…water to cultivate nature based solutions (also below). https://thundersaidenergy.com/2019/12/08/shale-growth-what-if-the-permian-went-co2-neutral/ https://thundersaidenergy.com/2020/07/10/green-deserts-a-final-frontier-for-forest-carbon/ Shale thus sets the marginal cost in oil markets, as our numbers require of 2.5Mbpd of shale growth each year…
…is how much the world has changed since the early days of European shale exploration, a decade ago, including ten years’ proof that US shale has not caused an entire…
…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…
Completing a shale well depends on over 40 variables. Each one can be optimised using data. It follows that next-generation data will deliver next-generation shale productivity. Hence our new, 25-page…
…we assessed Chevron’s shale patents, to identify technologies that could support guidance for 900kboed of Permian production by 2023. Page 3 sets out Chevron’s technologies for shale exploration and appraisal,…
Completing a shale well depends on over 40 variables. Each one can be optimised using data. It follows that next-generation data could deliver next-generation shale productivity. This note focuses on…
Future US shale productivity can still rise at a 5% CAGR to 2025, based on evaluating 300 technical papers from 2020. The latest improvements are discussed in this 12-page note,…
Will Shale-EOR add another leg of unconventional upside? The topic jumped into the ‘Top 10’ most researched shale themes last year, hence we have reviewed the opportunity in depth. Stranded…
…Chinese shale gas industry. This data-file tabulates the most-cited challenges, and the solutions that are suggested to combat them. It also includes our “top ten conclusions” on Chinese shale gas….
This data-file decomposes the drivers of shale productivity in Alberta’s Duvernay play, across a correlation-matrix of 23 different variables. Machine learning can be used to predict 78% of the variance…