Search results for: “climate model”
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Thermo-Plastic Composite: The Future of Risers?
We estimate thermo-plastic composite riser costs line-by-line. Savings should reach 45%. The file also includes a complete history of TCP installations to-date, as this technology’s adoption continues.
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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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Shale EOR: the economics
This model assesses shale-EOR economics, as a function of oil prices, gas prices, production-profiles and capex costs. 15-20% IRRs are attainable in our base case. Economics are getting increasingly exciting, as the technology is de-risked and more gas is stranded in key shale basins.
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Ventures for an Energy Transition?
This database tabulates c300 venture investments, made by 9 of the leading Oil Majors. Their strategy is increasingly geared to advancing new energies, digital technologies and improving mobility. Different companies are compared and contrasted, including the full list of venture investments over time.
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De-Manning Deepwater?
We estimate a typical deepwater oilfield could save $15-20/bbl by “de-manning”, if implemented correctly. This data-file contains our workings, across 15 cost lines, based on recent design work from Technip-FMC.
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Commercial aviation: fuel economy of planes?
This data-file calculates the fuel economy of planes from first principles, using physics to calculate lift and drag, and comparing with actual data from aircraft manufacturers. The typical fuel economy of a plane is 80 passenger-mpg to carry 400 passengers, 8,000km at 900kmph, using jet fuel with 12,000 Wh/kg energy density. What sensitivities and decarbonization…
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Energy Economics of e-Scooters
This workbook contains all our modelling on the energy economics of e-scooters; a transformational technology for urban mobility. Included are our projections of per-mile costs, energy-economics, battery charging times, new electricity demand and displacement of oil demand.
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Power Trains? Electric, diesel or hydrogen
This data-file compares diesel trains, electric trains and hydrogen trains, according to their energy consumption, carbon emissions and fuel costs. The energy economics are best for electrifying rail-lines. Hydrogen costs must deflate 25-75% to be cost-competitive.
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Long-Term LNG Demand: technology-led?
This is a simple model of long-term LNG demand, extrapolating out sensible estimates for the world’s leading LNG-consumers. On top of this, we overlay the upside from two nascent technology areas, which could add 200MTpa of potential upside to the market. Backup workings are included.
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Drone Delivery: the Energy Economics
We have tabulated energy economics on 15 commercial drones and run the equations of flight on Amazon’s “Prime Air” solution. We conclude that drone delivery will use 90% less energy, 99% less cost and 90% lower carbon than is typical in current last-mile truck deliveries. Please download the model for all of the numbers.
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