Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study DOI Creative Commons
J. Zhao, Lu Jin, Xue Yu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4200 - 4200

Published: Aug. 23, 2024

Although considerable laboratory and modeling activities were performed to investigate the enhanced oil recovery (EOR) mechanisms potential in unconventional reservoirs, only limited research has been reported actual EOR implementations their surveillance fields. Eleven pilot tests that used CO2, rich gas, surfactant, water, etc., have conducted Bakken play since 2008. Gas injection was involved eight of these pilots with huff ‘n’ puff, flooding, injectivity operations. Surveillance data, including daily production/injection rates, bottomhole pressure, gas composition, well logs, tracer testing, collected from generate time-series plots or analytics can inform operators downhole conditions. A technical review showed pressure buildup, conformance issues, timely breakthrough detection some main challenges because interconnected fractures between offset wells. The latest operation co-injecting surfactant through same could be mitigated by careful design continuous reservoir monitoring. Reservoir simulation machine learning then for rapidly predict performance take control actions improve outcomes reservoirs.

Language: Английский

Experimental study of leakage characteristics and risk prediction of N2-containing dense-phase CO2 pipelines in real transportation conditions DOI

Zhangao Cao,

Yanwei Hu, Lei Chen

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 187, P. 1112 - 1125

Published: May 14, 2024

Language: Английский

Citations

13
Leakage Risk Assessment in Geologic Carbon Sequestration Using a Physics-Aware Convlstm Surrogate Model DOI

Jinzheng Kang,

Xiaoqing Shi, Shaoxing Mo

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Leakage Risk Assessment in Geologic Carbon Sequestration using a Physics-Aware ConvLSTM Surrogate Model DOI

Jinzheng Kang,

Xiaoqing Shi, Shaoxing Mo

et al.

Advances in Water Resources, Journal Year: 2025, Volume and Issue: unknown, P. 105017 - 105017

Published: May 1, 2025

Language: Английский

Citations

0
Investigation of scaling-down experiments for accidental CO2 leakage dispersion risks in constant-pressure transportation pipelines within the CCUS process DOI
Yanwei Hu, Lei Chen,

Zhangao Cao

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 190, P. 746 - 759

Published: Aug. 23, 2024

Language: Английский

Citations

3
Advances and Applications of Carbon Capture, Utilization, and Storage in Civil Engineering: A Comprehensive Review DOI Creative Commons

D. S. Vijayan,

Selvakumar Gopalaswamy,

Arvindan Sivasuriyan

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6046 - 6046

Published: Dec. 1, 2024

This paper thoroughly examines the latest developments and diverse applications of Carbon Capture, Utilization, Storage (CCUS) in civil engineering. It provides a critical analysis technology’s potential to mitigate effects climate change. Initially, comprehensive outline CCUS technologies is presented, emphasising their vital function carbon dioxide (CO2) emission capture, conversion, sequestration. Subsequent sections provide an in-depth capture technologies, utilisation processes, storage solutions. These serve as foundation for architectural framework that facilitates design integration efficient systems. Significant attention given inventive application building construction industry. Notable examples such include using (C) cement promoting sustainable production. Economic analyses financing mechanisms are reviewed assess commercial feasibility scalability projects. In addition, this review technological advances innovations have occurred, providing insight into future course progress. A environmental regulatory environments conducted evaluate compliance with policies technology deployment. Case studies from real world provided illustrate effectiveness practical applications. concludes by importance continued research, policy support, innovation developing fundamental component engineering practices. tenacious stride toward neutrality underscored.

Language: Английский

Citations

3
Monitoring Systems for CO2 Transport Pipelines: A Review of Optimization Problems and Methods DOI

Teke Xu,

Sergey Martynov, Haroun Mahgerefteh

et al.

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Carbon Capture and Storage (CCS) is a key technology for reducing anthropogenic greenhouse gas emissions, in which pipelines play vital role transporting CO2 captured from industrial emitters to geological storage sites. To aid efficient safe operation of the transport infrastructure, robust, accurate reliable solutions monitoring streams are urgently needed. This paper reviews literature on objectives, optimization problems mathematical algorithms developed pipeline systems water, oil natural gas, identifies methods relevant future networks CCS. The impacts physical properties complex designs scenarios design discussed. It shown that most liquid dense phase sensor placement context detecting leaks flow anomalies water distribution petroleum liquids. assurance impurities also identified. Optimizing against several including accuracy measurements, number type sensors, safety environmental risks,

Language: Английский

Citations

0
Machine Learning in Carbon Capture, Utilization, Storage, and Transportation: A Review of Applications in Greenhouse Gas Emissions Reduction DOI Open Access
Xuejia Du, Muhammad Noman Khan, Ganesh Thakur

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(4), P. 1160 - 1160

Published: April 11, 2025

Carbon Capture, Utilization, and Storage (CCUS) technologies have emerged as indispensable tools in reducing greenhouse gas (GHG) emissions combating climate change. However, the optimization scalability of CCUS processes face significant technical economic challenges that hinder their widespread implementation. Machine Learning (ML) offers innovative solutions by providing faster, more accurate alternatives to traditional methods across value chain. Despite growing body research this field, applications ML remain fragmented, lacking a cohesive synthesis bridges these advancements practical This review addresses gap systematically evaluating all major components—CO2 capture, transport, storage, utilization. We provide structured representative examples for each category critically examine various techniques, objectives, methodological frameworks employed recent studies. Additionally, we identify key parameters, limitations, future opportunities applying enhance systems. Our thus comprehensive insights guidance stakeholders, supporting informed decision-making accelerating ML-driven commercialization.

Language: Английский

Citations

0
Measurement of CO2 leakage from pipelines under CCS conditions through acoustic emission detection and data driven modeling DOI

Caiying Sun,

Yong Yan, Wenbiao Zhang

et al.

Measurement, Journal Year: 2024, Volume and Issue: 237, P. 115164 - 115164

Published: June 22, 2024

Language: Английский

Citations

2
Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study DOI Creative Commons
J. Zhao, Lu Jin, Xue Yu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(17), P. 4200 - 4200

Published: Aug. 23, 2024

Although considerable laboratory and modeling activities were performed to investigate the enhanced oil recovery (EOR) mechanisms potential in unconventional reservoirs, only limited research has been reported actual EOR implementations their surveillance fields. Eleven pilot tests that used CO2, rich gas, surfactant, water, etc., have conducted Bakken play since 2008. Gas injection was involved eight of these pilots with huff ‘n’ puff, flooding, injectivity operations. Surveillance data, including daily production/injection rates, bottomhole pressure, gas composition, well logs, tracer testing, collected from generate time-series plots or analytics can inform operators downhole conditions. A technical review showed pressure buildup, conformance issues, timely breakthrough detection some main challenges because interconnected fractures between offset wells. The latest operation co-injecting surfactant through same could be mitigated by careful design continuous reservoir monitoring. Reservoir simulation machine learning then for rapidly predict performance take control actions improve outcomes reservoirs.

Language: Английский

Citations

1