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Advances in Carbon Capture, Utilization & Storage (CCUS)
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Advances in Carbon Capture, Utilization & Storage (CCUS)

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "H: Geo-Energy".

Deadline for manuscript submissions: 30 December 2026 | Viewed by 3718

Editors

Dr. Martin Ma

E-Mail Website
Guest Editor
Department of Chemical Engineering, School of Engineering, Singapore Institute of Technology (SIT), 1 Punggol, Coast Road, Singapore 828608, Singapore
Interests: CCUS; CO2/H2 transport modeling; energy transition; optimization; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Hongsheng Wang

E-Mail Website
Guest Editor
Bureau of Economic Geology, The Jackson School of Geoscience, The University of Texas at Austin, Austin, TX 78758, USA
Interests: deep learning; geological carbon storage; reservoir simulation; digital rock physics; lattice Boltzmann methods
Dr. Tao Bai

E-Mail Website
Guest Editor
Center for Economic Geology Research, School of Energy Resources, University of Wyoming, Laramie, WY 82071, USA
Interests: CO2 storage; machine learning; reservoir simulation; geomechanics

Special Issue Information

Dear Colleagues,

Carbon capture, utilization, and storage (CCUS) provides a practical route to reducing greenhouse-gas emissions across the power, industrial, and energy-intensive sectors. Because CCUS spans an end-to-end value chain—from separating CO2 at the source to its transport, conversion, and secure geological storage—it calls for coordinated progress in science, engineering, and policy.

This Special Issue welcomes original research articles and authoritative reviews that advance research on any aspect of the CCUS value chain. We invite authors to submit papers spanning the entire chain—including experimental, modeling, and pilot studies; techno-economic assessments; field demonstrations; policy or regulatory analyses; and integrated process designs. Topics of interest include (but are not limited to) the following:

  • CO2 capture: novel solvents, sorbents, membranes, and intensified processes;
  • CO2 transport: network planning, pipeline integrity, and infrastructure optimization;
  • CO2 utilization: chemical conversion, mineralization, and other value-adding pathways;
  • CO2-based enhanced oil recovery: experiments on and simulations of CO2-EOR processes, filed implementation and monitoring, CO2-EOR, and carbon storage synergies;
  • Subsurface storage: formation characterization, injection strategies, caprock integrity, and risk assessment;
  • Simulation and optimization of CCUS hubs, clusters, and full-value-chain deployments;
  • Machine learning and data analytics applications across carbon capture, transport, utilization, and storage;
  • Risk, safety, and lifecycle assessments for CCUS projects;
  • Techno-economic and policy frameworks enabling large-scale CCUS project implementation.

Our goal is to assemble a collection of papers presenting cutting-edge insights that will accelerate CCUS projects and broaden their contribution to global decarbonization. We look forward to receiving your submissions.

Dr. Martin Ma
Dr. Hongsheng Wang
Dr. Tao Bai
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CCUS
  • CO2 storage/sequestration
  • CO2 transport
  • CO2 capture
  • modeling
  • machine learning
  • risk assessment

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Published Papers (2 papers)

