Tuesday, 28 September 2021 10:53

Tech-enabled asset management holds key for oil & gas upstream industry, says GlobalData

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The upstream oil & gas industry is investing heavily in search for new reserves or resource plays, new extraction technologies, and advancements in operational automation. Even though this involves  some risk, tech-savvy businesses understand that today's investment can shower massive returns in the future. Regardless of the asset type, the need of the hour is to implement emerging technologies to optimize oil recovery and maximize output, says GlobalData, a leading data and analytics company.

Abhishek Paul Choudhury, Disruptive Tech Analyst at GlobalData, comments: “Oil & gas companies are increasingly adopting intelligent automation and other digital enablers to synthesize large amounts of data and derive useful insights to ease complex field activities that have defined the upstream value chain. IoT technologies coupled with AI algorithms are in action to screen and discover optimal acreage options, improve subsurface modeling, and enhance drilling performance.”

2017 04 20 114457GlobalData’s latest report, ‘Data is the new oil: how tech transformation can fuel efficiencies in oil & gas’, highlights how oil & gas companies are leveraging emerging technologies to better manage the challenge-laden upstream processes while avoiding risks and generating profits.

Convergence of emerging technologies for predictive asset maintenance

US-based energy company KBC co-launched an AI-powered predictive maintenance system with domestic software company OLI that integrates KBC’s Petro-SIM simulation abilities with OLI Alliance Engine. The combined software solution creates a digital twin, which integrates the IoT and AI of entire assets across the system to help with real-time predictions on corrosion, scaling, and fouling for upstream oil & gas players.

IoT-enabled remote oilfield monitoring

American oilfield equipment supplier ‘Sensorfield’ developed IoT-based remote monitoring solutions to provide real-time, round-the-clock operational data of the oil wells. The solutions were developed to withstand the harsh weather conditions and leverage tech advancements to provide real-time data and alarms for tank levels, pressure and flow rates, compressor health, and location security.

AI-augmented production optimization

Equinor developed a machine learning model to analyze mud-gas data to predict the gas to oil ratio of wells as they are drilled. It is written in python and can be embedded into existing commercial petrophysics software. As it happens in real-time, it can act as an alert system when drillers are tapping into uneconomic pay zones.

Mr Paul concludes: “As global oil & gas operators look to 2022 budgets, they must balance investor expectations to grow volumes and revenues. This can only be mapped with judicious upstream technological adoption that can not only keep downtime at bay but also help explore the function’s true potential to improve yield sustainably while avoiding hazards.”

About GlobalData’s Disruptor Database

Disruptor Database decodes emerging tech-enabled opportunities with must-have information on promising start-ups, technology led innovations, latest sector trends, consumer insights, and venture capital portfolio investments. It helps monitor competitor strategies, predict emerging trends, monetize disruptive innovation, decode smart money, mine thought leadership, and capture digital consumers.

About GlobalData

4,000 of the world’s largest companies, including over 70% of FTSE 100 and 60% of Fortune 100 companies, make more timely and better business decisions thanks to GlobalData’s unique data, expert analysis and innovative solutions, all in one platform. GlobalData’s mission is to help our clients decode the future to be more successful and innovative across a range of industries, including the healthcare, consumer, retail, financial, technology and professional services sectors.

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