the research consultancy for energy technologies

Search results for: “digital”

  • US shale: the quick and the dead?

    US shale: the quick and the dead?

    It is no longer possible to compete in the US shale industry without leading digital technologies. This 10-page note outlines best practices, process by process, based on 500 patents and 650 technical papers. Chevron, Conoco and ExxonMobil lead our screens. Falling from the leader-board is EOG, whose long-revered technical edge may have been eclipsed.

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  • Decline Rates: the consensus?

    Decline Rates: the consensus?

    Global decline rates are currently seen at 5.2% pa in 2020-25, according to our survey. This is lower than historical consensus of 5.7%. Although shale is a headwind, it may be offset by the rise of new digital and offshore technologies. Hence modestly more participants see 2020-25 oil markets as over-supplied.ย 

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  • EOG’s Digitization: Pumped-Up?

    EOG’s Digitization: Pumped-Up?

    EOG patented a new digital technology in 2019: a load assembly which can be built into its rod pumps: to raise efficiency, lower costs and lower energy consumption (i.e., CO2). This short note reviews the patent, illustrating how EOG is working to further digitize its processes, maximise productivity and minimise CO2 intensity.

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  • Reasons for travel: by purpose and mode of transport

    Reasons for travel: by purpose and mode of transport

    This database disaggregates 1.1trn miles of long-distance travel, by purpose, by transportation type and distance category, as context for COVID-19. c30% of long-distance travel is for business, c10% is commuting and c45% is for leisure. These splits vary markedly across planes, trains and automobiles.

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  • Vestas: where’s the IP?

    Vestas: where’s the IP?

    This data-file aggregates 2,000 patents filed by Vestas and compares them with 15,000 patents filed by competitors. Although other companies have made headlines with larger turbines, we find Vestas may have an edge overall, particularly in the category of operations, monitoring, maintenance and ensuring turbines’ longevity.

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  • Data-centers: electricity use and demand shifting?

    Data-centers: electricity use and demand shifting?

    This data-file estimates data-centers’ electricity use and ability to demand shift. Large data centers how power demand in the range of 50-500MW. Around 40% of their electrical loads can demand shift, to help smooth out the volatility of renewables?

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  • DC-DC power converters: efficiency calculations?

    DC-DC power converters: efficiency calculations?

    DC-DC power converters are used to alter the voltage in DC circuits, such as in wind turbines, solar MPPT, batteries and digital/computing devices. This data-file is a breakdown of DC-DC power converters’ electrical efficiency, which will typically be around 95%. Losses are higher at low loads. We think there will be upside for increasingly high-quality…

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  • What is the energy consumption of the internet?

    What is the energy consumption of the internet?

    Powering the internet consumed 800 TWH of electricity in 2022, as 5bn users generated 4.7 Zettabytes of traffic. Our guess is that the internetโ€™s energy demands double by 2030, including due to AI (e.g., ChatGPT), adding 1% upside to global energy and 2.5% to global electricity demand. This 13-page note aims to break down the…

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  • Groq: AI inference breakthrough?

    Groq: AI inference breakthrough?

    Groq has developed LPUs for AI inference, which are up to 10x faster and 80-90% more energy efficient than todayโ€™s GPUs. This 8-page Groq technology review assesses its patent moat, LPU costs, implications for our AI energy models, and whether Groq could ever dethrone NVIDIAโ€™s GPUs?

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  • Moving targets: molecules, electrons or bits ?!

    Moving targets: molecules, electrons or bits ?!

    New AI data-centers are facing bottlenecked power grids. Hence this 15-page note compares the costs of constructing new power lines, gas pipelines or fiber optic links for GW-scale computing. The latter is best. Latency is a non-issue. Thus AI reshapes the future of US shale, midstream and fiber-optics?

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