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Research

42 pages, 4022 KB  
Article
Cold CO2 Injection into Depleted Gas Reservoirs: Implications for Capacity, Injectivity and Containment
by Hakan Alkan, Taofik H. Nassan, Anne Tamáskovics, Nematollah Zamani, Nicolai-Alexeji Kummer, Dirk Baganz, Carsten Freese and Mohd Amro
Energies 2026, 19(11), 2548; https://doi.org/10.3390/en19112548 - 25 May 2026
Cited by 1 | Viewed by 574
Abstract
Depleted hydrocarbon reservoirs (DHRs), particularly depleted gas reservoirs (DGRs), are increasingly regarded as promising candidates for geologic carbon storage (GCS). However, their low abandonment pressure poses significant thermo-hydraulic challenges during the injection of cold, high-pressure CO2. In such non-isothermal conditions, complex [...] Read more.
Depleted hydrocarbon reservoirs (DHRs), particularly depleted gas reservoirs (DGRs), are increasingly regarded as promising candidates for geologic carbon storage (GCS). However, their low abandonment pressure poses significant thermo-hydraulic challenges during the injection of cold, high-pressure CO2. In such non-isothermal conditions, complex processes may occur, including Joule–Thomson (J-T) cooling, hydrate formation, salt precipitation, and thermal fracturing, all of which may affect storage performance. This study presents an integrated assessment of the impact of CO2 injection into DGRs on the three key pillars of GCS: capacity, injectivity, and containment. The analysis integrates laboratory experiments conducted at our institute, simplified analytics and numerical simulations to assess the governing physical mechanisms. The findings indicate that the cold CO2 injection can enhance effective storage capacity during the injection phase. This is attributed to the increase in fluid density and the delay in pressure buildup. However, the post-injection thermal equilibrium may result in pressure rebound. The CO2 injectivity has been demonstrated to be significantly impacted by the near-wellbore thermal effects. While thermo-induced fracturing may enhance injectivity, it poses potential risks to wellbore and caprock integrity. The process of hydrate formation depends on the local temperature and petrophysical conditions, with dynamic factors further reducing the likelihood of pore plugging. Salt precipitation has been found to be less critical under typical DGR conditions with low initial water saturation, although having the potential to become significant in the presence of water influx and/or cyclic injection. The findings provide a technical basis for enhancing the engineering design, accelerating the certification process, and ensuring the safe operation of future GCS projects in DGRs. Full article
(This article belongs to the Special Issue Advances in Carbon Capture, Utilization & Storage (CCUS))
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22 pages, 2497 KB  
Article
High-Performance Reservoir Simulation with Wafer-Scale Engine for Large-Scale Carbon Storage
by Mina Khalaf, Hyoungkeun Kim, Alexander Y. Sun, Dirk Van Essendelft, Chung Yan Shih, Guoxiang Liu and Hema Siriwardane
Energies 2025, 18(22), 5874; https://doi.org/10.3390/en18225874 - 7 Nov 2025
Cited by 6 | Viewed by 1882
Abstract
Reservoir simulations are essential for subsurface energy applications, but remain constrained by the long runtimes of high-fidelity solvers and the limited generalizability of pretrained machine learning models. This study presents a multiphase reservoir simulator implemented on the Wafer Scale Engine (WSE), a new [...] Read more.
Reservoir simulations are essential for subsurface energy applications, but remain constrained by the long runtimes of high-fidelity solvers and the limited generalizability of pretrained machine learning models. This study presents a multiphase reservoir simulator implemented on the Wafer Scale Engine (WSE), a new hardware architecture that delivers supercomputer performance on a single chip. Application development on the WSE is still at a nascent stage, and this study is, to our knowledge, the first to implement a full-physics, two-phase CO2-brine reservoir simulator on WSE, achieving runtimes on the order of seconds for reservoir-scale simulations while preserving full numerical accuracy. The developed simulator incorporates detailed physics for simulating CO2 transport in geological formations. As a case study, we considered CO2 injection into a field-scale reservoir model consisting of over 1.7 million cells. The WSE solver achieves more than two orders of magnitude speedup compared to a conventional CPU-based parallel simulator, completing a 5-year simulation in just 2.8 s. The WSE performance remained nearly unchanged to a four-fold increase in grid resolution, in contrast to the strong slowdown observed with the CPU-based solver. These findings provide the first proof-of-concept of wafer-scale computing for enabling high-resolution, large-scale full-physics simulations in near-real-time, overcoming the tradeoff between speed and accuracy and opening a new paradigm for carbon storage and broader subsurface energy applications. Full article
(This article belongs to the Special Issue Advances in Carbon Capture, Utilization & Storage (CCUS))
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