This data-file screens for the technology leaders in fiber-optic cables, which are crucial for the digitization of industries and the world’s structural shift towards remote-working.
The file starts by tracking 37,000 patents filed into fiber optic cabling, where the pace of research has risen at a 14% CAGR since 2009, with 75% of 2019’s patents filed in China and 18% in the US.
The 2019 data are shown more granularly in the ‘2019’ tab, aggregating descriptions of 4,000 patents and the companies behind them.
From these patents, we identify and evaluate the largest listed companies in fiber-optics, including a helpful profile of each company, their revenues, and the percent of their revenues from fiber-optic cables.
Online retail could structurally accelerate by c9% due to the COVID-19 crisis, as is projected in this model. A full breakdown of inputs and underlying data are included. Individuals that work from home tend to make c63% more online retail purchases than in situ workers.
We quantify the economic benefits of working remotely between $5-16k per employee per year, as a function of income levels, looking line-by-line across time savings, productivity gains, office costs and energy costs. The model allows you to flex these input assumptions and test your own scenarios.
Based on our research, we think the proportion of remote work could step up from 2009 and 2017 levels (quantified in the file) to displace 30% of all commutes by 2030. This conclusion is justified, by summarizing an excellent technical paper, and a granular breakdown of jobs around the US economy, looking profession-by-profession.
This model presents the economic impactsof developing a typical, 625Mboe offshore gas condensate field using a fully subsea solution, compared against installing a new production facility.
Both projects are modelled out fully, to illstrate production profiles, per-barrel economics, capex metrics, NPVs, IRRs and sensitivity to oil and gas prices (e.g. breakevens).
The result of a fully offshore projectis lower capex, lower opex, faster development and higher uptime, generating a c4% uplift in IRRs, a 50% uplift in NPV6 (below) and a 33% reduction in the project’s gas-breakeven price.
Please download the modelto interrogate the numbers and input assumptions.
This short presentationdescribes our ‘Top Ten Themes for Energy in the 2020s’. Each theme is covered in a single slide. For an overview of the ideas in the presentation, please see our recent presentation, linked here.
SuperMajors’ shale developments are assumed to differ from E&Ps’ mainly in their scale and access to capital. Access to superior technologies is rarely discussed. But new evidence is emerging. This note assesses 40 of Chevron’s shale patents from 2019, showing a vast array of data-driven technologies, to optimize every aspect of shale.
Shell is revolutionizing LNG project design, based on reviewing 40 of the company’s gas-focused patents from 2019. The innovations can lower LNG facilities’ capex by 70% and opex by 50%; conferring a $4bn NPV and 4% IRR advantage over industry standard greenfields. Smaller-scale LNG, modular LNG and highly digitized facilities are particularly abetted. This note reviews Shell’s operational improvements, revolutionary greenfield concepts, and their economic consequences.
This datafile tabulates ten examples of deploying Blockchain in the oil and gas industry from 2017 onwards; including the companies involved, the use cases, and our estimates of the cost savings.
Most prior exampleshave been in oil and gas trading, where cost savings tend to run at c35%. More niche applications are gaining traction in downstream, B2B applications.
For 2020, we are particularly excitedby the broadening of Blockchain technologies into the procurement industry by a particular company, Data Gumbo.
c10% cost savingsmay be achieved for fragmented supply chains, such as US shale, by analogy to other digital procurement platforms we have evaluated in the past.
This data-file tabulates super-computing capacitypossessed by leading companies in the energy industry, based on public disclosures and internet sources: both directly owned by the companies, or available through partnerships with research institutions.
Computing capacity has increased by 70x since 2009, rising at a c50% CAGR. The pace of growth is quickening, with a 4x increase since 2016, which is a c60% CAGR.
Main usesfor the super-computers are in seismic processing, reservoir modelling and well-placement; but also for operational process efficiency and downstream catalyst development.
Leading companies are identified in the data-file, although this metric should not be over-emphasized. The largest reservoir simulation to-date was not conducted using an “owned” super-computer, but rather in partnership with an academic institution. The largest supercomputer in the world is also larger than the entire oil industry’s super-computing power combined.
This data-file calculates the financial and carbon costsof running electric submersible pumps (ESPs) at oilfields, as a function of half-a-dozen input variables. This matters with ESPs fitted on 15-20% of the world’s c1M oil wells.
Opportunities to optimise: CO2 intensities can be lowered 25% by switching diesel-powered ESPs to natural gas, and theoretically by 100% by switching to renewables. Associated kg/boe and cost savings are tabulated in the data-file.
Leading Majors and new technology companiesare also pioneering means to improve ESP efficiency. We tabulate our top examples in the data-file. Initiatives from Aramco and Equinor screen as most impressive.
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