EVALUATION OF CARBONIFEROUS RESERVOIR BY LOGGING IN SHAGUANPIN GAS FIELD,EASTERN SICHUAN

The Huanglong formation of carboniferous is main gas reservior of the Shaguanping gas field in eastern Sichuan which belongs to low porosity and low permeability crack-hole gas pool.Because of the anisotropy of the reservoir,it takes more difficult to the reservoir evaluation by use of traditional method in gas pool description.In this paper,a forecasting model of reservoir property parameter which is calibrated by property values of core is established by using the neural network.And the forecasting result perfectly matches core analysis values.According to the standard of discrimination of reservoir types formulated by gas field and the results of our study in this area,some cross plots of responding characters of electrical log in this reservoir are established and range of responding characters of electrical log in this reservoir is generalized.It is summarized in the first time that the range of responding characters of electrical log for various reservoirs.The neural network model,cross plots templates and the standard of range of responding characters of electric log in this reservoir are applied in the well log data analysis in this area,and the results are good comparing with productivity test records which provide an important reference for the deliverability evaluation and the adjustment of gas reservoir development plan.