Category: Energy

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

Guest authored by Eric Griffith, Digital Oil Field Division Manager at PDS Overview Oil and gas operators want their data scientists to run AI/ML workloads on Wellsite Information Transfer Markup Language (WITSML) data to extract more value from it. WITSML is an oil and gas industry data exchange standard in widespread use for delivering real-time […]

Introduction Data is fueling subsurface innovation, yet getting the data into a format that enables novel analytical approaches and enables end users to focus on using novel data insights to solve problems is a key challenge.  The Open Group OSDU™ Forum is developing a standard data platform for the oil and gas industry, which will […]

Large industrial enterprises in manufacturing, oil and gas, and electric transmission and distribution collect operational technology (OT) data from millions of sensors. Much of this valuable data remains unused sitting in historians with 80% of the world’s largest oil and gas companies and 65% of the industrial companies in the Fortune 500 relying on the […]

OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device. Problem Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, […]