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Maximizing prescriptive analytics to reach sustainability
Organizations seeking to retain prescriptive information and use it for future events can store this data directly in a self-service advanced analytics solution.
Advanced analytics improve process optimization
Success stories show how advanced analytics software is used to create insights and improve process efficiency. See three use case examples.
Federal blue hydrogen incentives have uncertain future
Decades of carbon capture experiments with oil, gas and coal missed targets and sources of emissions
Oil & Gas Engineering September 2021 issue
Oil & Gas Engineering targets engineers responsible for business-critical functions, technology and processes from the wellhead to the refinery. These professionals design, specify, implement, upgrade and maintain equipment in the areas of automation, process management, cybersecurity, asset management and worker safety.
How to expand analytics capabilities
Increasing adoption of analytics bridges the gap between process experts and data scientists, encouraging manufacturing collaboration
Rolling out remote IoT monitoring of wells
Hiber to deliver well-integrity monitoring solutions for energy giant Shell; HiberHilo solution improves well safety and sustainability
The common denominator that analytics hinge on
Identifying efficiencies in exploration and production is paramount for recovery and competitiveness
Tapping into the data well
How self-service analytics contribute to asset reliability and operational performance
Self-service analytics support asset reliability and operational performance
Case study examples demonstrate real world value
Analytics use case examples demonstrate uses, benefits
Search for improved data use to address industry challenges
Remote monitoring of blowout preventers improves operations
BOP system tester uses analytics software to help its oil & gas clients avoid downtime and incident
Active analytics can drive better business decisions
With a GPU-accelerated database, organizations evaluate larger data sets.
Optimizing asset performance in refineries
Advanced analytics use machine learning to simplify user experience, generate process data insights.
Predictive analytics in the upstream introduced as a service
Solution identifies production and equipment problems before they become apparent.
Basic steps to take when applying analytics processing
Upstream oil & gas operations improved using data analytics.
Global low-voltage motor market bounces back
Oil & gas revenue increases lead 4% sector growth according to a report from IHS Markit.
Implementing a cybersecurity strategy for cloud-based SCADA
It’s critical to have the proper framework and cybersecurity measures in place to help prevent cyber attacks for cloud-based deployments of supervisory control and data acquisition (SCADA) systems.
Oil and gas cybersecurity not keeping pace with technology developments
A research report by Ponemon Institute indicates that while oil and gas cybersecurity is strong, the industry is note keeping pace with technology developments and their cyber readiness is not high.
Drilling analytics for integrating data
By integrating seismic, geological, and engineering data, Seismic-Based Analytics workflow identifies the most prospective areas and zones for drilling down to the stage level.