Predicting oil and gas reservoir and calculating thickness of reservoir from seismic data using neural network
Yin Xing-Yao, Guochen Wu, Fengli Yang · 2002
Neural networks have been developed and widely used in oil and gas exploration. Combining the neural networks with traditional seismic prospecting methods, we put forward a new method to predict oil and gas reservoirs and calculate the thickness of the reservoirs. This method is applied in oilfields and the results are satisfactory.