Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
出版年份 2022 全文链接
标题
Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
作者
关键词
CO, 2, storage, Carbon capture and storage, Machine learning, XGBoost, Saline aquifers
出版物
APPLIED ENERGY
Volume 314, Issue -, Pages 118985
出版商
Elsevier BV
发表日期
2022-03-30
DOI
10.1016/j.apenergy.2022.118985
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Modeling and predicting city-level CO2 emissions using open access data and machine learning
- (2021) Ying Li et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- XGBoost: An Optimal Machine Learning Model with Just Structural Features to Discover MOF Adsorbents of Xe/Kr
- (2021) Heng Liang et al. ACS Omega
- Data-driven based machine learning models for predicting the deliverability of underground natural gas storage in salt caverns
- (2021) Aliyuda Ali ENERGY
- Coupled multiphase flow and transport simulation to model CO2 dissolution and local capillary trapping in permeability and capillary heterogeneous reservoir
- (2021) Mrityunjay Singh et al. International Journal of Greenhouse Gas Control
- Effect of geological heterogeneities on reservoir storage capacity and migration of CO2 plume in a deep saline fractured carbonate aquifer
- (2021) M. Adeel Sohal et al. International Journal of Greenhouse Gas Control
- Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of state
- (2021) Mohammad-Reza Mohammadi et al. Scientific Reports
- A data-driven method of traffic emissions mapping with land use random forest models
- (2021) Yifan Wen et al. APPLIED ENERGY
- A random forest-based model for the prediction of construction-stage carbon emissions at the early design stage
- (2021) Yuan Fang et al. Journal of Cleaner Production
- Modeling of CO2 adsorption capacity by porous metal organic frameworks using advanced decision tree-based models
- (2021) Jafar Abdi et al. Scientific Reports
- A machine learning approach for accurate modeling of CO2-brine interfacial tension with application in identifying the optimum sequestration depth in saline aquifers
- (2020) Jiyuan Zhang et al. ENERGY & FUELS
- Robust optimization of CO2 sequestration through a water alternating gas process under geological uncertainties in Cuu Long Basin, Vietnam
- (2020) Hung Vo Thanh et al. Journal of Natural Gas Science and Engineering
- Evaluation of CO2 Storage in a Shale Gas Reservoir Compared to a Deep Saline Aquifer in the Ordos Basin of China
- (2020) Danqing Liu et al. Energies
- Application of an artificial neural network in predicting the effectiveness of trapping mechanisms on CO2 sequestration in saline aquifers
- (2020) Youngsoo Song et al. International Journal of Greenhouse Gas Control
- Numerical Study of CO2 Geological Storage in Saline Aquifers without the Risk of Leakage
- (2020) Yuan-Heng Li et al. Energies
- Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones
- (2020) Hung Vo Thanh et al. Scientific Reports
- Estimation of CO2 adsorption in high capacity metal−organic frameworks: Applications to greenhouse gas control
- (2020) Amir Dashti et al. Journal of CO2 Utilization
- Toward smart schemes for modeling CO2 solubility in crude oil: Application to carbon dioxide enhanced oil recovery
- (2020) Mehdi Mahdaviara et al. FUEL
- Forecasting commercial-scale CO2 storage capacity in deep saline reservoirs: Case study of Buzzard's bench, Central Utah
- (2019) Ting Xiao et al. COMPUTERS & GEOSCIENCES
- Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam
- (2019) Hung Vo Thanh et al. Energy Sources Part A-Recovery Utilization and Environmental Effects
- A study of CO2 storage integrity with rate allocation in multi-layered aquifer
- (2019) Joohyung Kim et al. GEOSCIENCES JOURNAL
- Characterization of CO2 storage and enhanced oil recovery in residual oil zones
- (2019) Bailian Chen et al. ENERGY
- Prediction carbon dioxide solubility in ionic liquids based on deep learning
- (2019) Tong Deng et al. MOLECULAR PHYSICS
- Large scale modeling and assessment of the feasibility of CO2 storage onshore Abu Dhabi
- (2019) Temitope Ajayi et al. ENERGY
- Optimization of well placement and operating conditions for various well patterns in CO2 sequestration in the Pohang Basin, Korea
- (2019) Changhyeok Jun et al. International Journal of Greenhouse Gas Control
- Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam
- (2019) Hung Vo Thanh et al. International Journal of Greenhouse Gas Control
- Predicting solubility of CO2 in brine by advanced machine learning systems: Application to carbon capture and sequestration
- (2019) Nait Amar Menad et al. Journal of CO2 Utilization
- Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling
- (2019) Hamid Gholami et al. ATMOSPHERIC RESEARCH
- Identification of high impact factors of air quality on a national scale using big data and machine learning techniques
- (2019) Jun Ma et al. JOURNAL OF CLEANER PRODUCTION
- Polynomial and nonparametric regressions for efficient predictive proxy metamodeling: Application through the CO2-EOR in shale oil reservoirs
- (2019) Watheq J. Al-Mudhafar Journal of Natural Gas Science and Engineering
- A learning-based data-driven forecast approach for predicting future reservoir performance
- (2018) Hoonyoung Jeong et al. ADVANCES IN WATER RESOURCES
- Diffusive leakage of brine from aquifers during CO 2 geological storage
