Skip to main content

SPE logo tagline

SPE AI Symposium: Navigating the Nexus—Where Energy Meets AI and Sustainability
4–5 Feb 2025 | Grand Hyatt Al Khobar Hotel & Residences, Al Khobar, Kingdom of Saudi Arabia

Schedule

Subpage Hero

Loading

Technical Session 8: Emerging Technologies - II

05 Feb 2025
Jeddah Meeting Room
Technical Session

Artificial Intelligence (AI) is an emerging technology in the oil, gas, and energy sectors by providing transformative solutions across all aspects of the value chain, from upstream to downstream operations. In upstream activities, AI enhances exploration, drilling, and production through advanced data analytics, machine learning, and predictive modeling, improving resource identification and optimizing reservoir performance. Midstream operations benefit from AI-powered systems that ensure efficient transportation, real-time pipeline monitoring, and risk mitigation. In downstream processes, AI enables enhanced refining, improved supply chain management, and demand forecasting, driving operational efficiency and cost reduction. Beyond traditional oil and gas, AI supports the integration of renewable energy sources, smart grid management, and sustainability initiatives, aiding the industry's transition toward greener practices. By leveraging AI's capabilities, the sector achieves higher precision, safety, and efficiency while addressing global energy demands and environmental concerns. This session explores AI's comprehensive impact on the oil, gas, and energy sectors, highlighting its role in fostering innovation and sustainability.

 

Primary 14:30 – 15:00 A robotic surface logging approach for the Underbalanced Coiled Tubing Drilling Geosteering optimization
Klemens Katterbauer, aramco
Primary 15:00 – 15:30 From Blueprints to Breakthroughs: Inside the Making of VR Simulators
Vitalii Boiko, Pixela Labs
Primary 15:30 – 16:00 AI-Driven with Voice-Activated Smart Glasses for Real-Time Data Access in Oil & Gas Engineering Industry
Yu Wang, Vertechs Group
Alternate / ePoster TBC AI and Machine Learning Applied to PDC Drill Bits Dull Grading Data Capture, Drilling Performance, and Operational Efficiency
Roberta Santana Smith, SLB
Alternate / ePoster TBC Aramco’s ArGeoCHAT GPT: A RAG and LLM-Based Chatbot
Gabriel Chirila, aramco
Alternate / ePoster TBC Connected Worker Hub; Centralized Safety Practices
Sarah Alghunaim, aramco
Alternate / ePoster TBC Quantum Machine Learning Applications in Oil and Gas Industry
Norah Alsunaidi, aramco

 

Chairperson
Septriandi Chan, Section Head: Von Gonten lab - NESR
Hany Gamal, R&D Engineer - Weatherford
Speakers
Klemens Katterbauer, Focus Area Champion - Aramco
Viacheslav Konskyi, Technical Program Manager - Pixela Labs
Yu Wang, Solution Engineer - Vertechs Group