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Search results for: “digital”

  • Industrial robotics companies screen?

    Industrial robotics companies screen?

    This data-file profiles a dozen leading industrial robotics companies. The top five producers account for 60% of the global market, led by companies in Japan and Europe. Although China now comprises half of all industrial robot deployments, and thus Chinese companies are entering the robotics space.

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  • Industrial robot costs: robotic economics?

    Industrial robot costs: robotic economics?

    There are 5M industrial robots deployed globally. A typical example costs $130k to install, does incur costs to run, but displaces 1.3 FTE jobs, saves 50% total costs, and thus achieves a payback of 1.5-years and a project-level IRR of 65%. This data-file captures the economics of deploying industrial robots.

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  • Industrial robots: arm’s reach?

    Industrial robots: arm’s reach?

    5 million industrial robots have now been deployed globally, in an $18bn pa market. But growth could inflect, with the rise of AI, and to solve labor bottlenecks, as strategic value chains are re-shored. Robotics effectively substitute labor inputs for electricity inputs. Hence today’s 18-page report compiles 25 case studies, explores the theme and who…

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  • Cognex: machine vision technology?

    Cognex: machine vision technology?

    Cognex machine vision technology is used to ID products, inspect products, guide robotics and gauge sizes. This data-file reviews 20 case studies, with payback periods typically below 1-year. Increasing capabilities of AI are already extending use cases for these systems. We conclude this trend will continue, and also unlock more demand for industrial robots.

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  • Servo motors: cost calculator?

    Servo motors: cost calculator?

    Servo motors form a $16bn pa market, used in robotics, precision manufacturing equipment, CNC machines, aerospace and med-tech. This data-file estimates the costs of servo-motors, based on underlying controller costs, motor costs and reduction gear costs. Hence we have attempted a simple servo motor cost calculator.

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  • Machine Learning to Optimise Rod Pumps

    Machine Learning to Optimise Rod Pumps

    This data-file summarises progress using machine learning to maximise production from mature wells, by detecting errors and optimising production. There is potential to lower global decline rates by c100kbpd per annum for over a decade, and increase each well’s NPV by $0.1M.

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  • Can technology revive offshore oil?

    Can technology revive offshore oil?

    Can technology revive offshore and deep-water? This note outlines our ‘top twenty’ opportunities. They can double deep-water NPVs, add c4-5% to IRRs and improve oil price break-evens by $15-20/bbl.

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  • Solar+AI: bootstrapping a sci-fi scenario?

    Solar+AI: bootstrapping a sci-fi scenario?

    What if a data center was powered entirely by solar, and then the profits and spare computation resources from the data-center were fully reinvested in building more solar and building more racks? Could you end up with 100TW-scale data-centers?! Would this scenario fail to materialize because we would run out of things to compute? Or…

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  • Johan Sverdrup: Don’t Decline

    Johan Sverdrup: Don’t Decline

    Equinor is deploying three world-class technologies to mitigate Johan Sverdrupโ€™s decline rates, based on reviewing c115 of the companyโ€™s patents and dozens of technical papers. This 15-page note outlines how its efforts may unlock an incremental $3-5bn of value from the field, as production surprises to the upside.

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  • Subsea Robots: the next generation?

    Subsea Robots: the next generation?

    Over 20 next-generation subsea robotics concepts are presented. These electric solutions are increasingly autonomous, they reside subsea and can conduct more thorough inspection/intervention work. Inspection is 2-6x faster, and maintenance costs can be halved, yielding savings of $0.5-1/boe at a typical field. The data-file also summarizes the leading Majors and Service Companies in the space.

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