artificial intelligence

The company says its curated service aims to connect energy professionals, developers, and partners to discover, deploy, and scale trusted AI agents, domain models, and digital applications.

This paper proposes a novel, real-time pump failure prediction method using machine learning with scaled load ratio to accurately predict pump failures using only surface pump load data.

The deployment of a new heavy-duty robotic system aims to reduce workforce exposure to high-risk areas while improving detection of potential leaks.

Aramco says it has saved $770 million over the past 3 years from the $70 million it has invested over the same period in corrosion management technologies.

The deal adds physics-based reservoir modeling and real-time decision workflows to SLB’s digital portfolio.

Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.

This study explores the use of autoencoder models with convolutional neural networks to present a framework and prototype for early and accurate kick detection during offshore oilwell drilling.

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.

The acquisition establishes a unified North American upstream analytical data set with the goal of streamlining capital allocation decisions.

This paper presents the first global application of autonomous drilling in deepwater and the journey to reach optimal drilling parameters, integrating proprietary tools from the project’s business partners.