This data-file tracks the Lula oilfield, well-by-well, FPSO-by-FPSO, aggregating data from over 100 production reports, which are published monthly by Brazil’s national hydrocarbon regulator.
Hence we have formulated “production forecasts” for each FPSO, and for the entire field; in 2H19 and in 1H20. This matters for oil markets; and for pre-salt producers, such as Petrobas, Shell and Galp.
Our outlook is for slowing growth, due to rising water- and gas-cuts, which are reviewed well-by-well. One FPSO is now definitively constrained by gas-handling capacity. Another is off-plateau due to maturity. Six Lula FPSOs are now negotiating water-cuts, as shown in the data-file.
1H19 production was lower than expected, at just 72% of total installed FPSO capacity. Our notes attribute the drivers, and contextualise the growth ahead.
This data-file contains all our data on the energy economics of e-scooters, a transformational technology for urban mobility, where demand has exploded in 2018 and 2019. And for good reason. The data-file includes:
Our projections of the oil demand destroyed by scooters
Our projections of the electricity demand created by scooters
Number of US travel-trips using shared bikes and scooters from 2010-18
Scooter costs versus car and taxi costs per mile
Average ranges and battery sizes of incumbent scooter models
Relative energy economics of scooters versus gasoline cars and EVs
Relative time taken to charge scooters versus EVs using solar panels
The proportion of scooter trips that replace gasoline car trips in eight cities
Profiles of the top 4 e-scooter companies
A timeline of shared mobility from 1965 to 2018.
The download will also enable you to adjust the input assumptions, to test different scenarios.
This data-file compares different trucking fuels— diesel, CNG, LNG, LPG and Hydrogen — across 35 variables. Most important are the economics, which are fully modelled.
Natural Gas can be close to competitive. On an energy-equivalent basis, $3/mcf gas is 4x more economical than $3/gal diesel. However, the advantages are offset by higher vehicle costs, operational costs and logistical costs. Overall, CNG ends up 10% more expensive, and LNG ends up 30% more expensive versus diesel-trucking. Mild environmental positives of gas are also offset by mild operational challenges.
Hydrogen still screens as an expensive alternative. We estimate vehicle costs are 2x higher than diesel trucks, while $15/kg hydrogen is 4x more expensive than diesel as a fuel.
This database tabulates c200 venture investmentsmade by 8 of the leading Oil Majors, as the energy industry advances and transitions.
The largest portionof activity is still aimed at incubating Upstream technologies (c40% of the investments), as might be expected.
But leading Majors are also building rapid capabilitiesin new energies (38%) and digital (36%), as the energy system evolves. We are impressed by the opportunities. Venturing is likely the right model to create most value.
The full databaseshows which topic areas are most actively targeted by venturing; including by company. We also chart which companies have gained stakes in the most interesting start-ups.
We assessed the technology behind 20 plastic pyrolysis companies, operating (or constructing) 100 plants around the world. Our data-file includes the number of plants, locations, start-up years, input-types and capacities for each plant. We also include our own notes and assessment’s of each company’s technology.
This data-file reviews 300 technical papers from 2018, to identify the cutting edge of shale technology. Each paper is summarised, categorized by topic, by country, by basin, by company and by ‘impact’.
On our assessment, one third of the papers support material improvements in well-productivity. c97% are data-driven, including c33% using advanced computational modelling and another c25% using data to optimise operations.
The Permian hosted the most research, pulling further ahead of other basins. The spread between different Majors and E&Ps also surprised us.
What are the top technologies to transform the global energy industry and the world? This data-file summarises where we have conducted differentiated analysis, across 35 technologies (and counting).
For each technology, we summarise the opportunity. Then we score its economic impact, its technical maturity (TRL), and the depth of our work to-date. The output is a ranking of the top technologies, by category.
Download this data-fileand you will also receive updates for a year, as we add more technologies; and we will also be happy to dig into any technologies you would like to see added to the list.