Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Browser

► Journal Browser

Recent Advances in Subsurface Sequestration of Anthropogenic Carbon Dioxide

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

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

Deadline for manuscript submissions: 31 May 2024 | Viewed by 2776

Share This Special Issue

Special Issue Editors

Dr. Ebrahim Fathi

E-Mail Website
Guest Editor

Petroleum and Natural Gas Engineering Department, West Virginia University, Morgantown, WV 26505, USA
Interests: unconventional oil and gas reservoir development; hydraulic fracturing; carbon capture utlization and sequestration; engineered geothermal systems; artificial intelligence

Dr. Jinqing Bao

E-Mail Website
Guest Editor

School of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China
Interests: rock mechanics; fracture mechanics; numerical simulation; finite element method; slope engineering; underground engineering
Special Issues, Collections and Topics in MDPI journals

Dr. Qin He

E-Mail Website
Guest Editor

General Engineering, Saint Francis University, Loretto, PA 15940, USA
Interests: reservoir modeling and simulation; reservoir engineering; drilling engineering; production engineering; economic analysis of oil and gas properties; introduction to enhanced oil recovery; environmental petroleum engineering

Dr. Salah A. Faroughi

E-Mail Website
Guest Editor

Geo-Intelligence Laboratory, Ingram School of Engineering, Texas State University, San Marcos, TX 78666, USA
Interests: data intelligence; rheology; viscoelastic fluids; complex fluids; physics-based deep learning
Special Issues, Collections and Topics in MDPI journals

Dr. Fatemeh Belyadi

E-Mail
Guest Editor

Integrated Smart Data Solutions LLC, Morgantown, WV, USA
Interests: fracture propagation; oil and gas fields; horizontal wells; shale; gas

Special Issue Information

Dear Colleagues,

Primary considerations in subsurface sequestration of anthropogenic carbon dioxide are the knowledge on gas storability of geological formation, area of review, and post-injection site care embracing risks associated with CO₂ leakage and fault reactivation. Briefly, not all high-porosity formations are suitable for the permanent storage of the gas. Some of them lack a suitable storage environment that will foster physical mechanism(s) of gas trapping. The trapping is associated with fluid–fluid or fluid–solid interactions in porous media, such as dissolution, physical adsorption, or some homogeneous and heterogeneous reactions. The dissolved gas promotes density-driven natural convection of water and the related hydrodynamic instabilities; the injected gas could be transported and dispersed over large distances depending on the boundary conditions of the reservoir. This can lead to a source of risks, e.g., leakage and/or fault reactivation, associated with CO2 storage due to presence of wells, thief zones and geological discontinuities, such as faults in the area of review.

This Special Issue highlights recent advances in subsurface sequestration of anthropogenic carbon dioxide from pre-injection to post-injection site care the topics of interest for publication include, but are not limited to:

Reservoir petrophysical (core characterization and correlation) analysis;
Reservoir petrochemical (CO₂–fluid–rock interactions) characterization;
Regional subsurface mapping using well logs and 2D/3D seismic data;
CO₂ storage capacity;
Near well bore and large-scale natural fracture mapping;
Drilling and completion design;
Geomechanical evaluation during and after CO₂ injection;
Real field simulation of pressure and CO₂ plume saturations;
Sensitivity analysis and uncertainty quantification;
Economics and life cycle analysis of CO2 sequestration;
Surface and subsurface CO₂ monitoring and leak detection;
Smart fields and application of artificial intelligence.

Dr. Ebrahim Fathi
Dr. Jinqing Bao
Dr. Qin He
Dr. Salah Aldin Faroughi
Dr. Fatemeh Belyadi
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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

CO₂ sequestration
petrophysics
petrochemsitry
geomechanics
seismic
reservoir simulation
artificial intelligence
monitoring and leak detection
economic and societal analysis

Published Papers (2 papers)

