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Model and method for oil and gas productivity prediction of reservoir(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2004年第02期
Page:
42-46
Research Field:
Publishing date:

Info

Title:
Model and method for oil and gas productivity prediction of reservoir
Author(s):
TAN Cheng-qian1; MA Na-rui2; S U Chao3
1.Dept. ofGeology, Northwest University, Xi′an 710069,China;2.School ofSciences, Chang′an University, Xi′an 710054,China;3.Research Center ofReservior,Zhongyuan Oilfield,Puyang Henan 457001,China
Keywords:
log data ; oil-gas pro ductivity prediction; neural network ; Kelamayi Oil-field
PACS:
TE122.2
DOI:
-
Abstract:
In this paper, the theoretical equation of the reservoir productivity is studied from the Darcy's two-dimensional produc- tion formula. The complicated relation between the productivity and the effective porosity, permeability, resistivity are deduced ac- cording to the functional relationship between relative permeability and water saturation. On the basis of the achievements above, the fundamental strategies of predicting the reservoir productivity are discussed. Finally the prediction system of reservoir produc- tivity is established by neural network technique. This system has been successfully applied for the oil-gas productivity prediction of the Keshang Formation in the District 8 of Kelamayi Oil-field and proved to be effective.

References:

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Last Update: 2004-06-20