> For the complete documentation index, see [llms.txt](https://smousavi05.gitbook.io/mlseismology/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://smousavi05.gitbook.io/mlseismology/seismological-tasks/seismic-deconvolution.md).

# 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.