Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
V.V. Vesselinov, B. Ahmmed, M. Mudunuru, S. Karra, R. Middleton
Geothermics2022DOI 10.1016/j.geothermics.2022.102576
Summary
Discovery of hidden geothermal resources is challenging. It requires the mining of large datasets with diverse data attributes representing subsurface hydrogeological and geothermal conditions. The commonly used play fairway analysis approach typically incorporates subject-matter expertise to analyze regional data to estimate geothermal characteristics and favorability.