Predicting the Geothermal Gradient in Colombia: a Machine Learning Approach

arXiv:2404.05184v1 Announce Type: cross
Abstract: Accurate determination of the geothermal gradient is critical for assessing the geothermal energy potential of a given region. Of particular interest is the case of Colombia, a country with abundant geothermal resources. A history of active oil and gas exploration and production has left drilled boreholes in different geological settings, providing direct measurements of the geothermal gradient. Unfortunately, large regions of the country where geothermal resources might exist lack such measurements. Indirect geophysical measurements are …

abstract arxiv case colombia country cs.lg energy exploration gradient history machine machine learning oil physics.geo-ph production resources type