Welcome to our Digital Corner! A lot is happening in the EAGE digital world: on this page you can find some highlights from the latest initiatives on machine learning, A.I. and digitalization involving EAGE members worldwide, in addition to new contributions on the topic of Artificial Intelligence by the EAGE A.I. special interest community every week.

Sign up to receive the EAGE Digital Newsletter

 

Coming soon

On 14-17 July 2020 you are invited to take part in the Practical Session Week + Hands-On Session "Open tools for advanced data science in exploration", which complements the programme of the EAGE First Online Conference on Machine Learning in Latin America. Practical sessions intend to offer delegates the opportunity to develop new skills for the Digital Transformation era by providing data foundation, materials and documents that then will be applied in a real scenario case. 

 

On 2 July 2020 EAGE Local Chapter Netherlands organized an online event on 'Artificial Intelligence in Oil & Gas" featuring the following talks:

- Machine learning in seismic data processing by Dr Paul Zwartjes (Senior Research Geophysicist, Aramco)
- From super human performance in games to augmented decision making in the real world by Mr. Norbert Dolle (Managing Partner, WhiteSpaceEnergy)

The recording this this event will soon be shared in the community groups of Local Chapter Netherlands and EAGE A.I.
Join EAGE communities to learn about upcoming initiatives and access more resources!

The EAGE Interactive Online Short Courses (IOSC) are a new format. They bring carefully selected programme by experienced instructors from industry and academia online to give participants the possibility to follow the latest education in geoscience and engineering remotely. The courses are designed to be easily digested over the course of 2 or 3 days. Participants can interact live with the instructors and ask questions. 

On 24-25 September, you can sign up for a IOSC on "Machine Learning for Geoscientists with Hands-on Coding" by Dr. Ehsan Naeini. This two-day training allows participants to ask live questions, network with the instructor and the other attendants as well. Definitely, a co-creation environment!

Learn more about upcoming courses.

 

 

News from the EAGE A.I. Community

The A.I. Committee aims to share tips, techniques, learning experiences and whatever else is of interest to stay informed and up to speed with this emerging field. We also want geoscientists to maintain their employability throughout the many reorganization cycles when the world requires different skills than those taught to many of us technical experts and generalists while in university.

Learning A.I.

To get started, the focus naturally falls on learningIf you have been looking for the right entry, here are three (free) courses for you to consider:

Resources Level 
AI For Everyone  Beginner 
Practical Deep Learning for Coders, v3 Intermediate 
UVA Deep Learning Course  Advanced 
Staying up-to-date with A.I.

This week's focus is on staying up-to-date with the rapidly moving field of AI.
"Two-minute papers" is a video podcast series that aims to distill the hottest and most fascinating research in the field of computer vision and machine learning into a format accessible for everyone. The artificial intelligence podcast by Lex Friedman is an excellent resource for interviews with researchers around the field of AI and machine learning. Arxiv-sanity preserver is your one-stop-shop to the world of AI and machine learning preprints, where the most recent publications from the ArXiv can be found in one place.

Resources Level 
Two-minute Papers Beginner 
The Artificial Intelligence Podcast Intermediate 
ArXiv Sanity Preserver Advanced 
The pandemic and A.I.

The coronavirus outbreak put us in unprecedented times. This week we take a special look at the role A.I. can play in battling the pandemic as well as transforming the healthcare practice. Check out the latest issue of Nature Machine Intelligence for a general read about the potential advantages and challenges of deploying A.I. in the pandemic. With no prior medical expertise required "A.I. for Medicine Specialization" teaches how to apply A.I. tools to medical diagnosis, prognosis and treatment, including working with 2D and 3D medical image data. You can obtain open dataset, share code and models, and enter competitions on the largest machine learning community Kaggle to join the battle against Covid-19 as an A.I. practitioner.

Resources Level 
A path for A.I. in the pandemic Beginner 
AI for Medicine Specialization Intermediate 
Kaggle ML Community Advanced 
A.I. - Give it a go, it won't bite

If you haven’t had a go before – try it, get your hands (digitally) dirty. You can play without breaking anything (or in some cases even without installing anything). It can help you understand what’s possible. It can help at work, in your AI studies or across the rest of your life. Thankfully these days you don’t have to be a coding supremo to take those first steps. Much of the AI world is moving towards ‘low-code’ or even ‘no-code’, so you can do some pretty impressive AI stuff without leaving the comfort of a friendly app, whether that be on your phone or laptop. Below are a few cool places where you can start exploring the art-of-the-possible – hopefully it will inspire you and be fun, enjoy!

Resources Level 
AI Experiments with Google Beginner 
Machine Learning Experiments with GitHub Beginner to Intermediate 
Anaconda, incl. Orange (no code),
Jupyter, Spyder (Python)
& RStudio (low to high code)
Beginner to Advanced 
Hands-on A.I. exercises

A hurdle for many wanting to gain hands-on experience with AI is setting up a development environment - hours of frustration trying to install Python on Windows, we have all been there! Google's CoLab provides an online Jupyter-like environment with FREE GPU resources where you can experiment to your heart's content. Whilst Google has already provided a number of data science tutorials, one of the great benefits of CoLab is it is possible to open any .ipynb file. Whether you are looking at csv files, images or jumping right into manipulating segy data, there are hundreds of geoscience-specific examples sitting in open GitHub repositories. Here are three notebooks to get you started:

Resources Level 
Analysing thin section compositions Beginner 
An image segmentation example from the
TGS salt detection Kaggle competition
Intermediate 
Seismic inversion on the Volve dataset Advanced 

 

For more inspiration, make sure to check out this month's issue of First Break - Special Topic "Machine Learning".
First Break is temporarily offered open access, including technical content and industry news.

 

More opportunities and news are shared within the A.I. community in LinkedIn: join to hear first-hand about upcoming initiatives and get involved!

Questions? Ideas? You can always reach us at communities@eage.org

Join on LinkedIn