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IRAN Energy News Agency
Oil, Gas, Petrochemical and Energy Field Specialized Channel
Oil, Gas, Petrochemical and Energy Field Specialized Channel
Oil, Gas, Petrochemical and Energy Field Specialized Channel

Digital Future for Oil and Gas Industry

The oil and gas industry is facing a new productivity transformation, where digital technologies help companies discover new ways to drive increased efficiency.

Ehsan Sabooniha

Ehsan Sabooniha
Ehsan Sabooniha

Energy Today science and technology reporter

The oil and gas industry is facing a new productivity transformation, where digital technologies help companies discover new ways to drive increased efficiency.

Accenture Team has created a framework to help clients think about how digital technologies will impact their business. It includes the augmentation and automation of both physical and mental processes.

Augmentation technologies such as wearable computing present new and exciting ways for workers to help them make faster, better decisions. While technologies such as head mounted displays and smart watches are improving safety and contributing to process efficiencies, there are a number of challenges that must be overcome for oil and gas companies to realize their true value.

Drone technology is already improving safety in the oil and gas industry by removing the need for workers to operate in high-risk environments. Pipeline surveillance, post-hurricane analysis and flare stack inspections are just some of the ways drones are safely capturing new sources of data.

Data analytics provide a systematic way to make sense of the large volumes of data being collected across the entire oil and gas value chain. This can help predict when a machine will fail, or ensure that resources are in place where needed. Extracting business insights, however, takes the right digital platform and the right talent.

Cognitive systems and machine learning allow decisions to be made automatically, with the help of complex algorithms that can interpret large volumes of data. While this can optimize production and increase safety, the big question is whether oil and gas companies are ready to turn over decisions to a machine.

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Ehsan Sabooniha
Energy Today
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Digital Future for Oil and Gas Industry

The oil and gas industry is facing a new productivity transformation, where digital technologies help companies discover new ways to drive increased efficiency.
Ehsan Sabooniha
The oil and gas industry is facing a new productivity transformation, where digital technologies help companies discover new ways to drive increased efficiency.Accenture Team has created a framework to help clients think about how digital technologies will impact their business. It includes the augmentation and automation of both physical and mental processes.Augmentation technologies such as wearable computing present new and exciting ways for workers to help them make faster, better decisions. While technologies such as head mounted displays and smart watches are improving safety and contributing to process efficiencies, there are a number of challenges that must be overcome for oil and gas companies to realize their true value.Drone technology is already improving safety in the oil and gas industry by removing the need for workers to operate in high-risk environments. Pipeline surveillance, post-hurricane analysis and flare stack inspections are just some of the ways drones are safely capturing new sources of data.Data analytics provide a systematic way to make sense of the large volumes of data being collected across the entire oil and gas value chain. This can help predict when a machine will fail, or ensure that resources are in place where needed. Extracting business insights, however, takes the right digital platform and the right talent.Cognitive systems and machine learning allow decisions to be made automatically, with the help of complex algorithms that can interpret large volumes of data. While this can optimize production and increase safety, the big question is whether oil and gas companies are ready to turn over decisions to a machine.
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