WHY SUBMIT A PAPER PROPOSAL
- The opportunity to be a part of an international multi-disciplinary, inter-society energy conference and exhibition
- Contribute to technical knowledge transfer on a global platform
- Share new technologies and best practices with industry professionals from around the world
- Boost your company’s profile at a renowned industry event
- Highlight your technical knowledge and experience with like-minded peers
- Have your paper published in the multi-society library, OnePetro
ABSTRACT CONTENT
A proper review of your abstract requires that it contain adequate information on which to make a judgement. Written in English and containing a maximum of 450 words, abstracts should be summarised into four (4) specific paragraphs:
- Objective/Scope: Please list the objective and/or scope of the proposed paper (25-75 words).
- Methods, Procedures, Process: Briefly explain your overall approach, including your methods, procedures and process (75-100 words).
- Results, Observations, Conclusions: Please describe the results, observations and conclusions of the proposed paper (100-200 words).
- Novel/Additive Information: Please explain how this paper will present novel (new) or additive information to the existing body of literature that can be of benefit to and/or add to the state of knowledge in the petroleum industry (25-75 words).
*Do not include title or author names in the body of the abstract. Title and author information will be requested separately through the submission system.
VIEW FULL SUBMISSION GUIDELINES
TECHNICAL CATEGORIES
The paper proposal categories below are used to direct the paper proposals (abstracts) to the appropriate subject matter experts for evaluation.
A primary choice is required, however, a secondary choice is optional.
AI and Automation in Exploration and Drilling
- AI for seismic data acquisition, signal processing, interpretation, and full wave inversion
- AI-driven reservoir characterisation and geologic modeling
- AI-based well log analysis and interpretation
- Automated drilling optimisation for safety, cost, and efficiency
- AI-Assisted well placement optimization and digital geosteering
- AI applications in subsurface gas injection, storage, and monitoring
AI-Driven Production Optimisation and Reservoir Management
- Smart field operations and real-time production control
- AI-driven reservoir simulation and production forecasting
- Enhanced oil recovery (EOR) and improved reservoir performance using AI
- Digital twin applications for production optimisation
- AI-driven flow rate, pressure, and temperature control
Predictive Maintenance and Asset Management
- AI-powered equipment health monitoring and failure prediction
- IoT-based condition monitoring for turbines, compressors, and pipelines
- AI-driven maintenance scheduling to reduce downtime and costs
- Predictive maintenance for drilling rigs and equipment
- Lifecycle management of critical infrastructure and facilities
- AI in predictive corrosion detection and pipeline integrity
Data-Driven Decision Making and Big Data Analytics
- AI-driven market forecasting and energy trading
- AI-enabled data integration for real-time analytics and decision-making
- Big data strategies for operational and business decision optimisation
- Cloud-based AI solutions for large-scale data processing
- Large Language Models (LLM) and the science behind them
Digital Transformation, Ethics, and Enterprise AI Integration
- AI in business strategy and enterprise decision-making
- New opportunities for Partnerships and Collaborations
- Scaling AI adoption and overcoming implementation challenges
- Ethical AI, transparency, and bias mitigation
- Regulatory frameworks and compliance for AI in energy
- AI-driven digital transformation in operations and capital
Cybersecurity and AI Risk Management
- AI-driven cybersecurity for operational technology and infrastructure
- Data privacy, regulatory compliance, and ethical AI governance
- Securing AI-powered cloud computing and edge computing environments
- AI in threat detection, risk mitigation, and anomaly detection
- Protecting AI models from adversarial attacks and data poisoning
AI for Environmental Sustainability and Decarbonisation
- AI in carbon capture, storage, and emissions monitoring
- AI-driven optimisation of energy efficiency and waste reduction
- AI for predictive environmental impact assessment and compliance
- AI applications in renewable energy integration and grid management
- AI for methane leak detection and abatement in oil and gas operations
Robotics, IoT, and Advanced Sensing in Energy Operations
- Drones, robotic inspections, and automation in hazardous environments
- Distributed fiber sensing, downhole monitoring, and edge analytics
- AI-powered remote sensing and high-temperature electronics
- Smart fields and digital twin applications for production and facility management
- AI-driven automation in logistics, fleet management, and supply chains
AI and Digital Solutions for Health, Safety, and Risk Management
- AI for predicting and preventing workplace incidents
- AI-driven emergency response and crisis management
- AI-powered autonomous safety systems and robotic hazard detection
- AI for occupational health monitoring and exposure risk assessment
- AI-based risk modeling for extreme weather and natural disasters
Emerging AI Technologies and Their Future Impact on Energy
- Quantum computing, generative AI, and hyper-automation in energy operations
- Genuine vs. Hybrid Models: Scientific and Engineering applications of Artificial Intelligence
- AI-enhanced augmented, virtual, and mixed reality applications
- The role of AI in blockchain, MLOps, and digital trust in energy transactions
- No-code and low-code AI solutions for faster AI deployment in energy
- Autonomous control and operations
- AI applications in unconventional resources and next-gen energy materials
CONTACT US
Should you have further questions regarding the Call for Papers, please contact IPTC at iptc@iptcnet.org or +971.4.457.5800.