Machine Learning on Permian Seismic?
Pioneer Natural Resources is improving the accuracy of its Midland basin depth-models by up to 40%, using a machine-learning algorithm to re-calibrate its seismic from well logs. Faster drilling and…
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. The algorithms are getting more accurate. $199.00 – Purchase Checkout Added to cart…
Explaining Shale: Can Machine Learning Capture Complexity?
This data-file decomposes the drivers of shale productivity in Alberta’s Duvernay play, across a correlation-matrix of 23 different variables. $129.00 – Purchase Checkout Added to cart Machine learning can be used to…
Offshore Wind: Tracking Turbines with Satellites and Machine Learning?
…from the images, based on machine learning (similar to the algorithms used for facial recognition). The disc’s angle to the North line may be determined, and its blade diameter is…
US Shale: No Country for Old Completion Designs
…reviewing 350 technical papers, published by the shale industry in summer-2019. Major improvements are gathering momentum, in shale-EOR, machine learning techniques, digitalization and frac fluid chemistry. $499.00 – Purchase Checkout Added to…
Energy Technologies and Energy Transition
…online) Offshore Wind: Tracking Turbines with Satellites and Machine Learning? (Jan-2020, online) Perovskites: Lord of Light? (June-2019, online) https://thundersaidenergy.com/2020/02/28/decarbonized-power-when-will-wind-and-solar-peak/ Energy Storage & Hydrogen We are cautious on energy storage, due…
Moore’s law: causes and new energies conclusions?
…New energies seem to be doing the opposite of boot-strapping. The third feedback loop is from learning curves, noted on page 6, which we do expect to occur in new…
Nature based CO2 removals: theory of evolution?
Learning curves and cost deflation are widely assumed in new energies but overlooked for nature-based CO2 removals. This 15-page note finds that via optimization of nature based solutions the CO2…
Reforestation in Estonia: six months in?
…from July, the strategy was laid out, to ‘crawl, walk, then run’. The ‘crawl’ phase mainly involves learning, and reducing my family’s net, lifetime CO2 emissions. The ‘walk’ phase involves…
Energy intensity of AI: chomping at the bit?
…across transistors, DRAM, GPUs and deep learning. GPU efficiency will inevitably increase, but compute increases faster. AI most likely uses 300-2,500 TWH in 2030, with a base case of 1,000…