Abstarct: In most conventional modeling an appraisal of reservoir is made by using a limited superficial measurement. With considering the importance of hydrocarbon rule in economics of a country, it is necessary to provide a set of precise and suitable models by using of new technology which integrates all available data. In this thesis target of study is Farour A oil field in which two wildcat well were drilled in 1974 and with custom methods gas in place were predicted around 25 billion cubic meters in standard condition. In this thesis, a number of new ideas baxsed on neural network and ANFIS for determination of reservoir parameters, structural modeling and evaluation of gas in place in Farour A oil field engaged. First, for making synthetic seismogram, velocity information which was missed at one well location was predicted by Gardner’s relationship with some modification. Then, 2D seismic data and petrophysical well logs such as density, velocity, porosity and so forth in Farour.A oil field were engaged in HRS software and by applying seismic inversion, broad-band acoustic impedance were extracted as the most related attribute to porosity. Next, by using stepwise regression and cross validation techniques, 1/(Acoustic Impedance) and Average Frequency were selected as optimum types of related seismic attributes for porosity estimation. Finally, three types of neural and neuro-fuzzy (ANFIS) network were applied for porosity prediction using seismic attributes. Results showed that predicting porosity from seismic attributes by ANFIS performs fast convergence and high accuracy against three types of neural networks. After making structural, porosity and water saturation models by Petrel software, gas in place reserve in Asmari reservoir was evaluated in three states. The first one was a model likes the NIOC model and built for comparison. At the second one, porosity model which was made by Petrel software examined and its accuracy has been checked. At the third one, gas in place was evaluated for 124 meters gas column where as water saturation is less than 0.8. So, average gas in place of Asmari reservoir in Farour A oil filed for 90 meters gas column for water saturation less than 0.7 was evaluated 25 billion cubic meters in standard condition with standard deviation of 0.5 and for 124 meters gas column with water saturation less than 0.8 was evaluated 45.5 billion cubic meters in standard condition with standard deviation of 0.9, Sensitivity analysis showed importance of precise calculation in porosity, water saturation and net volume with correlation coefficient of 0.63, 0.57 and 0.47 respectively versus gas in place reserve.