西南石油大学学报(自然科学版) ›› 2007, Vol. 29 ›› Issue (6): 68-70.DOI: 10.3863/j.issn.1000-2634.2007.06.016

• 地质勘探 • Previous Articles     Next Articles

RECOGNITION OF OIL BEARING RESERVOIRS BASED ON GREY CORRELATION ANALYSIS OF GAS LOGGING DATA

LIAN Cheng-bo ZHONG Jian-hua LI Han-lin CAI Fu-long ZHANG Jun-tao   

  1. 1．College of Georesources and Information，China university of Petroleum，Dongying Shandong 257061，China；2．Institute of Geology and Geophysics，Chinese Academy of Sciences，Beijing 100029，China；3．The Department of Earth Science，Nanjing University，Nanjing Jiangsu 210932，China
  • Received:2006-09-22 Revised:1900-01-01 Online:2007-12-20 Published:2007-12-20
  • Contact: LIAN Cheng-bo

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Abstract:

There is a noticeable correlation between gas logging data and oilbearing reservoirs. Reservoir oilgas potential is considered as reference series and gas logging parameters are taken as comparison series. Correlation degree between gas logging parameters and oilgas potential is obtained based on average weight grey correlation analysis. The weight of gas logging parameters in the weighted grey correlation analysis of tested reservoirs and unknown reservoirs are ascertained. Correlation degree between tested reservoirs and unknown reservoirs is obtained by weight grey correlation degree. Oilgas potential of unknown reservoirs is recognized in the light of maximum subject degree. The case study shows that the method is simple in calculation and the result is reliable, it is practicable for recognizing oilgas potential.

Key words: grey correlation analysis, oil gas potential, gas logging data, pattern recognition, weight

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