Determination of the effective reservoirs on carbon dioxide geological storage in petroleum industry

被引:0
|
作者
Feng Qiao [1 ]
Zhang Xiaoli [2 ]
Wang Xiangzeng [3 ]
Gao Ruimin [3 ]
Ma Jinfeng [2 ]
Wang Zhenliang [2 ]
Huang Chunxia [3 ]
Jiang Shaojing [3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geol Sci & Engn, Qingdao 266510, Shandong, Peoples R China
[2] NW Univ Xian, State Key Lab Continental Dynam, Dept Geol, Xian 710069, Shaanxi, Peoples R China
[3] Shaanxi Yanchang Petr Co Ltd, Xian 710065, Shaanxi, Peoples R China
关键词
Carbon dioxide geological storage; High gamma ray sandstone; Log response; Provenance; Sedimentary process; Well log curve overlap graph; YANCHANG FORMATION; ORDOS BASIN; CHINA;
D O I
10.1016/j.egypro.2014.11.547
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
For the evaluation of the carbon dioxide geological storage, the projects must be carried out: lithology recognition and lithology prediction, reservoir parameter evaluation, temperature and pressure analysis, injection pressure and sealing analysis, rock physical simulation experiment, carbon dioxide flooding, actual performance feedback, etc. The lithology recognition and lithology prediction are the base of the above all. So, the problems about lithology identification and lithology prediction will be mainly discussed. Comparative analyzing the geological features and log responses of the high gamma ray sandstones in Ordos Basin, it is supposed that the origin peculiarities of the high gamma ray sandstones may have three kinds: first, it may be due to provenance; second, it may be caused by homochronous sedimentary volcano tuff ash or previous tuffs; third, it may consist of the above two factors. Four-property relationships of high gamma ray reservoirs and well logging data interpretation results can reveal that the high gamma ray sandstones and mudstones will be quickly identified by using the spontaneous potential logging curve and well log curve overlap graph of spontaneous potential and acoustic slowness. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:5172 / 5177
页数:6
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