Explore Challenges and join easily to openings that match your skills and expertise.
Build the most profitable agent in a complex world
$60,000
150 teams
Complete the volume within a volume
$50,000
226 teams
Help Scrooge save on their Holiday electricity bill
$30,000
195 teams
Segment and classify kerogen macerals in reflected light polished sections
296 teams
Find unique patterns in time series data
387 teams
AI at the speed of sound
386 teams
Unsupervised Segmentation of thin section images
$25,000
110 teams
Robust prediction in unpredictable systems
$20,000
359 teams
Discover new demand response frontiers
$15,000
170 teams
Register the points on a crossplot
$0
76 teams
The first of three challenges to investigate the future of electrification
234 teams
Identify horizons in seismic data
225 teams
Progressing the “From One to Many” challenge
$40,000
164 teams
Find small features on satellite imagery
134 teams
Using one scientific discipline to help another
147 teams
Erode the ordinary, and uncover the extraordinary
303 teams
This challenge will have you use rock radioactivity measurements to identify which body of water created them.
14 teams
The goal for this challenge is to find the real world coordinates (i.e. georeference) for map images.
0 teams
Create a flexible model that can characterize steam growth in reservoirs using data from the South Belridge Field
165 teams
Customize a Generative AI model
111 teams
Restoring a seismic image one vertical slice at a time
143 teams
A seismic jigsaw puzzle
139 teams
Denoise subsurface seismic images
241 teams
Mapping faults in the subsurface
307 teams
Generate an agent-based model that mimics fluid movement in the subsurface
73 teams
This challenge seeks new and fun ways to visualize geoscience data The sky's the limit on this competition; you can pick from several data types and any language to build a novel way to explore the data. The more imaginative you get, the better!
78 teams
Classify buildings based on their load profile curves
305 teams
This challenge will help you learn how to use Python to work with geoscience data. The tools will be simple to understand and research but have practicalities with real data and provide a foundation for further learning and growth.
$2,000
224 teams
Builds the best machine learning based fault mapping algorithm for seismic data
80 teams
Create a machine learning model that has the highest accuracy in prediction lithology from a suite of wireline logs. A training dataset with hand interpreted and QC’ed wellbore lithology is available
329 teams
A quick challenge on identifying the values of axes from old cross plots
99 teams
Uncover and extract text on old crossplots
125 teams
Locate the Legend in old crossplots for extraction
Build the most profitable agent in a somewhat complex world
58 teams