Technical Session 19: AI-Driven Digital Twin Framework for Subsurface

Thursday, 15 October

0900 - 1030

Room B1, Boulevard Level

Technical Session

Session Chairpersons

0900-0920 234570
Data Driven and Interpretable Prediction of Hydrogen Rich Gas Brine Interfacial Tension for Subsurface Storage Applications

A. Tatar, M. Hajeer, Adelaide University; A. Russo, Flinders University; A. Zeinijahromi, M. Haghighi, Adelaide University
0920-0940 234358
Outlier Detection for Shale Gas Production Data: An Integrated Approach of Enhanced Clustering and Domain Knowledge

W. Ren, Y. Duan, J. Guo, J. Zeng, Y. Ren, Southwest Petroleum University
0940-1000 234341
Geological Outcrop Digital Twin for Hydrocarbon Exploration: Enhancing Reservoir Characterisation with Multi-block Modelling

L. Li, PetroChina Southwest Oil & Gas Field Company; J. Zhu, Vertechs Group; C. Wu, X. Xia, Z. Zhengwang, Z. Aobo, S. Ma, Y. Chun, PetroChina Southwest Oil & Gas Field Company; Q. Zeng, Z. Dou, D. Liu, Vertechs Group
1000-1020 234430
Hata: Multi-agent Ontology Framework for High-quality Log Interpretation Data Reconstruct in Existed Wells Re-assessment

H. Chen, W. Jin, X. Liu, F. Huang, Kunlun Digital Technology, CNPC; P. Yang, Polytechnic Institute, Zhejiang University

Event Programme