THE RESERVOIR CHARACTERISTICS AND PREDICATION OF CARBONIFEROUS IN SHAGUANPIN GAS FIELD,EASTERN SICHUAN PROVINCE

Pore and fracture are principal reservoir space in the Huanglong formation of the Carboniferous in Shaguanping Gas Field,and the Huanglong Formation belongs to low porosity and permeability reservoir but the fracture plays an important role in improving the permeability.Based on the Logging information,the porosity,permeability,aqueous saturation and fractures growth degree of the non-coring well had been forecasted by using the neural network algorithm.Using the method of erroneous statistics to evaluate the results of prediction-model of the reservoir-parameter,the results meet the requirements to calculate the reservoir-parameter.The returns to sentencing rate of the fracture achieve 97.53%,which proved that the neural network algorithm is effective mean of reservoir prediction in the case of less the logging information.The method can provide a reliable basis in geological for the deployment of appraisal wells and development well in the gas fields,calculation of reserves,and establishment development plan of the gas field.