A predictive method of sandbody thickness in a thin interbedded formation of sandstone and mudstone

摘要

Because the back propagation neural network has high fault-tolerant no-linear and intense pattern discriminating ability, it has been widely applied in predicting of reservoir and hydrocarbon-bearing characteristics. By making the detail preliminary processing of seismic data, 43 seismic attributive parameters can be derived from the seismic attributive parameters, this pattern which is mostly related to the sand body thickness of the objective interval has been selected to act as a applied parameter.