porosity when asphaltene was identified as pore was better than that when asphaltene was identified as skeleton.
作者
曹安
龙威
杜虹宝
陈飞飞
赵红
王冠群
袁萍
CAO An;LONG Wei;DU Hong-bao;CHEN Fei-fei;ZHAO Hong;WANG Gang-qun;YUAN Ping(PetroChina Tarim Oilfield,Korla 841000,China;Research Institute of Tsinghua University in Shenzhen,Shenzhen 518057,China;ICORE GROUP INC,Shenzhen 518057,China)
出处
《当代化工》
CAS
2021年第12期2869-2872,2876,共5页
Contemporary Chemical Industry
基金
中石油集团专项《塔里木盆地大油气田增储上产关键技术研究与应用》课题5《碎屑岩油藏提高采收率技术攻关与试验》(2018E-1805)
广东省引进创新创业团队项目(No.2017ZT07G264)
深圳市海外高层次人才资金(KQTD2017033114582189)
深圳市科学技术创新委员会项目(JCYJ20170817152743178)资助。
关键词
CT扫描
沥青质
孔隙结构
孔渗相关性
CT-Scan
Asphaltene
Pore structure
Porosity-permeability corelation
