AWS for Industries
Category: Energy
Use your voice with Amazon Alexa to query data in the OSDU platform
Introduction The Open Subsurface Data Universe (OSDU) is a standards-based data platform for the Energy industry, designed to reduce silos and put data at the center of the subsurface community. It defines a standard set of APIs and a standard set of data models towards accessing and representing data in the platform. OSDU on AWS […]
Read MoreAWS for Industrial – Making it easy for customers to scale their industrial workloads on AWS
Increasingly, industrial customers across asset intensive industries such as manufacturing, energy, mining, transportation, and agriculture are leveraging new digital technologies to drive faster and more informed decisions in their industrial operations. ‘AWS for Industrial’ is a new initiative that features new and existing services and solutions from AWS and our Partners, which are built specifically […]
Read MoreMake the most of AWS re:Invent 2020 – Energy Attendee Guide
AWS re:Invent routinely fills several Las Vegas venues with standing-room only crowds, but we are bringing it to you with an all-virtual and free event this year. This year’s conference is gearing up to be our biggest yet and we have an exciting program planned for the Energy industry with five keynotes, 18 leadership sessions, […]
Read MoreSubsurface data management: How to search for data within OSDU on AWS Sandbox
Introduction In the previous blog we explained how to authenticate to your OSDU on AWS sandbox. After you have successfully authenticated, you might want to interact with the data stored on your OSDU on AWS sandbox. This is the second blog post in a series that provides support for getting started with your OSDU on […]
Read MoreOpenVINO™ AMI now available on AWS for accelerating oil & gas exploration
Guest authored by Dr. Manas Pathak, Global AI Lead for Oil and Gas at Intel & Dr. Ravi Panchumarthy, Machine Learning Engineer at Intel — Introduction Convolutional Neural Networks (CNNs) offer State-of-the-art performance not only for traditional computer vision applications but also for seismic interpretation. Geoscientists can use CNNs for basin-wide quick look interpretation of […]
Read MoreHow to find key geoscience terms in text without mastering NLP using Amazon Comprehend
Geosemantics is the application of linguistic techniques to geoscience. Geoscientists often have access to more reports than they can reasonably read so they are commonly challenged in filtering through reports to find relevant information (for example, this report about the Wolfcamp and Bone Spring shale plays. Traditional Natural Language Processing (NLP) techniques such as Named […]
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