Decarbonization
This paper presents laboratory-testing methods and evaluation criteria designed to improve understanding of both the origin and extent of formation damage associated with CO2 injection.
This work presents an evaluation for carbon capture, utilization, and storage projects in the UAE for two wells in a saline water aquifer with respect to caprock integrity and water sampling.
This work introduces an analytical model for nonisothermal CO2 injection that accounts for both Joule-Thomson cooling and interformation heat exchange.
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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. -
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.
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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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In this paper, a dynamic multiphase-flow simulator is used to evaluate the effectiveness and suitability of using a subsea capping stack to respond to a CO₂ well blowout.
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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.
