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Sxamoecode/Datathon

Domain:

environment and energy

Record type:

project
Creator:
Sxa
Host:
The SPE Data Science and Engineering Analytics Technical Section (DSEATS) Africa Datathon Challenge The SPE Data Science and Engineering Analytics Technical Section (DSEATS) Africa Datathon Challenge presents an exciting opportunity for participants to harness the power of machine learning to address real-world challenges in the oil and gas industry. Organized by the Society of Petroleum Engineers (SPE) Data Science and Engineering Analytics Technical Section (DSEAT) Africa, this dataset is designed to help geoscientists, engineers, data scientists, and energy analysts develop models to predict the existence of oil in unexplored areas based on geological and geophysical factors.