automation
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SponsoredWith an intense focus on improving returns and cash flow, oil and gas producers need step-change improvement in managing production versus plan. Embracing AI is critical to overcoming today's tools that largely fall short of achieving that ultimate goal.
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Digitalization and automation successes are here to stay. Instead of making small incremental steps in well construction operations, allowing disruptive shifts can lead to tangible performance gains in efficiency, safety, and well integrity.
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Forced to tighten their belts financially by the coronavirus pandemic, businesses are increasingly using software that automates back-office tasks. The idea, of course, is for companies to save money by reducing the number of workers they need to handle clerical work.
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Artificial intelligence can do some things faster and better than humans can. But that may allow engineers to focus on higher-value tasks.
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Digital advances allow computers to do many of the tedious tasks once done by engineers, which frees them to focus on more interesting tasks.
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This paper presents lessons learned regarding design, testing, and installation of a completely integrated managed-pressure-drilling (MPD) control system on a deepwater drilling rig.
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Moving their directional drillers into their Houston real-time remote operations centers has improved drilling efficiency for two of the top shale producers.
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Marathon Oil says its shale fields are producing more oil and gas with less hands-on work from company personnel thanks to a growing arsenal of digital technologies and workflows.
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Adoption of digital technologies will continue to improve the offshore sector, including improved well efficiency, real-time directional drilling, lower maintenance costs, and safer operations.
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Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.