Petroleum Science

, Volume 8, Issue 1, pp 70–78

Classification of carbonate gas condensate reservoirs using well test and production data analyses

Authors

    • Research Institute of Petroleum Exploration and DevelopmentPetroChina
  • Baozhu Li
    • Research Institute of Petroleum Exploration and DevelopmentPetroChina
  • Yongle Hu
    • Research Institute of Petroleum Exploration and DevelopmentPetroChina
  • Jing Xia
    • Research Institute of Petroleum Exploration and DevelopmentPetroChina
  • Zhaowei Liu
    • China National Oil & Gas Exploration and Development CorporationPetroChina
  • Xingliang Deng
    • Tarim Oilfield CompanyPetroChina
  • Zhicheng She
    • Tarim Oilfield CompanyPetroChina
  • Kun Fan
    • Tarim Oilfield CompanyPetroChina
Article

DOI: 10.1007/s12182-011-0117-1

Cite this article as:
Li, Y., Li, B., Hu, Y. et al. Pet. Sci. (2011) 8: 70. doi:10.1007/s12182-011-0117-1

Abstract

Carbonate reservoir patterns play an important role in the production performance of oil and gas wells, and it is usually classified through static data analysis which cannot reflect the actual well performance. This paper takes the Tazhong No. 1 gas field in the Tarim Basin, China as an example to investigate the classification of carbonate reservoirs. The classification method mainly combines well test analysis with production analysis — especially the Blasingame type curve method. Based on the characteristics of type curves for well test analysis and the Blasingame method, the relationship between the type curves and reservoir pattern was established. More than 20 wells were analyzed and the reservoirs were classified into 3 major patterns with 7 sub-classes. Furthermore, the classification results were validated by dynamic performance analysis of wells in the Tazhong No.1 gas field. On the basis of the classification results, well stimulation (i.e. water flooding in a single well) was carried out in three volatile-oil wells, and the oil recovery increased by up to 20%.

Key words

Carbonatereservoir patternwell test analysisproduction analysistype curve

Copyright information

© China University of Petroleum (Beijing) and Springer-Verlag Berlin Heidelberg 2011