Reservoir Prediction Of Glutenite For The South Actic Region In Biyang Sag Nanxiang Basin

Reservoir prediction is one of the main techniques in the oil and gas exploration and development. Along with the development of the Oil Field, the methods of reservoir prediction also improve a lot. Through analysis of lithology, seismic reflection change in velocity, amplitude, phase, frequency and waveform, which was caused by physical property of the reservoir and the change of the fluid in it, the seismic prediction of reservoir can predict the distribution and the characteristics of the reservoir.Based on the core, the seismic and well logging data, through seismic attribution technique, log-seismic joint inversion and neural network technique, this paper predict the reservoir sand in the south actic region and recognize the favorable zone.Through the core observation of 8 wells, we analyzed the lothologic and log characteristics of the glutinite, make a conclusion of the characteristics of different lithofacies and oil potential. Based on the geologic setting, seismic facies markers and well log response of sandstone, this paper recognized the sedimentary system in the south actic region and its sedimentation model, which is the base of distribution prediction of the reservoir.Based on the data of the well log and seismic, through the analysis of the sedimentary system, we use seismic attribution technique and wave impedance inversion technique to predict the reservoir, which combines geologic information and seismic data. Using seismic attribution root-mean-square amplitude and wave impedance value, we can fix the threshold value of root-mean-square amplitude, contouring the favorable reservoir zone of sand-conglomerate bodies.On the basis of reservoir prediction, we also examined the hydrocarbon potential of this area. Through the neural network technique, using the fixed well as the specimen well, we can get the characteristic parameters (tectonic altitude, amplitude, frequency, etc.). By the calculation of neural network, we can recognize the favorable hydrocarbon bearing zone which is beneficial for the next development.