# Approaching geoscientific inverse problems with adversarial vector-to-image domain transfer networks

@article{Laloy2019ApproachingGI, title={Approaching geoscientific inverse problems with adversarial vector-to-image domain transfer networks}, author={E. Laloy and N. Linde and D. Jacques}, journal={arXiv: Geophysics}, year={2019} }

We present vec2pix, a deep neural network designed to predict categorical or continuous 2D subsurface property fields from one-dimensional measurement data (e.g., time series), thereby, offering a new way to solve inverse problems. The performance of the method is investigated through two types of synthetic inverse problems: (a) a crosshole ground penetrating radar (GPR) tomography experiment with GPR travel times being used to infer a 2D velocity field, and (2) a multi-well pumping experimentâ€¦Â Expand

#### Figures and Tables from this paper

#### 3 Citations

#### References

SHOWING 1-10 OF 35 REFERENCES

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

- Computer Science, Physics
- Comput. Geosci.
- 2019

Discovering state-parameter mappings in subsurface models using generative adversarial networks

- Computer Science, Physics
- ArXiv
- 2018

Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks

- Physics, Computer Science
- ArXiv
- 2018

Parametric generation of conditional geological realizations using generative neural networks

- Mathematics, Computer Science
- Computational Geosciences
- 2019

Probabilistic neural network-based 2D travel-time tomography

- Mathematics, Geology
- Neural Computing and Applications
- 2020

Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

- Mathematics, Physics
- 2017

Reconstruction of three-dimensional porous media using generative adversarial neural networks

- Computer Science, Physics
- Physical review. E
- 2017

Image synthesis with graph cuts: a fast model proposal mechanism in probabilistic inversion

- Computer Science, Physics
- 2016

Deep-learning inversion: a next generation seismic velocity-model building method

- Computer Science, Physics
- ArXiv
- 2019

Bayesian inverse problem and optimization with iterative spatial resampling

- Mathematics, Geology
- 2010