Total and INT have recently announced a long-term corporate agreement that will give Total access to INT’s GeoToolkit, the most widely adopted JavaScript-based data visualization technology software in Oil and Gas. Total will also be able to take advantage of IVAAP, one of the leading Data Visualization software platforms for digital subsurface projects deployed in […]
Uncategorized
A Brief Demo of Machine Learning Applied to Subsurface Data in the Cloud
Over the last few months, there have been a lot of activities and discussions with upstream majors on how to make subsurface data easier to search and discover and how to automate some of the geophysical and/or petrophysical workflows. This process has typically been very challenging. From a user experience perspective, the ideal scenario would be to do this from one system versus doing this very manually from current siloed applications. We’ve been able to do this successfully here at INT.
How to Empower Developers with à la Carte Deployment in IVAAP Upstream Data Visualization Platform
IVAAP was not just meant to be a web application “built for purpose”—we wanted it to be a platform that customers can extend on their own. With this goal is mind, the first component that we picked for IVAAP’s architecture was a “lookup” system. This system makes IVAAP easy to learn, yet versatile, and devops appreciate that they can leverage it when a fast turnaround is needed.
Enterprise Data Visualization: A Critical Component of Your E&P Digital Platform
Traditionally, the oil and gas sector has been slower than other industries to adopt new software and technology. When the market is doing well, companies have little time or motivation to invest in change. When the market is bad, companies lack the appropriate resources and budget. Since 2015, the oil and gas sector has experienced significant changes. An aging workforce, low oil market price, and the pressure to transition to cleaner energy are among the many factors forcing the Exploration and Production industry to rethink how it works, recruits, trains, and operates in order to stay in business.
How to Improve Performance and Reduce Latency of Your Geoscience Data
Storing and accessing large, sometimes sensitive geoscience data is one challenge many top E&P companies face. Local data storage is one option. But what about data that is not stored locally? How do you access it quickly, and can you still use INTViewer?
Bridging the Gap Between Business and IT: Visualization Architecture in the Digital Oilfield
In our latest Tech Talk, E&P Visualization in the Cloud, we featured IVAAP, our cloud-enabled visualization and analytics development platform. We showed how it can be used to monitor and analyze well data as a critical part of your digital transformation. Thierry Danard, our VP of Core Platform Technologies, presented some of the technical aspects of IVAAP, so we asked him a few questions after the talk to dig a bit deeper.
Live Completion Is Better than AutoCompletion
A major feature of INTViewer 5.2 is the Python integration. Our development team worked very hard to ensure that our customers can get started easily and be productive once they are hooked. One consistent user feedback was that the Python terminal lacked autocompletion. It could become tedious to have to type the full name of each class, each method or each variable. We took this feedback to heart and implemented autocompletion in INTViewer 5.2.
