Seismic Deconvolution

The removal of source effects. It is an important pre-migration data processing tasks.

Used ML Approaches:

• Artificial Neural Networks

Used Neural Networks:

• RNN

Used Learning Procedures:

• Supervised Learning

References:

1. Calderón-Macías, C., Sen, M. K., & Stoffa, P. L. (1997). Hopfield neural networks, and mean field annealing for seismic deconvolution and multiple attenuation. Geophysics, 62(3), 992-1002.

2. Harrigan, E., Kroh, J. R., Sandham, W. A., & Durrani, T. S. (1991, November). Seismic wavelet extraction using artificial neural networks. In 1991 Second International Conference on Artificial Neural Networks (pp. 95-99). IET.

3. Wang, L. X., & Mendel, J. M. (1992). Adaptive minimum prediction-error deconvolution and source wavelet estimation using Hopfield neural networks. Geophysics, 57(5), 670-679.