| Permeability is really one of the significant keys to the research of reservoir performance. It is really hard to establishment the permeability interpretation model, because well logging is influenced by numerous factors with multi-solvability. So it is more difficult to interpret by logging methods. As an example of fluvial-delta sand body in Zichang-Ansai area in this paper on which is base previous worked the Chang6reservoirs. Oil reservoirs of the chang61,chang62and chang63are divided in some geological units according to sedimentary microfacies and diagenetic fancies through the observation of the core, combine the datum of mud logging, microcrystalline and logging well. Then the permeability interpretation model put into using core analysis method which is utilize the fitted relation of porosity and penetration. Factors which effect the permeability is complex, so we select GR which reflect lithology and VSH, Δt which report size of porosity.and SP which reflex seepage capability to set up the multiple linear regression logging interpretation model according to formula.Achievements as follows:(1) Sedimentation microfacies and diagenetic fancies control the related coefficient of permeability model. The zones which are located in advantage sedimentation microfacies and diagenetic fancies have the higher predictive correlation coefficient, otherwise the opposite.(2) The accuracy that use multiple linear regression is better than using core analysis method. This is because multiple linear regression takes more factors effecting permeability into consideration rather than only porosity. So, multiple linear regression is fit more in line with the geological laws, but logging interpretation model of permeability established under multiple linear regression, must be in geological conditions, would use in production according to the practical production accuracy, otherwise, there is any geological significance. |
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