The lithology of conglomerate is rich and variable, the pore structure is complex, the classification of reservoir type is difficult, without standardized evaluation parameters. Taking the conglomerate reservoirs of the Upper-Lower Karamay Formation in District Min-7 of Karamay Oilfield of Xinjiang as the object of study, based on the high-pressure mercury injection data of the reservoir rocks of the Formation 106, the classification scheme of the conglomerate reservoirs was established by using the clustering analysis method; the classification parameters of the conglomerate reservoirs were simplified and clarified by the methods such as the variance calculation and the validity of this method was verified by the use of the discriminant analysis in the end. The results show that the non-homogeneity of the conglomerate reservoir in the study area is strengthened as the physical properties become better and the pore-throat size becomes larger, reflecting the complexity of the conglomerate pore structure; the clustering analysis after data preprocessing can effectively classify the reservoirs, and there are significant differences between the classes; based on the quantification of parameter centralization and dispersion, six parameters for reservoir classification, such as the median pressure and the average pore-throat radius, are preferred; after the validation of the discriminant analysis, the accuracy of classification is still as high as 95.80% after the parameter preference, indicating that the method has high classification accuracy and is not geographically restricted, which makes it valuable for generalization.
Liu Mingxi
,
Song Kaoping
,
Guo Ping
,
Fu Hong
,
Xu Mingxiao
,
Wang Longxin
,
Patiguri McMatty
,
Yun Qingqing
. Classification Method and Application of Conglomerate Reservoir Based on ClusteringAnalysis[J]. Special Oil & Gas Reservoirs, 2023
, 30(6)
: 16
-22
.
DOI: 10.3969/j.issn.1006-6535.2023.06.003
[1] 朱政文.砂砾岩油藏储层沉积相的特征[J].化工设计通讯,2019,45(1):239.
ZHU Zhengwen.Thoughts on characteristics of sedimentary facies in glutenite reservoirs[J].Chemical Engineering Design Communications,2019,45(1):239.
[2] 刘敬奎.砾岩储层结构模态及储层评价探讨[J].石油勘探与开发,1983,10(2):45-56.
LIU Jingkui.An investigation on structure model of conglomeratic reservoir and its evaluation[J].Petroleum Exploration and Development,1983,10(2):45-56.
[3] 印森林,陈恭洋,陈玉琨,等.砂砾岩储层孔隙结构复杂模态差异机制[J].西南石油大学学报(自然科学版),2019,41(1):1-17.
YIN Senlin,CHEN Gongyang,CHEN Yukun,et al.Mechanism of complex modes of the pore structure of sandstone/conglomerate reservoirs[J].Journal of Southwest Petroleum University(Science & Technology Edition),2019,41(1):1-17.
[4] EHRENBERG S N,NADEAU P H.Sandstonevs.carbonate petroleum reservoirs:a global perspective on porosity-depth and porosity-permeability relationships[J].AAPG Bulletin,2005,89(4):435 445.
[5] 汤金玲.复杂砂砾岩储集体岩相特征研究与识别[J].中国石油和化工标准与质量,2013,33(15):158.
TANG Jinling.Research and identification of reservoir lithofacies characteristics of the complex sandstone reservoirs[J].China Petroleum and Chemical Standard and Quality,2013,33(15):158.
[6] LIU Chao,YIN Changhai,LU Jiamin,et al.Pore structure and physical properties of sandy conglomerate reservoirs in the Xujiaweizi DE Pression,northern Songliao Basin,China[J].Journal of Petroleum Science and Engineering,2020,192(1):1-12.
[7] 罗明高,张庭辉.克拉玛依砾岩油藏微观孔隙结构及分类[J].石油与天然气地质,1992,13(2):201-210.
LUO Minggao,ZHANG Tinghui.Micropore structure and classification of Conglomerate reservoir formation in Karamay Oilfield[J].Oil & Gas Geology,1992,13(2):201-210.
[8] 肖杭州,于友,刘美成,等.吉林油田低渗透油藏储层综合分类评价技术[J].油气井测试,2021,30(3):70-78.
XIAO Hangzhou,YU You,LIU Meicheng,et al.Comprehensive classification and evaluation technology for low permeability reservoir in Jilin Oilfield[J].Well Testing,2021,30(3):70-78.
[9] 缪欢,王延斌,国建英,等.吐哈盆地中二叠统桃东沟群烃源岩测井评价[J].石油物探,2022,61(4):733-742,760.
MIAO Huan,WANG Yanbin,GUO Jianying,et al.Evaluation of Middle Permian source rocks of the Taodonggou Group in the TurpanHami Basin[J].Geophysical Prospecting for Petroleum,2022,61(4):733-742,760.
[10] 况晏,司马立强,瞿建华,等.致密砂砾岩储层孔隙结构影响因素及定量评价——以玛湖凹陷玛131井区三叠系百口泉组为例[J].岩性油气藏,2017,29(4):91-100.
KUANG Yan,SIMA Liqiang,QU Jianhua,et al.Influencing factors and quantitative evaluation for pore structure of tight glutenitereservoir:a case of the Triassic Baikouquan Formation in Ma 131 Well Field,Mahu Sag[J].Lithologic Reservoirs,2017,29(4):91-100.
[11] 谭锋奇,李洪奇,许长福,等.基于聚类分析方法的砾岩油藏储层类型划分[J].地球物理学进展,2012,27(1):246-254.
TAN Fengqi,LI Hongqi,XU Changfu,et al.Reservoir classification of conglomerate reservoir base on clustering analysis method[J].Progress in Geophysics,2012,27(1):246-254.
[12] 许君玉,许新,李远钦.基于K-均质聚类分析超低渗透率储层分类研究[J].测井技术,2017,41(1):98-103.
XU Junyu,XU Xin,LI Yuanqin.Classification of ultra-low permeability reservoirs based on K-mean cluster analysis[J].Well Logging Technology,2017,41(1):98-103.
[13] 王永诗,高阳,方正伟.济阳坳陷古近系致密储集层孔喉结构特征与分类评价[J].石油勘探与开发,2021,48(2):266-278.
WANG Yongshi,GAO Yang,FANG Zhengwei.Pore throat structure and classification of Paleogene tight reservoirs in Jiyang Depression,Bohai Bay Basin,China[J].Petroleum Exploration and Development,2021,48(2):266-278.
[14] 孙雅雄,张坦,丁文龙,等.压汞法与数字图像分析技术在致密砂岩储层微观孔隙定量分析中的应用——以鄂尔多斯盆地吴起油田X区块为例[J]. 石油实验地质, 2022, 44(6): 1105-1115.
SUN Yaxiong, ZHANG Tan, DING Wenlong,et al. Application of mercury intrusion method and digital image analysis in quantitative analysis of micro-scale pores in tight sandstone reservoirs: a case study of X Block in Wuqi Oil Field, Ordos Basin[J]. Petroleum Geology & Experiment, 2022, 44(6): 1105-1115.
[15] 左卿伶.克拉玛依油田七中区克下组砾岩储层特征及三维地质建模[D].北京:中国石油大学(北京),2018.
ZUO Qingling.Characteristics and 3D geological modeling of conglomerate reservoir in Kexia Formation,District Min-7 of Karamay Oilfield[D].Beijing:China University of Petroleum (Beijing),2018.
[16] 何晓群.应用多元统计分析(第二版)[M].北京:中国统计出版社,2015(10):65.
HE Xiaoqun.Applied multivariate statistical analysis (Second Edition)[M].Beijing:China Statistics press,2015(10):65.