Special Issues

                                                                Special Issue Call for Papers

Title: AI-Driven Solutions for Sustainable Underground CO₂ Injection and Environmental Monitoring

Overview:
In the face of escalating climate change concerns, Carbon Capture and Storage (CCS) through underground CO₂ injection has emerged as a critical strategy in global mitigation efforts. The infusion of Artificial Intelligence (AI) techniques into this domain offers transformative potential, from optimizing injection processes to enhancing site selection, real-time monitoring, and ensuring regulatory compliance. This special issue aims to gather pioneering research and applied studies at the confluence of AI, geosciences, environmental engineering, and data analytics, fostering interdisciplinary collaboration and innovation.

Scope and Objectives:
This special issue seeks to delve into cutting-edge AI methodologies and data-driven approaches that promote sustainable underground CO₂ sequestration. Contributions are invited on, but not limited to, the following topics:

  1. Geospatial Analysis & Site Characterization:
    1. AI-enhanced geological and geophysical data processing for optimal site identification.
    2. Integration of EPA datasets (e.g., UIC well data, environmental monitoring records) with geospatial analytics.
    3. Advanced predictive modeling of CO₂ behavior in geological formations.
  2. Real-Time Monitoring and Sensor Data Fusion:
    1. Machine learning algorithms for anomaly detection and sensor data analysis.
    2. Development of early-warning systems for potential leakage or environmental hazards.
    3. Techniques for integrating real-time sensor data with historical datasets to enhance monitoring precision.
  3. Process Optimization and Digital Twins:
    1. AI-driven optimization of injection parameters (flow rates, pressures, strategies).
    2. Creation of digital twin models for simulating CO₂ injection and reservoir dynamics.
    3. Decision support systems powered by AI for operational efficiency and safety management.
  4. Risk Assessment and Environmental Impact:
    1. Machine learning approaches to assess leakage risks, caprock integrity, and induced seismicity.
    2. AI models for comprehensive environmental impact assessments leveraging public datasets.
    3. Case studies on regulatory compliance monitoring using automated systems.
  5. Data Integration and Big Data Analytics:
    1. Fusion of multi-source datasets (EPA data, seismic surveys, hydrological data) for robust modeling.
    2. Applications of deep learning, graph-based methods, and advanced algorithms in complex data analytics.
    3. Cross-disciplinary methodologies connecting environmental data with computational models.
  6. Policy, Regulation, and Economic Analysis:
    1. Impact of AI-enhanced monitoring on policy formulation and regulatory frameworks.
    2. Economic evaluations of AI applications in reducing operational costs and enhancing safety.
    3. Success stories showcasing regulatory dataset integration in CCS projects.

Submission Guidelines:
We welcome original, unpublished work that is not under consideration elsewhere. Manuscripts should strictly adhere to the submission guidelines outlined on the [Journal/Conference Website]. We encourage theoretical, methodological, experimental studies, and case studies with a clear focus on AI applications in underground CO₂ injection and environmental monitoring.

Manuscript Requirements:

  • Length: 6,000–8,000 words for full papers.
  • Format: Follow the journal’s standard formatting guidelines.
  • Abstract: A concise abstract (150–250 words) summarizing key contributions and findings.
  • Keywords: 4–6 relevant keywords.
  • Supplementary Material: Authors are encouraged to include datasets, code, and multimedia as supplementary material, if applicable.

Submission Process:
Manuscripts must be submitted electronically via the journal’s online submission system. During submission, please specify that your paper is for the “Special Issue on AI-Driven Solutions for Sustainable Underground CO₂ Injection and Environmental Monitoring.”

Important Dates:

  • Submission Deadline: May 30, 2025
  • Notification of Acceptance: July 4, 2025
  • Final Manuscript Due: June 15, 2025
  • Publication Date: August 29, 2025

Please note that dates are subject to change. Check the journal website for the latest updates.

Review Process:
All submissions will undergo a rigorous peer-review process. Manuscripts will be evaluated by guest editors and external reviewers with expertise in AI and environmental applications, based on originality, technical quality, and relevance to the special issue’s themes.

Contact Information:
For inquiries regarding the special issue or submission process, please contact:

Guest Editor: Email [email protected]

Other Special Issues in This Series:

  1. Special Issue 1: Innovations in Applied Sciences and Technology for a Sustainable Future
    Exploring cutting-edge research in applied sciences and technology for global sustainability.
    Scope:
    1. AI and machine learning in environmental monitoring.
    2. Renewable energy solutions and sustainable resource management.
    3. Interdisciplinary approaches in engineering and life sciences.
    4. Innovations in physical sciences for industrial development.
  2. Special Issue 2: Digital Transformation and Strategic Management in a Globalized World
    Innovative management practices, leadership strategies, and technological integration for organizational excellence.
    Scope:
    1. Business process optimization through digital transformation.
    2. Leadership and decision-making in a global economy.
    3. Data analytics and AI in strategic planning.
    4. Sustainability-driven business models and growth.
  3. Special Issue 3: Educational Technology and Pedagogy: Shaping the Future of Learning
    Transformative trends in education technology, curriculum design, and pedagogy.
    Scope:
    1. E-learning platforms and technology-enhanced learning.
    2. Curriculum development for STEM education and digital literacy.
    3. Pedagogical innovations and teacher training.
    4. AI and virtual reality in education.
  4. Special Issue 4: Public Health Informatics and Environmental Resilience: Addressing Global Challenges
    Research on health informatics, climate impacts on public health, and sustainable solutions.
    Scope:
    1. AI and data analytics for public health decision-making.
    2. Digital health solutions for disease prevention and equity.
    3. Climate change impacts on health and mitigation strategies.
    4. Technological interventions in healthcare delivery and environmental sustainability.

We invite researchers, practitioners, and industry experts to contribute their innovative research to these special issues, fostering multidisciplinary collaboration and advancing global sustainability goals.