Fuzzy mathematics-based reservoir evaluation in the southeastern Pre-Caspian Basin

被引:0
作者
Zhu, Wei [1 ]
Gu, Shaoqiu [1 ]
Cao, Zijian [1 ]
Zhang, Guoyi [2 ]
机构
[1] School of Civil Engineering, Hunan University of Science and Technology, Xiangtan
[2] Exploration and Production Research Institute, Jilin Oilfield, PetroChina, Songyuan
关键词
Fuzzy mathematics; Jurassic; Pre-Caspian Basin; Reservoir evaluation; Triassic;
D O I
10.11743/ogg20130311
中图分类号
学科分类号
摘要
Kazakhstan Pre-Caspian Basin is a craton marginal foreland basin located in the southeast edge of East European Platform and is one of the main petroliferous regions in Caspian Sea. Terrigenous clastic rocks were widely developed during the Triassic-Jurassic in southeastern Pre-Caspian Basin. The reservoirs are dominated by sandstone and siltstone of shallow marine shelf facies, shoals facies and delta facies. The poroperm characteristics of the reservoirs are medium porosity and moderate permeability as a whole. The well logging interpretation shows that the reservoirs physical properties and pore texture are of strong heterogeneity. Based on fuzzy mathematics evaluation, this paper optimized the geological factors through multiple regression analysis and smallest secondary multiplication, recognized porosity, permeability, oil saturation and sand thickness as the key geological factors, and established fuzzy mathematical model. The new model overcomes the complexity and subjectivity caused by various uncertainties that are common in traditional reservoir evaluation. Multiple model comparison reveals that the favorable reservoirs in this area are J2II and TII.
引用
收藏
页码:357 / 362
页数:5
相关论文
共 25 条
[1]  
Zhao P., On the mathematical characteristic of geological bodies, Earth Science, 16, 1, pp. 145-155, (1982)
[2]  
Zhao P., Statistical Analysis in Geological Exploration, (1990)
[3]  
Hou R., Reservoir characteriseics of low porosity and permeability sandstone of Member I of Xiashihezi Formation in Daniudi gas field, Oil & Gas Geology, 33, 3, pp. 467-478, (2012)
[4]  
Li D., Ning J., Liu Z., Reservoir prediction with integrated information based on artificial neural network technology and geostatistics, Oil & Gas Geology, 31, 4, pp. 493-503, (2010)
[5]  
Chong R., Yu X., Li T., Application of experimental design theory in stochastic reservoir model optimization, Oil & Gas Geology, 33, 1, pp. 94-101, (2012)
[6]  
Xu D., Wang W., Fuzzy comprehensive judgement to evaluate the Triassic traps in Wu-Xia area, Xinjiang Oil & Gas, 2, 4, pp. 7-11, (2006)
[7]  
Meng Y., Tang D., Xu H., CBM potential productivity assessment through fuzzy mathematics - A case study in Liulin mine area, Hedong coalfield, Coal Geology of China, 22, 6, pp. 17-20, (2010)
[8]  
Li A., Yi H., Chen Z., Application of fuzzy mathematics in evaluating the carboniferous traps in east Chong Qing, Natural Gas Industry, 23, 4, pp. 23-26, (2003)
[9]  
Finol J.J., Guo Y.K., Jing X.D., Fuzzy partitioning systems for electrofacies classification, Petroleum Geology, 24, 4, pp. 441-458, (2001)
[10]  
Tang Q., Evaluating oil trap by fuzzy mathematics, Oil Geophysical Prospecting, 20, 5, pp. 490-495, (1985)