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ARC has been screaming from the mountain top for some time now that upstream oil & gas can be a large beneficiary of leveraging the benefits of IIoT-enabled solutions such as analytics, machine learning and enhanced communications. Operators, independent E&P firms, and industry stakeholders are desperate to seek solutions that will help reduce costs, increase time to first oil, increase ROP, increase production and recovery rates and improve (or at least maintain) profitability in this “lower for longer” oil price environment. One of the hardest hit areas in the upstream value chain was drilling companies, so it was encouraging to come across information late last year discussing a pilot project between GE and Maersk Drilling.
The two companies have just agreed to collaborate on a technologically advanced data driven pilot project that comprises the first steps in Maersk Drilling’s ambition to reduce customer’s total well costs utilizing sensor data for improved drilling performance and smarter maintenance schemes.
According to chief information officer of Maersk Drilling, Jesper Kjær Hansen, big data projects will play an important part in the future of offshore drilling.
“We are now starting the journey that will eventually bring us to a point where an installation on every rig will gather and analyze data from hundreds of sophisticated sensors as a part of the daily operations. We are beginning to make the industrial internet of things a reality,” says Hansen.
He stresses that the pilot project is the first step in building up a general infrastructure that can be utilized by various vendor solutions and for many purposes based on input from various sensors.
The pilot project has a duration of one year, after which it will be decided whether to proceed roll-out of the big data project to rest of the fleet. The overarching target is to reduce maintenance costs by 20% and increase productivity through enhanced operational efficiencies.
“When building the latest addition to our fleet – the XLE jack-ups and the drillships – we installed various sensors for data acquisition. Those sensors are the foundation of these pilots, and I am eager to harvest the benefits from these investments,” says CTO of Maersk Drilling, Frederik Smidth.
The initial infrastructure tests have been conducted on drillship Maersk Voyager, while the pilot projects are about to be carried out on one of Maersk Drilling’s XLE rigs.
The project seeks to take advantage of the hundreds -- or potentially thousands -- of sensors already in place on the different pieces of drilling equipment. The projects aim to decide precisely how the enormous amount of sensor data on any given drilling rig can be capitalized.
Operational sensor data from critical pieces of equipment like top drive, thrusters, BOP etc. will be connected to a historian. The sensor data will minutely register how the drilling equipment is behaving and is being operated. All in all, 250 different sensor signals are being collected from the drill-floor as a beginning.
“The sensor data will give us a more detailed look into the different sub operations carried out on the drill floor enabling the crew to identify best practices, decrease variance, optimize processes and inherently increase our productivity,” says Kasper Karlsen, Head of Performance Improvement in Maersk Drilling.
The pilot project is part of Maersk Drilling’s ambition to develop smarter and more efficient solutions at a much lower cost level. All with the purpose of helping customers to reduce total well cost to a minimum.
“With this pilot project we are making a proof of concept that we are ready to move from so called calendar based maintenance into sensor triggered maintenance. We have been preparing this for some time,” says Jens Ulrik Gullacksen, head of maintenance & materials.
Predictive maintenance is a project within Maersk Drilling that strives at creating a new maintenance regime that involves moving away from a traditional calendar-based maintenance scheme. Instead Maersk Drilling is moving towards an algorithm-triggered regime where you only replace a particular part when a sensor data analysis warns you that it is wearing out.
Through the project period, the sensor signals from the top drive will be transferred to General Electric’s Industrial Data Center, where the data will be processed by specialized algorithms and analyzed by General Electric’s industrial experts.
ARC will track the progress of this pilot carefully as it believes that success stories such as this and others will only serve to reinforce the real sense of urgency and seriousness among upstream players to leverage IIoT-enabled solutions in to realize operational excellence in the face of compressed prices for oil and gas. The need to develop strong partnerships and ecosystems with companies such as GE will become increasingly vital as this “lower for longer” market potentially exists much longer than most industry participants would want.
The two companies have just agreed to collaborate on a technologically advanced data driven pilot project that comprises the first steps in Maersk Drilling’s ambition to reduce customer’s total well costs utilizing sensor data for improved drilling performance and smarter maintenance schemes.
According to chief information officer of Maersk Drilling, Jesper Kjær Hansen, big data projects will play an important part in the future of offshore drilling.
“We are now starting the journey that will eventually bring us to a point where an installation on every rig will gather and analyze data from hundreds of sophisticated sensors as a part of the daily operations. We are beginning to make the industrial internet of things a reality,” says Hansen.
He stresses that the pilot project is the first step in building up a general infrastructure that can be utilized by various vendor solutions and for many purposes based on input from various sensors.
The pilot project has a duration of one year, after which it will be decided whether to proceed roll-out of the big data project to rest of the fleet. The overarching target is to reduce maintenance costs by 20% and increase productivity through enhanced operational efficiencies.
“When building the latest addition to our fleet – the XLE jack-ups and the drillships – we installed various sensors for data acquisition. Those sensors are the foundation of these pilots, and I am eager to harvest the benefits from these investments,” says CTO of Maersk Drilling, Frederik Smidth.
The initial infrastructure tests have been conducted on drillship Maersk Voyager, while the pilot projects are about to be carried out on one of Maersk Drilling’s XLE rigs.
The project seeks to take advantage of the hundreds -- or potentially thousands -- of sensors already in place on the different pieces of drilling equipment. The projects aim to decide precisely how the enormous amount of sensor data on any given drilling rig can be capitalized.
Operational sensor data from critical pieces of equipment like top drive, thrusters, BOP etc. will be connected to a historian. The sensor data will minutely register how the drilling equipment is behaving and is being operated. All in all, 250 different sensor signals are being collected from the drill-floor as a beginning.
“The sensor data will give us a more detailed look into the different sub operations carried out on the drill floor enabling the crew to identify best practices, decrease variance, optimize processes and inherently increase our productivity,” says Kasper Karlsen, Head of Performance Improvement in Maersk Drilling.
The pilot project is part of Maersk Drilling’s ambition to develop smarter and more efficient solutions at a much lower cost level. All with the purpose of helping customers to reduce total well cost to a minimum.
“With this pilot project we are making a proof of concept that we are ready to move from so called calendar based maintenance into sensor triggered maintenance. We have been preparing this for some time,” says Jens Ulrik Gullacksen, head of maintenance & materials.
Predictive maintenance is a project within Maersk Drilling that strives at creating a new maintenance regime that involves moving away from a traditional calendar-based maintenance scheme. Instead Maersk Drilling is moving towards an algorithm-triggered regime where you only replace a particular part when a sensor data analysis warns you that it is wearing out.
Through the project period, the sensor signals from the top drive will be transferred to General Electric’s Industrial Data Center, where the data will be processed by specialized algorithms and analyzed by General Electric’s industrial experts.
ARC will track the progress of this pilot carefully as it believes that success stories such as this and others will only serve to reinforce the real sense of urgency and seriousness among upstream players to leverage IIoT-enabled solutions in to realize operational excellence in the face of compressed prices for oil and gas. The need to develop strong partnerships and ecosystems with companies such as GE will become increasingly vital as this “lower for longer” market potentially exists much longer than most industry participants would want.