tnwei / geohack2022

APGCE Geohack 2022 post-hack documentation

APGCE Geohack 2022

On Nov 25 to 27, 11 teams of five gathered at Common Ground Bukit Bintang to hack together geo-data science solutions in the span of 48 hours.

Challenge info / Participant handbook

Following is a compilation of the hard work done by all teams in this hackathon! The hyperlinks will take you to the individual team repos.

• Team 1: Interpol: Seismic gathers trace infill
• Team 2: TriloBYTES: Blank seismic infill across offsets using convolutional autoencoders
• Team 3: Banana Leaf: Machine learning for picking formation tops from well logs
• Team 4: LogHacker: Bulk density prediction for well logs
• Team 5: All Is Wells: DTS well log prediction and missing log data imputation, for well logs with similar intervals
• Team 6: Rock Paper Scissors: Formation classification from well logs
• Team 7: Midnight Spirit: Missing trace infill using pix2pix GAN
• Team 8: Milky Way: Well formation top picking
• Team 9: Lucky Stick: Rapid well tops identification tool
• Team 10: To The Sea: Machine learning assisted sonic log and reservoir properties prediction
• Team 11: Run Data Run: Formation top prediction with machine learning