Xeek data science challenge and the submission for the team name "not_a_bot".
Please make sure you have all the packages and folder names correct before running the notebooks.
Corresponding challenge details: https://www.xeek.ai/details
Challenge Details Data: bit.ly/minesdata
Office Hours Sign-up: https://calendly.com/mineschallenge/office-hours
In the last several years academia and industry have built several deep learning fault prediction models for seismic volumes. These models are a boon for geoscientists as interpreting all of the faults in a seismic volume is an arduous task that is rarely completed.
However, these models are not a complete solution as the output from them is a fault probability volume, not fault planes which are the unit of interest for geoscientists. Fault planes are used to understand tectonic stress regimes, reconstruct formations, and define trapping elements for hydrocarbon prospects. Until fault planes can be produced, these prediction algorithms will only remain partially useful.
The goal of this challenge is to generate fault planes from a fault probability volume and then analyze them to help geoscientists better synthesize the structural components in the data.
Challenge data can be found at bit.ly/minesdata.
Included in the above package is:
· Synthetic seismic volume and fault probability volume (NumPy format)
· Real data (Australia) seismic volume and fault probability volume (NumPy format)
· Geobodies of faults
Contestants will be given a list of tasks to be completed for the challenge each with their own difficult rating and points for successful completed. Contestants can choose to do as many or as few tasks as their interest and skills allow.
Contestants are required to submit the outputs above as well as a Jupityr notebook that will be run against another fault probability volume. Notebooks should contain thorough and complete documentation.
Python submissions are preferred. If you would like to use a different language, please contact the Xeek team at mineschallenge@xstarter.xyz.
Contestants will be allowed one submission during the Challenge period. Submissions should be emailed to mineschallenge@xstarter.xyz.
| Difficulty (max. 5) | Challenge | Points |
|---|---|---|
| 2 | Fault Metrics | 4 |
| 1 | Stereonet plot of faults | 1 |
| 1 | Unstructured classification | 2 |
| 2 | Fault intersection | 3 |
| 4 | Fault Segmentation - Synthetic | 8 |
| 5 | Fault Segmentation - Australia | 10 |
A panel of three judges will judge each submission on completeness, creativity, and potential to scale.
Each completed task will be given a score of either 1 (completed), 0.6 (partial completion), or 0.3 (earnest start). These scores will be multiplied by the scoring multiple for the task to give an overall score for the task. Scores from all completed tasks will be summed for the final score.
In the case of a tie, the three judges will determine which of the tied teams had the most impressive submission and will consider the following criteria: 1) is an output created?, 2) Does the code describe the contestant's line of thinking in markdown, including future steps if not completed?, and 3) Simplicity and run time of code submitted.
The Challenge will kick off at our launch event on campus on January 24th at 12:01PM MST and will conclude on February 14th at 2:00PM MST.
Registration will remain open until January 31st at 5:00PM MST.
1st Place: $6,000
2nd Place: $3,000
3rd Place: $1,000
One registration per participant
You cannot join the challenge using multiple email addresses. Participants found to be using multiple email addresses will be disqualified.
The maximum team size is 4.
When you register, you must provide email addresses for each of your team members. If you wish to add team members after registering please contact support@xstarter.xyz. Teams can be modified until January 31st at 5:00PM MST.
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-
Deliver the model used to generate the winning Submission and follow the documentation guidelines that will be provided by Xeek. The model will be verified to ensure it produces the expected results. The model must be accompanied by a description or resources required to build and run the code successfully. -
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The overall score of this project was a 2.7142 (4th place) and the unweighted section scores are below:
Fault Metrics: 3
Stereonet Plot of Faults: 3
Unstructured Classification: 2.67
Fault Intersections: 1.67
Fault Segmentation - Synthetic: 3
Fault Segmentation - Australia: 2.67
First place: 3.00
Second place: 2.88
Third place: 2.87
Unfortunately, the winners were not announced and the results not published.