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.

Session Chairpersons

Zhenyu Guo - Xecta Digital Labs

Youli Mao - Halliburton

0830-0855 220810
Enhancing Environmental Assessment In Oil And Gas Industry: A Large Language Model Framework For Efficient Data Extraction

Z. Chen, R. Zhong, Stanford University; W. Long, Z. Liu, University of Pittsburgh; H. Tang, X. Yang, Stanford University; B. Ren, J. Littlefield, Aramco Services Company; 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. Coffman, B. Hu, S. Pethe, P. Howard, J. Arnwine, H. Wasserman, ConocoPhillips
1040-1105 220932
Success Cases And Lessons Learned After 20 Years Of Oilfield Digitalization Efforts

L. Saputelli, Abu Dhabi National Oil Company
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 220918
Examining Oil And Gas Companies' Stated Strategy: A Machine Learning Analysis Of 10k Statements

S. Singh, University of Texas at San Antonio; V. Mittal, Jones Graduate School of Business, Rice University; A. Parasnis, Carnegie Vanguard High School; S. Seaton, Society of Petroleum Engineers
Alternate 220712
Application Of Large Language Models For Analysis Of Textual Data From The Oil & Gas Industry

P.S. Rathore, G. Nair, A. Srivastava, Halliburton
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

Prepare for an Unforgettable Opening Session!