地址:四川省成都市高新区天府大道北段12号中国石油科技大厦

电话:028-86015441

        028-86015324

        028-86015319


邮箱:gaskk@petrochina.com.cn

QQ群:489323588

您所在位置:首页->过刊浏览->天勘2017.4


成像孔隙度谱在川中地区下二叠统栖霞组储层测井评价中的应用
Application of image porosity spectrum in reservoir logging evaluation of Lower Permian Qixia Formation in the central Sichuan Basin
吴煜宇 赖 强 谢 冰 赵艾琳
点击:31次 下载:1次
DOI:10.12055/gaskk.issn.1673-3177.2017.04.002
作者单位:中国石油西南油气田公司勘探开发研究院
中文关键字:四川盆地 早二叠世 栖霞组 成像孔隙度谱 孔隙结构 储层划分
英文关键字:Sichuan Basin; Early Permian; Qixia Formation; Image porosity spectrum; Pore structure; Reservoir classification
中文摘要:四川盆地川中地区下二叠统栖霞组天然气勘探获得了重大突破。该区储层以薄层状白云岩为主,孔隙类型多样,孔
隙结构复杂,溶蚀孔洞的大小、分布情况都表现出很强的非均质性,大大增加了测井储层综合评价的难度。由于成像测井具有较
高纵向分辨率、直观反映井壁孔洞和裂缝等优点,故利用该区丰富的成像测井资料来计算栖霞组地层的孔隙度谱,并将孔隙结构
分类,建立成像孔隙度谱图版,然后根据孔隙度谱开展基质孔和次生溶孔的定量计算,并结合常规测井计算的孔隙度,对储层类
型进行了划分。结果表明:①成像孔隙度谱结构特征在一定程度上可反映孔径大小的分布情况,进而反映储层孔隙结构特征,不
同的谱结构反映不同孔隙类型组合特征和原生孔隙与次生孔隙的搭配关系;②栖霞组孔隙度谱结构可分为无峰宽谱型、多峰中谱
型、单峰中谱型和单峰窄谱型4 种类型,有利储层的成像孔隙度谱以无峰宽谱型和多峰中谱型为主;③通过标定成像孔隙度谱可
定量计算地层基质孔和溶蚀孔的孔隙度,进而划分储层类型。



英文摘要:Several great gas discoveries have been made recently in the Lower Permian Qixia Formation in the central Sichuan Basin.
The reservoirs are mainly composed of laminated dolomite, and characterized by multiple types of pores and complex pore structures,
with dissolved pores which are strongly heterogeneous in size and distribution, making the comprehensive logging reservoir evaluation
much more difficult. Image logging is higher in vertical resolution and can depict intuitively the pores and fractures on the wellbore
wall. In this paper, therefore, the porosity spectrum of Qixia Formation strata was calculated by using the abundant image logging data
of this area. Furthermore, pore structures were divided and image porosity spectrum chart was prepared. Then, matrix porosity and
secondary dissolved porosity were calculated quantitatively based on the porosity spectrum. Finally, combined with the porosity calculated
from conventional logging, the reservoirs were classified. It is shown that the structure characteristics of image porosity spectrum,
to a certain extent, can reflect the distribution of the pore diameters, and even the structural characteristics of reservoir pores,
and different spectrum structures can reflect the combination characteristics of different types of pores and the collocation relationship
between primary pores and secondary pores. The porosity spectrum of Qixia Formation can be structurally divided into four types, i.e.,
no-peak wide spectrum, multi-peak medium spectrum, unimodal medium spectrum, and unimodal narrow spectrum. The image porosity
spectrum of favorable reservoirs is mainly in the form of no-peak wide spectrum and multi-peak medium spectrum. Matrix porosity
and dissolved porosity can be quantitatively calculated by calibrating the image porosity spectrum, and ultimately reservoirs classification
can be implemented.
读者评论

      读者ID: 密码:   
我要评论:
国内统一连续出版物号:CN51-1159/TE |国内发行代码: |国际标准出版物号:ISSN1673-3177 |国际发行代码:
主管单位:中国石油西南油气田公司  主办单位:中国石油西南油气田公司勘探开发研究院
版权所有©2018天然气勘探与开发》编辑部 蜀ICP备10004100号
本系统由北京菲斯特诺科技有限公司设计开发
您是本站第1532136名访问者