Comprehensive Evaluation for Putaohua Reservoir in Sanzhao Depression

Abstract:

With complicated geological background, Putaohua reservoir in Sanzhao depression has lots of blocks. Based on its distribution characteristics and evaluation unit division as well as combined with detailed geological characteristics, parameters of developed and undeveloped blocks were optimized and the comprehensive evaluation parameters were determined. In order to make a correct evaluation for oil content, oil distribution, reservoir physical properties and productivity, this paper has adopted comprehensive quantitative evaluation method to do the comprehensive classification and evaluation for developed and undeveloped blocks. It can not only further improve oil recovery of developed blocks but also provide scientific basis for selecting favorable blocks for productivity construction of undeveloped blocks. According to the classification standard, the developed and undeveloped blocks of Putaohua reservoir in Sanzhao depression were separately divided into three types including Class Ⅰ, Ⅱand Ⅲ. In view of the geology and development factors, undeveloped blocks of Class Ⅰ are equivalent to developed blocks of Class Ⅱ; undeveloped blocks of Class Ⅱ are equivalent to developed blocks of Class Ⅲ; undeveloped blocks of Class Ⅲ are the poorest of all.

• Periodical: Advanced Materials Research (Volumes 361-363)
• Pages: 400-407
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.361-363.400
• Online since: October 2011
• Authors: Ji Yu Liu, Wei Feng, Sen Lin Gan
• Keywords: Cluster Analysis, Comprehensive Quantitative Evaluation, Parameter Optimization, Putaohua Reservoir, Sanzhao Depression

References

[1] Jiyu Liu, Manyu Liu, Hao Xu: The Optimization of Low-permeability Reservoir Evaluation Parameters Based on Cluster Analysis. Petroleum Geology and Engineering (2009), 23(3), 104~108

[2] Gang Liu, Xinjun Chen, Baojun Liu.et al: The Application of Grey Clustering analysis in the Geological Study of Petroleum and Natural Gas. Journal of Xinjiang Petroleum Institute(2003）, 15(1), p.26～29

[3] Jiyu Liu, Shuo Yang, Jin Lv: The Application of Cumulative Probability Curve in the Evaluation of Low-permeability Reservoir. Petroleum Geology & Oilfield Development in Daqing (2010), 29(3),29～31

[4] Chenhua Ou., Jinshan Chen: Application of Fuzzy Comprehensive Judge Technique to Sandbody Classification. Journal of Southwest Petroleum Institute(1998), 20（3）,7～10

[5] Shimin Peng, Qihua Xiong, Caijing Wang. et al: A Method of Principal Component Analysis in Comprehensive Reservoir Evaluation. Acta Petrolei Sinica (1994), 20（3）,7～10

[6] Fengyin Xu, Xingshan Zhu, Qibin Yan. et al.: An Approach to Define Weight of Indexes In the Quantitative Evaluation of Reservoirs. Acta Petrolei Sinica(1996), 17（2）,29～34