data analytics

Intelligent Wellhead Systems and ProFrac Services say the new method simplifies and streamlines data transfer during hydraulic fracturing.

This paper presents efforts to reduce greenhouse-gas emissions and increase energy efficiency through the use of a real-time monitoring tool on exploration and production operated assets.

The chief operating officer of Chesapeake Energy tells the Unconventional Resources Technology Conference that small wins can pave the path to big achievements.

The Norwegian major agrees to use Seeq’s software in an effort to maximize production and enhance efficiency across its assets.

This article explores the implementation of artificial intelligence vision for leak monitoring automation in the oil and gas industry and its role in improving safety standards, operational efficiency, and environmental performance.

This study proposes a hybrid model that combines the capacitance/resistance model, a machine-learning model, and an oil model to assess and optimize water-alternating-gas (WAG) injectors in a carbonate field.

The companies are combining their technologies in an effort to help upstream oil and gas operators monitor, report, and reduce emissions.

Heightened focus on methane emissions management spurs a new conceptual framework to aid in determining the duration of detected methane emissions, data that may be useful to stakeholders responsible for measurement-informed emission protocols.

In the pursuit of sustainable industrial operations, three pivotal objectives emerge: risk reduction, safety assurance, and cost minimization. Integrating these objectives into digital transformation strategies enables operators to effectively manage emissions and achieve success.

The 2023 Offshore Energy Digital and Data Maturity Survey report aims to deepen understanding of how organizations are applying data and digital technologies to help transform the UK energy system to achieve net zero targets.