Download All Papers

Research

13 pages, 2007 KiB

Open AccessArticle

Uncertainty Quantification in CO₂ Trapping Mechanisms: A Case Study of PUNQ-S3 Reservoir Model Using Representative Geological Realizations and Unsupervised Machine Learning

by Seyed Kourosh Mahjour, Jobayed Hossain Badhan and Salah A. Faroughi

Energies 2024, 17(5), 1180; https://doi.org/10.3390/en17051180 - 01 Mar 2024

Viewed by 532

Abstract

Evaluating uncertainty in

{CO}_{2}

Evaluating uncertainty in

{CO}_{2}

injection projections often requires numerous high-resolution geological realizations (GRs) which, although effective, are computationally demanding. This study proposes the use of representative geological realizations (RGRs) as an efficient approach to capture the uncertainty range of the full set while reducing computational costs. A predetermined number of RGRs is selected using an integrated unsupervised machine learning (UML) framework, which includes Euclidean distance measurement, multidimensional scaling (MDS), and a deterministic K-means (DK-means) clustering algorithm. In the context of the intricate 3D aquifer

{CO}_{2}

storage model, PUNQ-S3, these algorithms are utilized. The UML methodology selects five RGRs from a pool of 25 possibilities (20% of the total), taking into account the reservoir quality index (RQI) as a static parameter of the reservoir. To determine the credibility of these RGRs, their simulation results are scrutinized through the application of the Kolmogorov–Smirnov (KS) test, which analyzes the distribution of the output. In this assessment, 40

{CO}_{2}

injection wells cover the entire reservoir alongside the full set. The end-point simulation results indicate that the

{CO}_{2}

structural, residual, and solubility trapping within the RGRs and full set follow the same distribution. Simulating five RGRs alongside the full set of 25 GRs over 200 years, involving 10 years of

{CO}_{2}

injection, reveals consistently similar trapping distribution patterns, with an average value of

D_{\max}

of 0.21 remaining lower than

D_{critical}

(0.66). Using this methodology, computational expenses related to scenario testing and development planning for

{CO}_{2}

storage reservoirs in the presence of geological uncertainties can be substantially reduced. Full article

(This article belongs to the Special Issue Recent Advances in Subsurface Sequestration of Anthropogenic Carbon Dioxide)

► Show Figures

Figure 1

20 pages, 18490 KiB

Open AccessArticle

Impacts of Different Operation Conditions and Geological Formation Characteristics on CO₂ Sequestration in Citronelle Dome, Alabama

by Ebrahim Fathi, Danilo Arcentales and Fatemeh Belyadi

Energies 2023, 16(7), 3191; https://doi.org/10.3390/en16073191 - 01 Apr 2023

Cited by 3 | Viewed by 1806

Abstract

Major concerns of carbon dioxide (CO₂) sequestration in subsurface formations are knowledge of the well injectivity and gas storage capacity of the formation, the CO₂ pressure and saturation plume extensions during and after injection, and the risks associated with CO₂ leakage and fault reactivation. Saline reservoirs are considered as one of the target formations for CO₂ sequestration through structural, residual, dissolution, and mineral trapping mechanisms. The boundary condition of the saline reservoir dictates the pressure and saturation plume extension of the injected supercritical CO₂ that could expand over large distances. This can lead to sources of risk, e.g., leakage and/or fault reactivation due to presence of wells, thief zones, and geological discontinuities. Therefore, there is a critical need to develop a model that describes how risk-related performance metrics (i.e., the CO₂ saturation plume size, the pressure differential plume area, and the pressure differential at specific locations) vary as a function of the size of injection, time following injection, injection operations, and geologic environment. In this study, a systematic reservoir modeling studies of anthropogenic CO₂ sequestration in Citronelle dome, Alabama, was performed where all relevant scenarios and conditions to address the questions of the saturation and pressure plume size in the area of review (AoR) and post-injection site care (PISC) are considered. The objective for this study was firstly to systematically simulate CO₂ sequestration, i.e., saturation dynamics, and pressure behavior over a range of operational and geological conditions and to derive conclusions about the factors influencing saturation and pressure plume size, post-injection behavior, and the risk associated with them, by developing third-generation reduced order models (ROMs) for reservoir behavior. Finally, to assess the uncertainty associated with our studies, Latin Hypercube Sampling (LHS) together with an experimental design technique, i.e., Plackett–Burman design, was used. Application of Pareto charts and respond surfaces enabled us to determine the most important parameters impacting saturation and pressure plume sizes and to quantify the auto- and cross-correlation among different parameters in both history-matched and upscaled models. Full article

(This article belongs to the Special Issue Recent Advances in Subsurface Sequestration of Anthropogenic Carbon Dioxide)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Recent Advances in Subsurface Sequestration of Anthropogenic Carbon Dioxide

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (2 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI