A New Method for Building Porosity and Permeability Models of a Fractured Granite Basement Reservoir

被引:10
|
作者
Nguyen, T. B. N. [1 ]
Bae, W. [1 ]
Nguyen, L. A. [2 ]
Dang, T. Q. C. [3 ]
机构
[1] Sejong Univ, Dept Earth & Environm Sci, Seoul 143747, South Korea
[2] Vietsovpetro JV, Res & Engn Inst, Vung Tau City, Vietnam
[3] Univ Calgary, Dept Chem & Petr Engn, Calgary, AB T2N 1N4, Canada
关键词
ANN; fractured basement reservoirs; porosity and permeability models; seismic attributes; well log data; NEURAL-NETWORKS;
D O I
10.1080/10916466.2010.551241
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents the procedure and results of building porosity and permeability models for a fractured basement reservoir in offshore Vietnam by using Artificial Neural Network (ANN) method. ANN may help solve problems that conventional computing has not been successful with. Thus, ANN is a method, which could provide an accurate model for fractured basement reservoirs. Moreover, well log data combine seismic attributes to establish the property model. Well log data were used as the indicator to test the accuracy of the models. This study shows the 3D models of porosity and the permeability models.
引用
收藏
页码:1886 / 1897
页数:12
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