the research consultancy for energy technologies
…(2018). High Resolution Seismic Data Derived from Pre-Stack Inversion and Machine Learning. Pioneer Natural Resources USA, patent WO2018201114 [/restrict] Please log in to view this content Username or Email *…
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…
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…
…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…
…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…
…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…
…the most productivity-enhancing set of technical papers of any year in the database. Recent areas of innovation include completion design, fracturing fluids, EORand machine learning. We also break down the…
…can reduce refinery CO2 intensities by 5kg/bbl. Pages 18-21 highlight breakthrough, digital technologies to improve the development of new catalysts, including super-computing and machine learning techniques. Pages 23-24 screen 35…
…more extensive than expected. For example, Stanford’s “Deep Solar” project, has used machine learning to identify over 1.5M solar installations from 1bn satellite images. 5% of houses in California are…
…completion designs (page 8), optimizing completion fluids (page 8), Shale-EOR (page 9) and a step-change in machine learning algorithms (page 10-11). The leading companies are highlighted on page 12, ranked…