APPLICATION OF AUTOMATED MATCHING BASED ON HYBRID GENETIC ALGORITHM TO FINITE-CONDUCTIVITY FRACTURED WELL

doi:10.3863/j.issn.1000-2634.2000.04.012

西南石油大学学报(自然科学版) ›› 2000, Vol. 22 ›› Issue (4): 41-43.DOI: 10.3863/j.issn.1000-2634.2000.04.012

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APPLICATION OF AUTOMATED MATCHING BASED ON HYBRID GENETIC ALGORITHM TO FINITE-CONDUCTIVITY FRACTURED WELL

DUAN Yong-gang CHEN Wei HUANG Chen SU Neng-yi YAN Bin et al

Southwest Petroleum Inst

Received:2000-05-23 Revised:1900-01-01 Online:2000-11-20 Published:2000-11-20

Abstract

Abstract: Fracturing is the primary stimulation measure for low permeability reservoir and well test is an important way for postfractured evaluation. In this paper, the complete reservoir and wellbore couple model was set up through the combination of line source model, which derived from source function of finite
-conductivity fractured well, with the skin damage factor Sf of fracture face. We have solved the model by employing boundary element and obtained good results through the application of automated matching typical curve of well test based on hybrid genetic optimization method.

Key words: well test analysis, fractured well, automated fitting, optimization, genetic algorithm

CLC Number:

TE353

DUAN Yong-gang CHEN Wei HUANG Chen SU Neng-yi YAN Bin et al. APPLICATION OF AUTOMATED MATCHING BASED ON HYBRID GENETIC ALGORITHM TO FINITE-CONDUCTIVITY FRACTURED WELL[J]. 西南石油大学学报(自然科学版), 2000, 22(4): 41-43.

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APPLICATION OF AUTOMATED MATCHING BASED ON HYBRID GENETIC ALGORITHM TO FINITE-CONDUCTIVITY FRACTURED WELL

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