IN THE INDUSTRY
Schlumberger Plans To Join the Open Subsurface Data Universe
The service company said it will make its data ecosystem available to the platform that is designed to bring together exploration, development, and wells data from across the industry. This will allow Schlumberger to integrate its solutions with its clients who have already joined the platform.
Drone Service Firms See Continued Success in the Oil Field
Tw firms have announced new partnerships to perform unmanned-aircraft-systems-based missions for oil and gas clients in the US and abroad.
Digitalization Drives Sustainability and Financial Performance for Equinor
Equinor is using its digital transformation to be more sustainable. “It’s not just about running a smarter business," said Bjorn Otto Sverdrup, Equinor's senior vice president of sustainability. "It’s also about running a more sustainable business.”
Statistical Modeling vs. Machine Learning: What’s the Difference?
At times, it may seem that machine learning can be performed without a sound statistical background, but this does not take in to account many difficult nuances. Code written to make machine learning easier does not negate the need for an in-depth understanding of the problem.
IBM Reveals New Hack To Infiltrate Corporate Networks
Nicknamed “warshipping,” the hacking technique allows remote infiltration of corporate networks by hiding a remote-controlled scanning device designed to penetrate a wireless network inside a package.
Photogrammetry Offers a Snapshot of a Digitalized Future
Photogrammetry—stitching together images to create photorealistic 3D models—can be part of a larger industrial digitalization strategy that aims to liberate data from its silos, connect it to other relevant information, and make it available to the workers who need it.
Gazprom Neft Develops Supercomputer To Simulate Siberian and Arctic Fields
The Russian company has built a computing cluster in St. Petersburg designed to generate digital twins of oil fields. The new distributed-computing system is capable of processing more than 100 gigabits per second, speeding up the digital-modeling process five-fold.
Establishing a Drone Business With the FAA's Part 107 in Oil and Gas
Drones have entered the oil and gas domain as a more comprehensive method of inspection—providing not only a flexible and cost-effective way to conduct inspections but also a data-intensive structure for inspecting assets in a nondestructive manner.
Machine Learning Can Make Mooring Safer and More Cost Effective
Concern has been growing in the oil and gas industry about the high frequency of mooring line failures. While physical tension sensors can be difficult and costly to maintain, machine learning has shown to be a more-accurate and less-costly method for structural integrity assessment.
Upstream Sector Emerges as the Epicenter for Industrial Internet Adoption
The upstream sector is witnessing comparatively more implementation of the industrial Internet of things compared with other sectors of the oil and gas industry. This is driven by the need to reduce risk and maximize returns through digitalization, according to data and analytics company GlobalData.
Decentralized and Collaborative AI: How Microsoft Research Is Using Blockchains To Build More-Transparent Machine-Learning Models
Recently, AI researchers from Microsoft open-sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine-learning models based on blockchain technologies.
Column: The Death of Big Data and the Emergence of the Multicloud Era
The era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multicloud support, machine learning, and real-time analytics.
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08 August 2019
01 August 2019
14 August 2019