基于熵权法-TOPSIS-灰色关联法的储层综合评价:以莺歌海盆地黄流组为例  

Comprehensive evaluation of reservoirs based on the entropy weight method,TOPSIS,and the gray correlation method:Taking the Huangliu Formation in Yinggehai Basin as an example

作　　者：梁玉凯 宋荣彩[2,3] 郑华安 张超 梁元[4] 陈海雯 郑峰 LIANG Yukai;SONG Rongcai;ZHENG Huaan;ZHANG Chao;LIANG Yuan;CHENG Haiwen;ZHENG Feng(CNOOC China Limited,Hainan Branch,Haikou 570312,China;Energy College,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Reservoir Geology and Development Engineering,Chengdu University of Technology,Chengdu 610059,China;Sichuan Key Laboratory of Mathematical Geology,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]中海石油(中国)有限公司海南分公司,海口570312 [2]成都理工大学能源学院,成都610059 [3]油气藏地质及开发工程国家重点实验室(成都理工大学),成都610059 [4]成都理工大学数学地质四川省重点实验室,成都610059

出　　处：《成都理工大学学报（自然科学版）》2024年第1期91-101,共11页Journal of Chengdu University of Technology: Science & Technology Edition

基　　金：中海油海南分公司一般项目(CCL2022HNFN0259);四川省科技计划项目(2023NSFSC0252)。

摘　　要：莺歌海盆地上中新统黄流组是高温高压系统,地层地温梯度超过4℃/100 m、压力系数大于1.6。地热资源潜力丰富,但地热资源评价的相关工作还未开展。通过9口钻井、测井录井、生产资料以及最新7口井地层测温数据和岩石热物性参数测试,在储层储集性能基础上,结合热物性参数,开展储层综合评价工作。以黄流组为例,在储层六参数关系评价基础上,优选孔隙度(Ф)、渗透率(K)、泥质含量(Vsh)、地层系数(DФ)、地层温度(T)、生热率(A)、热导率(J)7个热储评价指标,采用熵权-TOPSIS-灰色关联方法,对该类型热储进行综合评价。研究认为:7个评价指标中,孔隙度、渗透率、地层系数的权重占比较大,分别为21.31%,21.07%和20.42%,是主要影响因素。考虑评价参数的正负理想解的欧氏距离和各指标与正负理想解的灰色关联度,开展不同决策偏好情况下的相对贴近度角度来定量评价,结果显示,储层H1-2、H1-1、H2-2相对贴近度较高,分别为0.624,0.606,0.529,储层性质较好,可作为莺歌海盆地黄流组热储层的重点研究对象。The Upper Miocene Huangliu Formation in Yinggehai Basin is a high temperature and high pressure system.The geothermal gradient of the formation is more than 4℃/100 m,and the pressure coefficient is greater than 1.6.There is a high potential of geothermal resources in the basin,but a geothermal resource evaluation of the area has not yet been carried out.Through nine drilling wells,logging,recording,production data and formation temperature measurement data of the latest seven wells and rock thermophysical parameter tests,a comprehensive evaluation of the reservoir is carried out based on the reservoir storage performance,combined with thermophysical parameters.Taking Huangliu Formation as an example,based on the evaluation of the six-parameter relationship of the reservoir,this paper optimized seven thermal reservoir evaluation indexes porosity,permeability,shale content,formation coefficient,formation temperature,heat generation rate,and thermal conductivity,and adopts entropy weight-TOPSIS-gray correlation method to carry out a comprehensive evaluation of this type of thermal storage.The results show that among the seven evaluation indexes,porosity,permeability and stratigraphic coefficient accounted for a relatively large weighting of 21.31%,21.07%and 20.42%,respectively,and were the main influencing factors.Considering the Euclidean distance of the positive and negative ideal solutions of the evaluation parameters and the gray correlation degree between each index and the positive and negative ideal solutions,the relative closeness degree under different decision preferences was used to perform a quantitatively evaluate,the results show that the relative closeness of reservoirs H1-2,H1-1,and H2-2 is relatively high,which is 0.624,0.606,and 0.529,respectively,and the reservoirs have better properties,which can be used as the key research object for the Huangliu Formation thermal reservoirs in the Yinggehai Basin.

关 键 词：莺歌海盆地 黄流组热储 熵权—TOPSIS—灰色关联方法 热储评价 

分 类 号：TE1[石油与天然气工程—油气勘探] P618.13[天文地球—矿床学]