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Multi‐scale soil salinization dynamics from global to pore scale: A review
Soil salinization refers to the accumulation of water‐soluble salts in the upper part of the soil
profile. Excessive levels of soil salinity affects crop production, soil health, and ecosystem …
profile. Excessive levels of soil salinity affects crop production, soil health, and ecosystem …
A review on pore-scale modeling and CT scan technique to characterize the trapped carbon dioxide in impermeable reservoir rocks during sequestration
Global warming is increasing at a perpetual rate due to the emission of greenhouse gases in
recent years. This spectacle has been mainly caused by the increase of carbon dioxide (CO …
recent years. This spectacle has been mainly caused by the increase of carbon dioxide (CO …
Impact of geological and operational conditions on underground hydrogen storage
Transition toward renewable energies is an important step to tackle climate change and to
build a sustainable energy system. Fluctuation in availability of renewable energy sources is …
build a sustainable energy system. Fluctuation in availability of renewable energy sources is …
Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
Carbon dioxide storage in underground saline aquifers is considered a promising technique
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
[KNJIGA][B] Applications of percolation theory
M Sahimi - 1994 - taylorfrancis.com
Over the past two decades percolation theory has been used to explain and model a wide
variety of phenomena that are of industrial and scientific importance. Examples include …
variety of phenomena that are of industrial and scientific importance. Examples include …
Optimum design of CO2 storage and oil recovery under geological uncertainty
This paper presents an integrated numerical framework to co-optimize EOR and CO 2
storage performance under uncertainty in the Farnsworth Unit (FWU) oil field in Ochiltree …
storage performance under uncertainty in the Farnsworth Unit (FWU) oil field in Ochiltree …
Modelling minimum miscibility pressure of CO2-crude oil systems using deep learning, tree-based, and thermodynamic models: Application to CO2 sequestration and …
Q Lv, R Zheng, X Guo, A Larestani… - Separation and …, 2023 - Elsevier
The energy demand is still increasing across the globe, while environmental concerns about
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …
global warming effect and greenhouse gases have augmented recently. CO 2 injection into …
Stage‐wise stochastic deep learning inversion framework for subsurface sedimentary structure identification
The stochastic models and deep‐learning models are the two most commonly used
methods for subsurface sedimentary structures identification. The results from the stochastic …
methods for subsurface sedimentary structures identification. The results from the stochastic …
Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
Carbon dioxide (CO 2) capture and sequestration in saline aquifers have turned into a key
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
focus as it becomes an effective way to reduce CO 2 in the atmosphere. The solubility of CO …
Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects
Abstract Carbon dioxide-Enhanced Oil Recovery (CO 2-EOR) is known as one of techniques
for hydrocarbon production improvement as wells as an important candidate to reduce …
for hydrocarbon production improvement as wells as an important candidate to reduce …