About this Research Topic
With the rapid advancement of artificial intelligence (AI) technologies, their applications across various industries are expanding. Geoenergy, being a data-intensive field, is increasingly incorporating AI techniques to enhance the efficiency and accuracy of exploration and production processes. By leveraging advanced technologies such as machine learning and deep learning, geologists and engineers can gain deeper insights into subsurface structures, predict reservoir characteristics, optimize production processes, and reduce environmental impacts.
This research topic aims to gather the latest research findings and application cases to demonstrate the practical value of AI in geoenergy. By integrating multidisciplinary research, the issue will explore how AI technologies are driving innovation and development in the oil and gas industry. Additionally, the special issue will provide valuable insights for practitioners to apply AI technologies in their work, thereby improving production efficiency and decision-making.
The topics may include but are not limited to:
• Geosciences and Geology: Exploring the application of AI in geological exploration, stratigraphic analysis, and reservoir modeling.
• Energy Engineering: Studying AI's role in geoenergy production optimization, including equipment failure prediction and production data analysis.
• Computer Science and Data Science: Development and application of AI algorithms in the field of geoenergy.
• Environmental Science and Engineering: Application of AI technologies in environmental protection, resource management, and sustainable development.
• Applied Mathematics and Statistics: Utilization and optimization of AI and machine learning algorithms for geological data processing.
This research topic aims to gather the latest research findings and application cases to demonstrate the practical value of AI in geoenergy. By integrating multidisciplinary research, the issue will explore how AI technologies are driving innovation and development in the oil and gas industry. Additionally, the special issue will provide valuable insights for practitioners to apply AI technologies in their work, thereby improving production efficiency and decision-making.
The topics may include but are not limited to:
• Geosciences and Geology: Exploring the application of AI in geological exploration, stratigraphic analysis, and reservoir modeling.
• Energy Engineering: Studying AI's role in geoenergy production optimization, including equipment failure prediction and production data analysis.
• Computer Science and Data Science: Development and application of AI algorithms in the field of geoenergy.
• Environmental Science and Engineering: Application of AI technologies in environmental protection, resource management, and sustainable development.
• Applied Mathematics and Statistics: Utilization and optimization of AI and machine learning algorithms for geological data processing.
Keywords: Artificial Intelligence (AI), Machine Learning, Deep Learning, Geoenergy Exploration, Reservoir Characterization, Data Mining, Geological Big Data, Production Optimization, Seismic Data Processing, Reservoir simulation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
