Energy

Giving Visibility to Renewable Energy

Oct 6, 2021

The ultimate project goal of EnergizAIR Infrastructure was to raise individual awareness of the contribution of renewable energy sources, and ultimately change behaviors. Now ten years later, with orders of magnitude more data, AI/machine learning, cloud, and smartphones in the hands of individuals, this is an idea whose time has come. Author: Didrik Pinte, M.S.,…

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AI Needs the ‘Applied Sciences’ Treatment

Jun 30, 2021

As industries rapidly advance in AI/machine learning, a key to unlocking the power of these approaches for companies is an enabling environment. Domain experts need to be able to use artificial intelligence on data relevant to their work, but they should not have to know computer or data science techniques to solve their problems. An…

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Lessons for Geoscientists from the book Real World AI: A Practical Guide for Responsible Machine Learning

Jun 23, 2021

In this blog article Enthought Energy Solutions Vice President Mason Dykstra looks at the recently published book titled “Real World AI: A Practical Guide for Responsible Machine Learning” in the context of both the technical challenges faced by geoscientists and how to scale. Author: Mason Dykstra, Ph.D., Vice President, Energy Solutions  In the newly released…

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FORGE-ing Ahead: Charting the Future of Geothermal Energy

Jun 23, 2021

A microseismic event loaded from the Frontier Observatory for Research in Geothermal Energy (FORGE) distributed acoustic sensing (DAS) data into a Jupyter notebook showing energy from a microseismic event arriving at about 7.5 seconds. These microseisms bring information about the process of stimulation. However, in the data set there are relatively few and they are…

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Geophysics in the Cloud Competition

Mar 24, 2021

Join the 2021 GSH Geophysics in the cloud competition. Build a novel seismic inversion app and access all the data on demand with serverless cloud storage. Example notebooks show how to access this data and use AWS SageMaker to build your ML models. With prizes. Author: Ben Lasscock, Ph.D. Geophysics in the Cloud Competition The…

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SEG 2020 Attendees Asked. We Answered.

Oct 15, 2020

In an example away from seismic, this shows a thin section, where machine learning techniques can be applied across multiple images, ones previously unused due to the significant demands of expert time, and difficulties in organizing and sharing data. See a demo at: https://www.enthought.com/industries/oil-and-gas/core-analysis/ Author: Brendon Hall, Ph.D., Director, Energy Solutions   The SEG 2020…

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Deep Learning Can Now Interpret Seismic the Way Experts Do

Oct 14, 2020

The SubsurfaceAI custom deep learning application for seismic allows experts to annotate data, identify sequences and, in this example, define a fault complex. This forms the basis of a workflow that allows a seismic expert to apply deep learning to ‘interpret the way experts do,’ creating bespoke models for seismic interpretation.  Author: Ben Lasscock, Ph.D.…

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You see, but you do not observe.

Sep 12, 2020

“You see, but you do not observe” is a quote by Sherlock Holmes in A Scandal in Bohemia (1891, written by Sir Arthur Conan Doyle). Holmes referred to himself as a ‘consulting detective’. Sketch by Mason Dykstra. Author: Mason Dykstra, Ph.D., VP Energy Solutions Wavelets are for Watson (The Doctor; Not IBM)  When was the…

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A Dual Strategic Challenge in Energy

Jun 23, 2020

An AI-based assistant gives energy company geoscientists the ability to quickly visualize and analyze hundreds of CT scan images. Visualization, image analysis, and AI/machine learning techniques are increasingly areas of innovation and value for science-driven businesses. Shown here, a thin section classification tool with analogues in multiple other science-driven industries.  A Dual Strategic Challenge in…

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Small Data, Big Value

Apr 21, 2020

Small Data, Big Value Author: Mason Dykstra, Ph.D., VP Energy Solutions  Enthought welcomes Mason as VP, Energy Solutions, whose background from Anadarko, Statoil, and as a professor at the Colorado School of Mines qualifies him to make the case for ensuring ‘Small Data’ is equally part of the Fourth Industrial Revolution. The first in a…

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