Technology
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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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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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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Machine learning classification model learns complex printability window for inkjet printed polymer films using data from automated formulation and printing system. Authors: Michael Heiber, Ph.D., Manager, Materials Informatics and Frank Longford, Ph.D., Scientific Software Developer The Materials Research Society (MRS) is a global community of materials researchers, built to promote the advancement of interdisciplinary materials…
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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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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” 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 CTO’s Perspective on Gaining Value from AI Author: Didrik Pinte, M.S., CTO AI – Leading While Lagging Artificial intelligence has never been more widely applicable. Given the rapidly increasing rate of data generation, it can be thought of as never so under utilised. Many science-based organizations globally are investing in AI and digital tools,…
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Why has machine learning become so popular? Artificial Intelligence and Machine Learning are a defining feature of the 21st century and are quickly becoming a key factor in gaining and maintaining competitive advantage in each industry which incorporates them. Why is machine learning so beneficial? Because it provides a fast and flexible way to build…
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Solve your toughest challenges, fast. Engineers and scientists all over the world are using Python and LabVIEW to solve hard problems in manufacturing and test automation, by taking advantage of the vast ecosystem of Python software. But going from an engineer’s proof-of-concept to a stable, production-ready version of Python, smoothly integrated with LabVIEW, has long been…
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