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Development of well-to-seismic integration reservoir modeling and its application
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Science & Technology Review | 2015, 33(19) : 91 - 95
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Science & Technology Review | 2015, 33(19): 91-95
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Development of well-to-seismic integration reservoir modeling and its application
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ZHANG Yi1, YIN Yanshu1,2, QIN Zhiyong3, ZHOU Wen1
Affiliations
    1. School of Geosciences, Yangtze University, Wuhan 430100, China;
    2. Key Laboratory of Depositional Mineralization & Sedimentary Minerals of Shandong Province; Shandong University of Science and Technology, Qingdao 266590, China;
    3. Bohong Oil Petrochemical Co. Ltd., Bingang Group, Dagang Oilfield Company, PetroChina, Tianjin 300280, China
Published: 2015-10-13 doi: 10.3981/j.issn.1000-7857.2015.19.015
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The characteristics of high-density sampling of seismic data and well data in the horizontal and vertical directions are integrated to construct the reservoir model for the Section B of a gas field of China. Firstly, the well-to-seismic integration calibration is used to interpret the fine structure, and the accurate velocity model is adopted to set up a bridge between the time domain of seismic data and depth domain of well data. Secondly, the reservoir structural model is built by well correlation under the constraint of the fault and horizon from seismic interpretation. Thirdly, a co-simulation method is developed to forecast the sand distribution, in which well data is the master variable and the lithology probability from seismic inversion is the second variable. The facies model is built on the basis of sand distribution model. Finally, the model of petro-physical property is built under the constraint of the facies model. Appliction has indicated that reservoir modeling with well-to-seismic integration is more accurate in terms of fault and sand body prediction between wells, thereby the improvement of accuracy of the reservoir model.
integration of wells and seismic data  /  well-seismic integration calibration technique  /  reservoir modeling  /  tectonic framework  /  probability model of lithologic
张义, 尹艳树, 秦志勇, 周文. 井震结合精细储层建模方法与实践. 科技导报, 2015 , 33 (19) : 91 -95 . DOI: 10.3981/j.issn.1000-7857.2015.19.015
ZHANG Yi, YIN Yanshu, QIN Zhiyong, ZHOU Wen. Development of well-to-seismic integration reservoir modeling and its application[J]. Science & Technology Review, 2015 , 33 (19) : 91 -95 . DOI: 10.3981/j.issn.1000-7857.2015.19.015
Year 2015 volume 33 Issue 19
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doi: 10.3981/j.issn.1000-7857.2015.19.015
  • Receive Date:2015-05-07
  • Online Date:2015-10-16
  • Published:2015-10-13
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  • Received:2015-05-07
  • Revised:2015-06-25
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10.3981/j.issn.1000-7857.2015.19.015
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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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