Generative Artificial intelligence and advanced analytics on facility and asset management in oil and gas industry

Tuesday, 24 September

0830 - 1130

Room 231 - 232

Technical Session

This session consists of two parts. Part 1 focuses on the forefront of large language model applications in the petroleum industry, exploring this new horizon of generative AI adoption. Part 2 introduces innovative advanced analytics methods for field facility optimization, showcasing digital advancement in asset management.

0830-0855 220810
AI-Driven Environmental Data Extraction For Energy Sector Assessment

Z. Chen, R. Zhong, Stanford University; W. Long, University of Pittsburgh; H. Tang, Stanford University; A. Wang, Linksia Inc.; Z. Liu, University of Pittsburgh; X. Yang, Stanford University; B. Ren, J. Littlefield, Aramco Services Company; S. Koyejo, Stanford University; M. Masnadi, University of Pittsburgh; A.R. Brandt, Stanford University
0855-0920 221083
Textual Data Augmentation For NER In Geosciences With LLMs

E. Maze, R. Farahbakhsh, P. Barrallon, P. Jallais, TotalEnergies SE
0920-0945 220921
Damage Classification Of Oil & Gas Equipment Components Using Siamese Networks

A. Sirothia, G. Nair, R. Pandya, ExxonMobil Services & Technology Pvt Ltd
1015-1040 221022
Leveraging Large Language Models for Cost Management and Supply Chain Optimization

M. Shahini, C.Y. Wang, M. Roeder, S. Pethe, S. Coffman, P. Howard, B. Hu, H. Wasserman, J. Arnwine, ConocoPhillips
1040-1105 220932
Success Cases And Lessons Learned After 20 Years Of Oilfield Digitalization Efforts

L. Saputelli, J. Duran, Frontender Corporation; F. Rivas, E. Casas, L. Ramos, Kauel Inc.; C. Bravo, Honeywell; A. Chacon, Halliburton; C. Temizel, S. Mubarak, Saudi Aramco; J. Chacon, Eigen Ltd.; A. Escorcia, Kanotomics LLC; M. Eldred, Digital Energy; S. Diaz, Wood PLC.; A. Yrigoyen, YH Provider Consulting; G. Moricca, Frontender Corporation; M. Querales, Stoic Operating Company LLC; C. Lopez, BP
1105-1130 220979
An Automated Workflow For Condition Monitoring Of Centrifugal Compressors Using A Combined Data-Driven And Physics-Based Approach

C.S. Santiago, H. Abbas, SLB; P. Thangamani, SLB Middle East
Alternate 220833
Preliminary Research on Applications of Large Language Models in E&P Industry

X. Zhou, Research Institute of Petroleum Exploration and Development of PetroChina; X. Jing, Digital and Information Department of PetroChina; W. Wu, Research Institute of Petroleum Exploration and Development of PetroChina; G. Gao, Yangtze University

2024 Technical Program

Generative Artificial intelligence and advanced analytics on facility and asset management in oil and gas industry