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2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China;
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科技导报
| 研究论文 2015, 33(11): 29-33
基于纯地震信息的砂体预测及流体检测
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郗诚1 , 施泽进2 , 王长城1 , 李益3
作者信息
1. 成都理工大学能源学院, 成都610059;
2. 成都理工大学油气藏地质及开发工程国家重点实验室, 成都610059;
3. 华油天然气股份有限公司, 成都610100
Sand body and fluid prediction based on pure seismic information
Affiliations
出版时间: 2015-06-13
doi: 10.3981/j.issn.1000-7857.2015.11.004
文章导航
针对河道砂体横向变化较快的非均质性特点, 通过对低频信息保存较好的地震纯波进行信息挖潜, 提取纯地震振幅信息以及相对阻抗反演进行河道砂体预测, 利用地震低频增量属性对流体进行预测, 有效解决了河道砂体横向变化较快的横向非均质性难题。通过河道砂体及流体检测结果, 进行井位部署的优选, 提供建议井5 口, 其中4 口获得高产, 研究结果可以作为油田生产井位部署的主要依据, 此研究方法可以在类似地质条件区块中加以推广应用。
河道沉积
/
地震纯波
/
振幅信息
/
相对阻抗
/
低频增量
According to the characteristics of the lateral heterogeneity geological changes of channel sand body, this article uses the pure seismic information, in which low frequency information is well preserved, to predict the sand body and fluid by extracting pure seismic amplitude information by doing relative impedance inversion and using the low-frequency incremental attribute. According to the prediction results of sand body and fluid, well location optimization can be performed. Five wells were suggested and four of them had high yields. The research result can be used as a basis for the next step of the production of the oil field well deployment, and it also can be popularized in similar geological conditions blocks.
within-channel deposit
/
seismic pure wave
/
amplitude information
/
relative impedance
/
low frequency increment
郗诚, 施泽进, 王长城, 李益.
基于纯地震信息的砂体预测及流体检测.
科技导报,
2015
, 33
(11)
: 29
-33
.
DOI: 10.3981/j.issn.1000-7857.2015.11.004
XI Cheng, SHI Zejin, WANG Changcheng, LI Yi.
Sand body and fluid prediction based on pure seismic information[J].
Science & Technology Review ,
2015
, 33
(11)
: 29
-33
.
DOI: 10.3981/j.issn.1000-7857.2015.11.004
2015年第33卷第11期
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文章信息
doi: 10.3981/j.issn.1000-7857.2015.11.004
接收时间:2014-12-12
首发时间:2015-06-11
出版时间:2015-06-13
收稿日期:2014-12-12
修回日期:2015-03-18
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2015.11.004
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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