Corrigendum to ’ A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow’ [International Journal of Greenhouse Gas Control volume 111 (2021) 103480]

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2021.103558 ◽

2021 ◽

pp. 103558

Author(s):

Junyu You ◽

William Ampomah ◽

Anthony Morgan ◽

Qian Sun ◽

Xiaoliang Huang

Keyword(s):

Machine Learning ◽

Greenhouse Gas ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Control Volume ◽

Gas Control

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Quantifying Greenhouse Gas Emission Reductions From Enhanced Oil Recovery Operations

10.2118/94368-ms ◽

2005 ◽

Cited By ~ 1

Author(s):

Christopher P. Loreti ◽

William W. Grygar

Keyword(s):

Greenhouse Gas ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Greenhouse Gas Emission ◽

Gas Emission ◽

Emission Reductions

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Potential of CO2-enhanced oil recovery coupled with carbon capture and storage in mitigating greenhouse gas emissions in the UAE

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2021.103485 ◽

2021 ◽

Vol 111 ◽

pp. 103485

Author(s):

Raphael Santos ◽

Sgouris Sgouridis ◽

Ahmed Alhajaj

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Carbon Capture ◽

Carbon Capture And Storage ◽

Gas Emissions ◽

And Storage

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A Machine Learning Approach to Enhanced Oil Recovery Prediction

Lecture Notes in Computer Science - Analysis of Images, Social Networks and Texts ◽

10.1007/978-3-319-73013-4_15 ◽

2017 ◽

pp. 164-171 ◽

Cited By ~ 2

Author(s):

Fedor Krasnov ◽

Nikolay Glavnov ◽

Alexander Sitnikov

Keyword(s):

Machine Learning ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Learning Approach ◽

Machine Learning Approach

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Subsurface Temperature Measurement Using Electromagnetic Waves and Machine Learning for Enhanced Oil Recovery

10.3997/2214-4609.202011129 ◽

2020 ◽

Author(s):

K. Van den Doel ◽

M. Robinson ◽

C. Stove ◽

G. Stove

Keyword(s):

Machine Learning ◽

Temperature Measurement ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Electromagnetic Waves ◽

Subsurface Temperature

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A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2021.103480 ◽

2021 ◽

Vol 111 ◽

pp. 103480

Author(s):

Junyu You ◽

William Ampomah ◽

Anthony Morgan ◽

Qian Sun ◽

Xiaoliang Huang

Keyword(s):

Machine Learning ◽

Enhanced Oil Recovery ◽

Oil Recovery

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A Comprehensive Techno-eco-assessment of CO2 Enhanced Oil Recovery Projects Using a Machine-learning Assisted Workflow

SSRN Electronic Journal ◽

10.2139/ssrn.3816701 ◽

2021 ◽

Author(s):

Junyu You ◽

William Ampomah ◽

Qian Sun ◽

Robert Balch

Keyword(s):

Machine Learning ◽

Enhanced Oil Recovery ◽

Oil Recovery

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A screening-level life cycle greenhouse gas analysis of CO2 enhanced oil recovery with CO2 sourced from the Shute Creek natural gas-processing facility

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2018.08.010 ◽

2018 ◽

Vol 78 ◽

pp. 236-243

Author(s):

Melanie D. Jensen ◽

Nicholas D. Azzolina ◽

Steven M. Schlasner ◽

John A. Hamling ◽

Scott C. Ayash ◽

...

Keyword(s):

Life Cycle ◽

Natural Gas ◽

Greenhouse Gas ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Gas Analysis ◽

Gas Processing ◽

Processing Facility ◽

Natural Gas Processing

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Energy Intensity and Greenhouse Gas Emissions from Thermal Enhanced Oil Recovery

Energy & Fuels ◽

10.1021/ef100410f ◽

2010 ◽

Vol 24 (8) ◽

pp. 4581-4589 ◽

Cited By ~ 30

Author(s):

Adam R. Brandt ◽

Stefan Unnasch

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Energy Intensity ◽

Gas Emissions

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Extracting subsurface temperature gradients from radar probes using machine learning with applications to enhanced oil recovery

10.1109/iceaa52647.2021.9539717 ◽

2021 ◽

Author(s):

K. van den Doel ◽

M. Robinson ◽

G. D. C. Stove ◽

G. C. Stove

Keyword(s):

Machine Learning ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Temperature Gradients ◽

Subsurface Temperature

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Using Machine Learning to Identify Optimum Prospects for Offshore Geologic CO2 Storage and Enhanced Oil Recovery in the Gulf of Mexico

10.2172/1836582 ◽

2020 ◽

Author(s):

Jack Pashin

Keyword(s):

Machine Learning ◽

Gulf Of Mexico ◽

Enhanced Oil Recovery ◽

Oil Recovery ◽

Co2 Storage ◽

Geologic Co2 Storage

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