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Johan Sverdrup: Economic Model
We have modelled the economics of Equinor’s Johan Sverdrup oilfield. Our model spans >250 lines of inputs and outputs, so you can flex key assumptions. In particular, we have tested the impact of different decline rates and recovery factors on the field’s ultimate value.
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Deploying the Digital Twin
This data-file tabulates 36 recent technical papers into “digital twins” since 2017, in order to understand how the technology is being deployed around the upstream oil and gas industry: principally to improve platform uptime, prevent rig downtime and inspect subsea infrastructure.
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Offshore Capex for Technology Leaders?
The lowest-cost offshore projects are not “easy oil”. They are the ones being developed with leading technologies. This data-file measures a -88% correlation coefficient between different Major’s offshore patent filings in 2018 and their most recent projects’ capex costs.
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Inflow Control: Our Top 20 Papers from 2019
This data-file summarises twenty recent papers using inflow control devices: an exciting digital technology to optimise horizontal wells by limiting production from zones that are susceptible to flowing water or gas. Each paper is categorized by company, country, field and focus. Also included are our ‘Top 10’ facts from the technical literature.
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Shale: Upgrade to Fiber?
This note focuses on the most exciting new data methodology we have seen across the entire shale space: distributed acoustic sensing (DAS) using fiber-optic cables. It has now reached critical mass.
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Leading Companies in DAS?
This data-file quantifies the leading companies in Distributed Acoustic Sensing (DAS), the game-changing technology for enhancing shale and conventional oil industry productivity. Operators are screened from their patents and technical papers. Services are screened based on their size and their technology.
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Oil Companies Drive the Energy Transition?
There is only one way to decarbonise the energy system: leading companies must find economic opportunities in better technologies. No other route can source sufficient capital to re-shape such a vast industry that spends c$2trn per annum. We outline seven game-changing opportunities. Leading energy Majors are already pursuing them in their portfolios, patents and venturing.…
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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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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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LNG liquefaction technologies: an overview?
This data-file is an overview of different LNG liquefaction technologies: APCI, APX, Optimised Cascade, Fluid Cascade, DMR, SMR, PRICO and MMLS. A typical LNG liquefaction plant has energy intensity of 280kWh/ton, consuming 5% of the input gas entering the plant, with 20kg/boe of Scope 1&2 CO2 intensity. But efficient and electric-drive compression can lower these…
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