At DIG we aim to deepen our understanding of the subsurface, which will continue to be our main source of energy for the years to come, from clean gas resources to geothermal, all the way through to carbon storage.

We will continue our endeavours in contributing to the development of processing, imaging, and inversion geophysical algorithms which will help geoscientist to make more informed decisions.

We believe that with the help of deep learning we can enrich some of our existing geophysical technologies and solve long-standing issues in the solution of very ill-conditioned inverse problem in a variety of geophysical and related applications.