Decarbonization
Technology and partnerships play a pivotal role in how the oil industry finds and produces energy from frontier regions and brownfields, both now and in the future.
This study highlights how the recovery and reuse of existing hydrocarbon infrastructure can contribute to the diffusion of district-heating projects that implement the principles of the circular economy.
Transitioning to a low-carbon economy demands large-scale CO2, natural gas, and hydrogen storage. In this context, the application of AI/ML technology to uncover geochemical, microbial, geomechanical, and hydraulic mechanisms related to storage and solve complicated history-matching and optimization problems, thereby enhancing storage efficiency, has been prominently …
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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.
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