Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-289-2023
https://doi.org/10.5194/gmd-16-289-2023
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

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Latest update: 25 Feb 2024
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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.