Xinjiang Petroleum Geology ›› 2004, Vol. 25 ›› Issue (1): 77-79.

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The Relationship among 12 Generalized Models for Production Prediction of Oil-Gas Fields

YANG Xing-hua, LIU Ying   

  1. Research Institute of Exploration and Development, Tu-Ha Oilfield Company, PetroChina, Hami, Xinjiang 839009, China
  • Received:2003-03-12 Online:2004-02-01 Published:2020-08-06

Abstract: By selecting different characteristic parameters of the general ized mathematic model for production prediction of oil-gas fields given inthe literalture [l], 12 types of related models are obtained such as W eng cyclic model, log normal distribution model, Rayleigh prediction model, Betacyclic model, Hubbert resource prediction model, HCZ model, Arps decline model, Kopatov decline model, etc., among which W eng cyclic model .and others for production prediction are the special cases of generalized mathematic model in the literature [1]. Therefore, the general formula forgeneralized mathematic model can be used to establish relations between other models for production prediction and generalized mathematic tipgngeleteadgilavelforltlye therpreodegfefieigligiureicdifofigieiyiveignience fotfefedeuse.

Key words: oil-gas field, production prediction, mathematic model, parameter

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