Decarbonization
A DNV report on decarbonization says the Middle East and North Africa region is expected to become the world’s largest hydrogen exporter by 2060 while maintaining a dominant position in global oil and gas markets.
A final investment decision is also expected by the end of the year for the company’s first low-carbon data center project.
The North Sea Transition Authority has updated its UKCS Well Applications and Consents Guidance to include the process for applying for consent to drill carbon-storage wells.
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This paper aims to investigate the use of an optimization workflow to maximize both hydrogen storage and the net present value to obtain an optimal reservoir development strategy. -
This paper describes how ramp-up operations and commercialization of an underground storage asset were combined, rapidly providing a wide range of commercial services to the Italian gas system while long-term UGS performance increased continuously.
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The authors introduce a novel framework combining dynamic mode decomposition, a data-driven model-reduction technique, with direct data assimilation to streamline the calibration of carbon-dioxide plume evolution models.
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The floating production, storage, and offloading vessel is the first in the world with a postcombustion carbon capture pilot system.
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The plant is designed to capture up to 100,000 tonnes of carbon dioxide annually for the Netherlands-based sustainable energy supplier Twence.
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A new modeling tool examines the pathways and technology necessary for California to reach carbon neutrality economywide by 2045.
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Aramco expects to complete Phase 1 construction of the 9-mtpa facility in 2027.
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The modular facility will process associated gas to produce electricity for up to 200,000 households in the Basra region.
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As Southeast Asia’s third-largest gas producer, PTTEP is investing in its energy security by prioritizing gas production and building up a global LNG supply chain.
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The objective of this study is to develop an explainable data-driven method using five different methods to create a model using a multidimensional data set with more than 700 rows of data for predicting minimum miscibility pressure.
