5 Ways To Apply Subsurface Experience To Reduce The Impact Of Climate Change

Is a lack of specific experience in the non-traditional energy sector holding you back from new opportunities?

Are you able to quickly access the data you need to review potential and related risk for new areas?

Is lack of data integration across your operations and subsurface teams holding you back from better decision-making?

Can you confidently monitor your reservoirs and identify both local and global potential that could impact your choices?

Navigating these questions can be overwhelming. Download this whitepaper to gain knowledge on how traditional oil and gas experiences can tackle climate challenges.


Download the Whitepaper

Tell us where to send your copy!

Stop owls...

I’d like to address the owl ornament epidemic in my house. Yes, you read that right – it's time to tackle the growing collection of owl shaped things...

Read More
Discover the role of feature selection in machine learning for petrophysics and how optimising input data can enhance predictive capabilities.

Webinar: Introducing Experienced Eye - An Automated Feature Selection Tool for Machine Learning

Webinar Details

Join Andy McDonald, IP Product Manager for AI, Machine Learning and Python at Geoactive Limited in Aberdeen, as he introduces...

Read More
Machine Learning in Petrophysics, Feature Selection for Machine Learning

The Importance of Feature Selection for Machine Learning in Petrophysics

When planning and building machine learning models, a question often asked is, “What features should I use as input to my model?”. 

Read More