- (2018) Morteza Dejam et al. ADVANCES IN WATER RESOURCES
- Geologic CO 2 sequestration monitoring design: A machine learning and uncertainty quantification based approach
- (2018) Bailian Chen et al. APPLIED ENERGY
- Uncertainty quantification of CO 2 storage using Bayesian model averaging and polynomial chaos expansion
- (2018) Wei Jia et al. International Journal of Greenhouse Gas Control
- Effect of wettability heterogeneity and reservoir temperature on CO 2 storage efficiency in deep saline aquifers
- (2018) Emad A. Al-Khdheeawi et al. International Journal of Greenhouse Gas Control
- A new chemical structure-based model to estimate solid compound solubility in supercritical CO 2
- (2018) Alireza Baghban et al. Journal of CO2 Utilization
- A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
- (2018) Dahai Zhang et al. IEEE Access
- Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
- (2018) Muhammad Waseem Ahmad et al. JOURNAL OF CLEANER PRODUCTION
- Enhancement of CO2 trapping efficiency in heterogeneous reservoirs by water-alternating gas injection
- (2018) Emad A. Al-Khdheeawi et al. Greenhouse Gases-Science and Technology
- Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field
- (2018) Watheq J Al-Mudhafar MARINE GEOPHYSICAL RESEARCH
- Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
- (2018) Junliang Fan et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Classification of reservoir facies using well log and 3D seismic attributes for prospect evaluation and field development: A case study of Sawan gas field, Pakistan
- (2018) Umer Ashraf et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Analyzing the experimental data of CO 2 equilibrium absorption in the aqueous solution of DEA + MDEA with Random Forest and Leverage method
- (2017) Hamidreza Saghafi et al. International Journal of Greenhouse Gas Control
- Impact of salinity on CO2 containment security in highly heterogeneous reservoirs
- (2017) Emad A. Al-Khdheeawi et al. Greenhouse Gases-Science and Technology
- Predicting CO 2 capture of ionic liquids using machine learning
- (2017) Vishwesh Venkatraman et al. Journal of CO2 Utilization
- CO2 Accounting and Risk Analysis for CO2 Sequestration at Enhanced Oil Recovery Sites
- (2016) Zhenxue Dai et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- On the evaluation of asphaltene precipitation titration data: Modeling and data assessment
- (2016) Abdolhossein Hemmati-Sarapardeh et al. FLUID PHASE EQUILIBRIA
- A field-scale investigation of residual and dissolution trapping of CO2 in a saline formation in Western Australia
- (2016) H. Baz et al. International Journal of Greenhouse Gas Control
- Simulating the Cranfield geological carbon sequestration project with high-resolution static models and an accurate equation of state
- (2016) Mohamad Reza Soltanian et al. International Journal of Greenhouse Gas Control
- Accurate prediction of properties of carbon dioxide for carbon capture and sequestration operations
- (2016) M. A. Ahmadi et al. PETROLEUM SCIENCE AND TECHNOLOGY
- Simplified physics model of CO2plume extent in stratified aquifer-caprock systems
- (2015) Priya Ravi Ganesh et al. Greenhouse Gases-Science and Technology
- Pre-site Characterization Risk Analysis for Commercial-Scale Carbon Sequestration
- (2014) Zhenxue Dai et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Parametric sensitivity analysis for CO2 geosequestration
- (2014) Mirhamed Sarkarfarshi et al. International Journal of Greenhouse Gas Control
- Estimation of Reservoir Porosity and Water Saturation Based on Seismic Attributes Using Support Vector Regression Approach
- (2014) S.R. Na’imi et al. JOURNAL OF APPLIED GEOPHYSICS
- Assessment of CO2 injection into the south Utsira-Skade aquifer, the North Sea, Norway
- (2013) V.T.H. Pham et al. ENERGY
- Carbon capture and storage update
- (2013) Matthew E. Boot-Handford et al. Energy & Environmental Science
- Effects of complex sandstone–shale sequences of a storage formation on the risk of CO2 leakage: Case study from Taiwan
- (2013) Bieng-Zih Hsieh et al. International Journal of Greenhouse Gas Control
- Numerical assessment of CO2 geological sequestration in sloping and layered heterogeneous formations: A case study from Taiwan
- (2013) Rui-Tang Sung et al. International Journal of Greenhouse Gas Control
- Static and Dynamic Estimates of CO2-Storage Capacity in Two Saline Formations in the UK
- (2013) Min Jin et al. SPE JOURNAL
- An Integrated Framework for Optimizing CO2 Sequestration and Enhanced Oil Recovery
- (2013) Zhenxue Dai et al. Environmental Science & Technology Letters
- Lifetime of carbon capture and storage as a climate-change mitigation technology
- (2012) M. L. Szulczewski et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Aquifer Management To Accelerate CO2 Dissolution and Trapping
- (2012) Abhishek Anchliya et al. SPE JOURNAL
- Permutation importance: a corrected feature importance measure
- (2010) André Altmann et al. BIOINFORMATICS
- A Simulation of a Trap Mechanism for the Sequestration of CO2into Gorae V Aquifer, Korea
- (2010) J. H. Lee et al. Energy Sources Part A-Recovery Utilization and Environmental Effects
- CO2 storage in geological media: Role, means, status and barriers to deployment
- (2007) S BACHU PROGRESS IN ENERGY AND COMBUSTION SCIENCE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started