geoscience visualization software
We recommend that you use 3D software to visually QC and interpret your inputs/outputs. One free solution would be OpendTect from dGB Earth Sciences.
TerraNubis also has an OpendTect project built up with the Poseidon dataset where users can download. License: Creative Commons 3.0
What is seismic data?
Seismic data is a record of the interactions of waves with the layers of rocks and materials in the subsurface. In geophysics, we study these interactions to generate an image of the subsurface for hydrocarbon exploration, geohazard mitigation, mineral exploration, etc.
In this competition, you will be using seismic data acquired off the coast of Australia. Your goal is to use the datasets to predict rock properties across the entire seismic volume based on the ground truth data available in the well logs.
AWS Cloud Resources
This competition will require that all final solutions be run in the cloud. Here is a quick training resource on how to train and deploy models using AWS SageMaker. This tutorial will likely go beyond the needs of the competition.
"In this tutorial, you learn how to use Amazon SageMaker to build, train, and deploy a machine learning (ML) model using the XGBoost ML algorithm. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly."
Click here to see the tutorial.
SageMaker: Getting Started
Kyle from AWS explains how to get started with SageMaker in this video. He made it specifically for our competition! He is awesome.
SageMaker: Cloning a Git Repository
Kyle from AWS explains how to clone a git repo to a SageMaker instance in this video. He made it specifically for our competition! He is awesome.
SageMaker: Installing Modules
Kyle from AWS explains how to install dependencies using a requirements.txt file for a SageMaker instance in this video. He made this available for our competition! He is awesome.