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Sand body and fluid prediction based on pure seismic information
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Science & Technology Review | 2015, 33(11) : 29 - 33
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Science & Technology Review | 2015, 33(11): 29-33
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Sand body and fluid prediction based on pure seismic information
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XI Cheng1, SHI Zejin2, WANG Changcheng1, LI Yi3
Affiliations
    1. College of Enerrgy Resources, Chengdu University of Technology, Chengdu 610059, China;
    2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China;
    3. China Natural Gas Co., Ltd., Chengdu 610100, China
Published: 2015-06-13 doi: 10.3981/j.issn.1000-7857.2015.11.004
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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
Year 2015 volume 33 Issue 11
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doi: 10.3981/j.issn.1000-7857.2015.11.004
  • Receive Date:2014-12-12
  • Online Date:2015-06-11
  • Published:2015-06-13
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  • Received:2014-12-12
  • Revised:2015-03-18
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表12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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