Skattefunn for AI-supported inversion of marine CSEM measurements

Offentlig prosjektsammendrag

Controlled source electromagnetic (CSEM) data are used to image the resistivity properties of the subsurface. The technology has developed significantly the last 20 years, with several applications in the petroleum industry, marine mineral mining, freshwater mapping and geotechnics. The main obstacle for the use of CSEM is the ambiguity in the results, the measurements must be modelled to represent the 3D geobodies. Several models may satisfy the measurements, and the end users of the results are often left with a lot of uncertainties. We propose to combine the CSEM technologies with the recent developments in Artificial Intelligence (AI) technologies, as we see great potential for improvements in the inversion and modelling of CSEM data using AI methods in a novel workflow. The advantages of using AI in modelling of CSEM data lies in finding relationships outside the equations. Shorter computation time will also provide cost effective and quicker results, allowing for more alternative models to be tested. Our aim is to estimate and present uncertainties instead of "the model" and in this way improve decision making.