The Intelligent Prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration

Mern, John; Caers, Jef

doi:https://doi.org/10.5194/gmd-16-289-2023

Articles | Volume 16, issue 1

https://doi.org/10.5194/gmd-16-289-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-289-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 1

Model description paper

|

11 Jan 2023

Model description paper |

| 11 Jan 2023

The Intelligent Prospector v1.0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration

John Mern and Jef Caers

Data sets

sisl/MineralExploration: Intelligent prospector John Mern https://doi.org/10.5281/zenodo.6727378

Model code and software

sisl/MineralExploration: Intelligent prospector John Mern https://doi.org/10.5281/zenodo.6727378

Short summary

In this work, we formulate the sequential geoscientific data acquisition problem as a problem that is similar to playing chess against nature, except the pieces are not fully observed. Solutions to these problems are given in AI and rarely used in geoscientific data planning. We illustrate our approach to a simple 2D problem of mineral exploration.