Application of Fracture Prediction and Modeling Technology in Tight Sandstone Gas Reservoir in Xinchang Gas Field of Sichuan Basin

Abstract:

To adopt new generation global optimization discrete scanning technology in 3D space, the seismic event occurrence can be scanned accurately. By means of anslysing the relationship between fracture density of wells and seismic geometry attributes scanned precisely, it is concluded that pixel imaging attribute is effective to predict large scale fracture and curvature for small scale fracture. Based on fracture analysis, making use of lithology and curvature as constraints and starting from the well data, the density of the large scale fracture with seismic level and small scale net fracture can be predicted. According to the structure and production condition of wells, the area with fractures developed and in structural high is the advantageous area for exploration and development.

• Periodical: Applied Mechanics and Materials (Volume 214)
• Pages: 301-305
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.214.301
• Online since: November 2012
• Authors: Liang Chao Qu, Chang Rong Bian
• Keywords: Curvature, Fracture Prediction, Fractured Gas Reservoir, Tight Sandstone

References

[1] Liu Hong, Cai Zhengqi, Tan Xiucheng. Forecasting of fracture reservoirs in thin carbonate rocks of precipitous structure belt, East Sichuan. Petroleum Exploration and Development, 2008, 35 (4): 431-436.

[2] Liu Zhenfeng, Qu Shouli, Sun Jianguo, et. At. Progress of seismic fracture characterization technology. Geophysical prospecting for petroleum, 2012, 51(2): 191-198.

[3] Fang Chen, Zeng Ligang, You Chengcai, et al. Research on methods and applications of fracture comprehensive prediction. Natural Gas Industry, 2007, 27(supplement A): 443-445.

[4] Ma Ruhui. Fracture prediction of tight sandstone reservoir. Natural Gas Industry, 2005, 25(10): 36-37.

[5] Kong Xuanlin, Tang Jianming, Xu Tianji. Application of seismic curvature attributes to fracture prediction in Xincang area, western Sichuan Depression. 2011, 50(5): 517-520.

[6] Zhou Xingui, Cao Chengjie, Yuan Jiayin, et al. Methods and applications of quantitative prediction and evaluation of tectonic fracture in reservoir in petroliferous basin. Journal of Jilin University (Earth Science Edition), 2004, 34(1) : 80-84.

[7] Chen Guangpo, Wang Tianqi, Liu Yingru, et al. Prediction of effective fractures in a limestone buried hill, South China Sea. Petroleum Exploration and Development, 2008, 35(3): 313-317.

DOI: 10.1016/s1876-3804(08)60078-6

[8] Li Zhiyong, Zeng Zuoxun, Luo Wenqiang. A new approach for predicting fractures using principal curvature. Petroleum Exploration and Development, 2003, 30(6): 83-85.

[9] Kurt J. Marfurt, R. Lynn Kirlin, Steven L. Farmer, Michael S. Bahorich. 3-D seismic attributes using a semblance-based coherency algorithm. Geophysics, 1998, 63(4): 1150-1165.

DOI: 10.1190/1.1444415

[10] Chen Yefei, Cai Dongmei1, Fan Zifei et al. 3D geological modeling of dual porosity carbonate reservoirs: A case from Kenkiyak pre-salt oilfield, Kazakhstan. Petroleum Exploration and Development, 2008, 35(4): 492-497.

DOI: 10.1016/s1876-3804(08)60097-x