Reservoir Productivity Prediction Method Based on Seismic Data
Yun Wang · Journal of Oil and Gas Technology · 2007
The development of reservoir geophysical study provided traps for hydrocarbon exploration, and reservoir parameters for oil and gas development. Reservoir productivity was studied by using seismic data, based on the extraction of seismic wave attribute, a neural network train set was established based on known well productivity and well-site seismic wave attribute by using the neural network, the distribution of oil and gas productivity in LG Area was predicted. The result shows that its effect is obvious.