1330-1355

The State of AI: Challenges and Opportunities

M. Krause, Zenith Insurance

1355-1420 224125

Hybrid Neural Networks for Production Rate Forecast In Unconventional Reservoirs

K. Osei, Resermine Inc; U. Odi, Aramco Americas; A. Gupta, Saudi Aramco; D. Davudov, A. Venkatraman, Resermine Inc; B. Dindoruk, University of Houston

1420-1445 224128

Tailoring Large Language Models for Drilling Applications: A Comparative Study of Retrieval Augmented Generation and Fine-tuning

O.A. Elyas, H.W. Al Hashim, J.R. William, Massachusetts Institute of Technology

1445-1510 224123

Predicting Subsea Wellhead Fatigue Damage with a Machine Learning Based Tool

W. Lu, Y. Ma, S. Cheng, Chevron Corporation

1545-1610 224142

Subsurface Flow and Carbon Emission Optimization Using Graph Network Surrogate Models with Carbon Accounting

H. Tang, W. Long, University of Pittsburgh; Z. Chen, W. Teng, X. He, Stanford University; Z. Liu, University of Pittsburgh; Y. Zhang, ShanghaiTech University; M. Masnadi, University of Pittsburgh

1610-1635 224127

Leveraging Analog Wells to Fine-tune AI Foundation Models for Well Log Prediction

S. Ouzineb, S. Wlodarczyk, SLB

1635-1700 224159

AI-assisted Field Development in Carbon Sequestration with Neural Operators

J. Godlewski, SLB; P. Witte, Microsoft

1700-1725 224119

Streamlining Production Efficiency in F Cluster: Leveraging Practical Problem Solving (PPS) for Deferment Management and Well Recovery

A. AL Hinai, A. AL AZRI, A. Awlad Wadair, K. Alabri, A. AL Marshoodi, S. Alharthy, R. Kumar, Petroleum Development Oman