Welcome to AI4SED 2025
Welcome to the 2025 Workshop on Artificial Intelligence for Sustainable Energy Development: Applications in Oil, Gas, and Renewables(AI4SED), which will be collocated with the 22nd Pacific Rim International Conference on Artificial Intelligence(PRICAI 2025) in Wellinton, New Zealand in November 2025.
Artificial Intelligence (AI) is fundamentally transforming the upstream oil and gas sector by enabling intelligent, efficient, and increasingly autonomous exploration and production. With the rise of large language models (LLMs) and vision models (LVMs), and multimodal AI systems, the industry is entering a new era of digital intelligence—where structured and unstructured data from logs, reports, images, and sensors are processed at scale to drive real-time decision-making across the entire upstream lifecycle.
This workshop highlights the most recent advancements and applications of AI in upstream domains including reservoir characterization，drilling and completion design, production optimization, and sustainability enhancement. Special emphasis is placed on the use of large models to automate workflows, improve well performance predictions, and enhance flow assurance and equipment reliability.
In addition, the workshop explores how AI contributes to economic evaluation and cost estimation in well construction and reservoir transformation, ensuring that digital solutions not only enhance technical outcomes, but also deliver quantifiable business value. As the industry pursues greener and more responsible development, AI plays a crucial role in reducing carbon footprints through methane detection, energy efficiency optimization, and CO₂ storage modeling.
Beyond the oil and gas domain, the workshop embraces the growing role of AI in renewable and low-carbon energy systems. With global energy systems undergoing unprecedented transitions, AI offers powerful tools to accelerate the adoption of wind, solar, geothermal, and hydrogen technologies. Applications include improved site selection, predictive maintenance of renewables infrastructure, energy yield forecasting, and smart, optimized designs and operational control.
The workshop also welcomes research that integrates AI for cross-domain optimization between traditional and renewable energy sources—such as hybrid energy systems, AI-guided energy storage strategies, and intelligent demand-side management. These innovations are particularly relevant to regions like Aotearoa New Zealand, where environmental sustainability, biodiversity conservation, and climate resilience are national priorities.
Important Dates
Paper submission Deadline:
Acceptance Notification:
Workshop Date:17-18 November 2025
News
22 May 2025 Website released
Call for Papers
Areas of interest
Topics include, but are not limited to:
Intelligent Reservoir Characterization and Geological Data Interpretation
Applications of AI in seismic processing, reservoir property prediction, formation evaluation, and geosteering under complex geological conditions.
Smart Drilling, Completion, and Economic Evaluation
AI-powered solutions for drilling trajectory design, real-time control, well logging and interpretation, completion strategy optimization, and integrated cost estimation—enhancing both technical performance and economic feasibility in complex well construction and subsurface engineering.
Large Model Applications in Production Optimization and Autonomous Operations
Applications include reservoir transformation optimization, well performance prediction, real-time flow assurance, predictive maintenance, and automated decision-making from unstructured logs, images, reports, and historical databases.
Exploration of Large Model Applications in Oil and Gas Exploration and Development
The integration of large language models (LLMs) and vision models
(LVMs), and multimodal models is revolutionizing oil and gas exploration and development.
AI Infrastructure and E&P Data Intelligence
High-quality dataset construction, model generalization, uncertainty quantification, explainable AI, and natural language processing (NLP) for knowledge extraction and decision support in upstream oil and gas workflows.
AI for Renewable Energy Systems
Applications of AI in wind, solar, geothermal, and hydro
power—covering aspects such as site selection, predictive maintenance, generation
forecasting, and smart grid integration.
AI for Low-Carbon and Sustainable Upstream Development
Data-centric approaches for monitoring greenhouse gas emissions,improving energy efficiency, supporting CO₂-EOR, carbon capture and storage,and promoting environmentally responsible upstream practices.
Paper Submission
The submission should be formatted in Springer's Lecture Notes in Artificial Intelligence. Latex or Word template can be downloaded through the link.
The Microsoft CMT Service is used for managing the peer-viewing process for the conference.
Submissions will be reviewed by our committee members to determine relevance to our workshop. Accepted submissions will be invited.
Contact
For any questions, please contact Dr. Feng Deng(dengfeng0719@hotmail.com)
Organizers
Research Institute of Petroleum Exploration & Development, China National Petroleum Company
Sustainable Energy Systems at the Faculty of Engineering, Victoria University of Wellington, New Zealand
Research Institute of Petroleum Exploration & Development, China National Petroleum Company
Sponsors
