The FORCE 2020 Machine Learning Contest with Wells and Seismic

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From July to September 2020 FORCE with help from AGILE will arrange a globally open machine learning contest. We want to find the team that is best at predicting lithology, porosity and the stratigraphy in wells in the North Sea. A curated public dataset is being prepared.

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Submissions are also open to determine the team that builds the best machine learning based fault mapping algorithm for seismic data. Scoring will be carried out by structural geology domain experts

 

Opportunity to Sponsor

We are currently looking for interested companies who are willing to sponsor this high publicity global event. 

  • Gold sponsors (max 3) minimum contribution is 70.000 NOK.
  • Silver sponsors minimum contribution is 25.000 NOK

 

For more information contact: peter.bormann@cop.com

 

The contest will be open from July 10th to September 15th 2020. 

Teams from around the world will be able to access the curated well and the seismic data. Matt Hall and his team from Agile will set up a Kaggle style webpage where people can discuss issues, share ideas and score their current machine learning algorithms against the blind test data. We expect start up and intermittent press releases to relevant web pages and print media. 

At the end of September a one day online seminar will be hosted to announce the winners, show and discuss the results as well as presenting other ML geoscience topics

 

Well log competition

We aim to  provide a curated, qc’ed dataset of 100-150 Norwegian wells with a high quality log suite as well as training labels for lithology, porosity and core porosity. Teams can submit their trained algorithms to scoring webpage where they will be scored against the public wells and a non public hold out set. The hold out set will be published after the competition. 

The three  winning machine learning models and workflows have to be published in full. The final lithology predictions will also be published in full from all participants

 

Fault mapping competition

A seismic dataset for fault detection mapping will be provided. Fault detection can be done using either manual (4 provided labeled lines) or on synthetic seismic training data. Each team can submit only one trained algorithm. Scoring will be on a blind seismic dataset with similar fidelity, structural makeup and signal/noise ratio. For comfort some images of the scoring dataset will be made available upfront. 

The scoring will be undertaken by structural geologist experts. A benchmark seismic fault detection will be provided at the beginning of the competition to show the current state of the art of fault detection on seismic data.

Opportunity to sponsor

Sponsor fund will be used to create a high quality well log and well label dataset that can serve as a reference for future competitions and research around machine learning and well log data. 

To date such a dataset does not exist.

In addition the funds will be used to manage the competition and secure the necessary publicity.

 

Gold Sponsor: >70 000 kr 

  • Logo will be on all the websites and advertising documents
  • Logo will appear at the top of the websites
  • Sponsoring can also be in kind (well data, seismic data)
  • Sponsor names have to cited on all subsequent publications that have used  the created datasets

Silver Sponsor: 25 000 kr 

  • Logo will be on all the websites and advertising documents
  • Logo will appear at the bottom of the websites
  • Will be acknowledged in key publications

 

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Updated: 25/05/2020