| 摘要 |
A neural network to predict seismic streamer shape during seismic operations having an input layer, an optional hidden layer, and an output layer, each layer having one or more nodes. The first layer comprises input nodes attached to seismic data acquisition operational parameters as follows: vessel coordinates, receiver coordinates, time, vessel velocity, current velocity, wind velocity, water temperature, salinity, tidal information, water depth, streamer density, and streamer dimensions. Each node in the input layer is connected to each node in the hidden layer and each node in the hidden layer is connected to each node in the output layer, the output layer outputting a predicted cable shape. The layer maybe omitted. When the hidden lay is omitted, each node in the input layer is attached to each node in the output layer.
|
