Data & Analytics
Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.
A discussion at the inaugural executive breakfast convened by the SPE Data Science and Engineering Analytics Technical Section, held alongside CERAWeek by S&P Global and powered by Black & Veatch, tackled the challenge of value creation from artificial intelligence in the energy industry.
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
-
Companies should disclose instances of cyber-enabled intellectual property theft. Disclosure requirements would give companies greater incentives to protect their intellectual property and allow investors to make better-informed decisions. -
The organization said the new standard, which focuses on air safety and data protection, is the first step in a wider move to promote the use of drones within a framework of approved regulatory compliance.
-
Rovco’s stereo camera technology system sends images and 3D models of assets from the seabed to computer browsers in any location, offering users instantaneous access to information during inspection or construction.
-
The two main takeaways from this paper: First, it underscores the difference between explainability and interpretability and presents why the former may be problematic. Second, it provides some great pointers for creating truly interpretable models.
-
To make sure deep learning meets its promise, we need to reorient research away from state-of-the-art accuracy and toward state-of-the-art efficiency. We need to ask if models enable the largest number of people to iterate as fast as possible using the fewest amount of resources on the most devices.
-
The media is often tempted to report each tiny new advance in a field, be it artificial intelligence or nanotechnology, as a great triumph that will soon fundamentally alter our world. Occasionally, of course, new discoveries are underreported.
-
In an increasingly data-dependent sector, oil and gas companies need to scale up their use of technology across the enterprise rapidly. Success will involve reframing the CIO’s role in driving not only digital transformation but also business outcomes.
-
Unless we work together to resolve the underlying causes of data problems, we will continue to struggle with the time and effort needed to get the foundations of data preparedness sorted out. That means that industry must accept that data is strategic rather than tactical.
-
Rather than waiting for a dominant player to emerge, the oil and gas industry is at a point in its journey with blockchain where it makes sense to actively start working toward common architectures and standards in the blockchain domain.
-
The complete paper describes the development of a smart robotic inspection system for noncontact condition monitoring and fault detection in buried pipelines.
