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Oil and Gas 4.0 era: A systematic review and outlook
Recently, with the development of “Industry 4.0”,“Oil and Gas 4.0” has also been put on the
agenda in the past two years. Some companies and experts believe that “Oil and Gas 4.0” …
agenda in the past two years. Some companies and experts believe that “Oil and Gas 4.0” …
[HTML][HTML] Big Data analytics in oil and gas industry: An emerging trend
M Mohammadpoor, F Torabi - Petroleum, 2020 - Elsevier
This paper reviews the utilization of Big Data analytics, as an emerging trend, in the
upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a …
upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a …
A systematic review of big data analytics for oil and gas industry 4.0
Big data (BD) analytics is one of the critical components in the digitalization of the oil and
gas (O&G) industry. Its focus is managing and processing a high volume of data to improve …
gas (O&G) industry. Its focus is managing and processing a high volume of data to improve …
A review of modern approaches of digitalization in oil and gas industry
S Al-Rbeawi - Upstream Oil and Gas Technology, 2023 - Elsevier
This paper introduces a review of the modern approaches of digitalization in the oil and gas
industry. The objective is understanding the current applications of the traditional …
industry. The objective is understanding the current applications of the traditional …
Human centric digital transformation and operator 4.0 for the oil and gas industry
Working at an oil and gas facility, such as a drilling rig, production facility, processing facility,
or storage facility, involves various challenges, including health and safety risks. It is …
or storage facility, involves various challenges, including health and safety risks. It is …
A comprehensive review on big data for industries: Challenges and opportunities
Technological advancements in large industries like power, minerals, and manufacturing
are generating massive data every second. Big data techniques have opened up numerous …
are generating massive data every second. Big data techniques have opened up numerous …
Identifying applications of machine learning and data analytics based approaches for optimization of upstream petroleum operations
Over the past few years, machine learning and data analytics have gained tremendous
attention as emerging trends in the oil and gas industry. The usage of modern tools and high …
attention as emerging trends in the oil and gas industry. The usage of modern tools and high …
Electric submersible pump broken shaft fault diagnosis based on principal component analysis
Abstract Electric Submersible Pump (ESP) is currently widely employed to help enhance
production for nonlinear-flowing well with high production and high water cut well. However …
production for nonlinear-flowing well with high production and high water cut well. However …
A Review on Environmental Parameters Monitoring Systems for Power Generation Estimation from Renewable Energy Systems
The transition towards renewable energy sources necessitates accurate monitoring of
environmental parameters to estimate power generation from renewable energy systems …
environmental parameters to estimate power generation from renewable energy systems …
[PDF][PDF] A Comparative Analysis of TimeGPT and Time-LLM in Predicting ESP Maintenance Needs in the Oil and Gas Sector
This research evaluates the application of advanced artificial intelligence models, TimeGPT
and Time-LLM, for predictive maintenance of Electrical Submersible Pumps (ESPs) in the …
and Time-LLM, for predictive maintenance of Electrical Submersible Pumps (ESPs) in the …