Application of probabilistic neural network technique in lithology inversion of seismic data
Shaohong Zhang · Journal of Liaoning Technical University · 2007
In view of the fact that the target reservoir thickness is small and the lateral change of lithology is big, a specific method of probabilistic neural network is used so as to overcome the difficulty of lithology inversion using seismic data in conventional way.The construction of the network model and the steps of prediction are discussed.The probabilistic neural network method is used based on the correlation among the features of logging, seismic attributes and geological lithology characteristics,and it has a good effect in processing the actual data to identify the reservoir lithologic information.The result is has certain guiding significance to the petroleum exploration and development in the survey area.