THE FUZZY OPTIMUM SCREENING METHOD OF CO2 HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS

doi:10.3863/j.issn.1000-2634.2005.05.09

西南石油大学学报(自然科学版) ›› 2005, Vol. 27 ›› Issue (5): 33-36.DOI: 10.3863/j.issn.1000-2634.2005.05.09

• 石油与天然气工程 • Previous Articles Next Articles

THE FUZZY OPTIMUM SCREENING METHOD OF CO₂ HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS

HOU Tian-jiang¹ ZHENG Yun-chuan¹ SUN Lei¹ et al

Southwest Petroleum Institute, Chengdu Sichuan 610500, China

Received:2004-11-22 Revised:1900-01-01 Online:2005-10-20 Published:2005-10-20
Contact: HOU Tian-jiang

Abstract

Abstract: The screening and comprehensive evaluation of CO₂ huff and puff candidate oilwell is the base of the project'success. In the comprehensive evaluation progress ofdetermination ofweight by either analytical hierarchy process or fuzzy analytical hierarchy process is ofmuch subjectivity, we integratemethod of neural networks and fuzzy comprehensive evaluation, obtain the evaluation parameterweightwhich reflecting the effect of the importance of each parameter to CO₂huff and puff by self-teach-ingmechanism of neural network., so that the weightwould reflect the fact. The field application indicates that thismethod ispracticable in screening and comprehensive evaluation of CO₂ huff and puff candidate oil well

Key words: CO₂ huff and puf, f neuralnetworks, fuzzy mathematics, fuzzy optmi um screening, comprehensive evaluation

CLC Number:

TE357. 7

HOU Tian-jiang ZHENG Yun-chuan SUN Lei et al. THE FUZZY OPTIMUM SCREENING METHOD OF CO₂ HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS[J]. 西南石油大学学报(自然科学版), 2005, 27(5): 33-36.

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THE FUZZY OPTIMUM SCREENING METHOD OF CO₂ HUFF AND PUFF CANDIDATE OIL W ELL VIA NEURAL NETWORKS

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