Poster session 1E - Seismic Interpretation 1
Tracks
Geophysics
| Tuesday, June 3, 2025 |
| 2:00 PM - 3:00 PM |
| MEZZANINE HALL 7 |
Speaker
Jianjun Liu
Geophysical-China Oilfield Services Limited
The new fault detection approach based on ResU-Net deep learning network: Applications of Bohai K Oilfield
Mr Eyad Aljishi
Geophysical Researcher
Aramco
Integrating Seismic Facies Analysis and Machine Learning for an Accelerated Regional Geologic Interpretation
Dr Hongling Chen
Xi'an Jiaotong University
Unsupervised Seismic Acoustic Impedance Inversion Based on Conditional Latent Diffusion Model
Mr Leonardo Freitas
Student
Federal University Of Bahia
Seismic Attribute Generated Based On Dynamic Time Warping Algorithm
Ms Nilay Gungor
University Of Houston
Seismic Attributes and Stratigraphic Architecture of Deep-marine Sediments in the Offshore Mahanadi Basin, India
Mr Abtin Pegah
Tongji university
Enhancing Time-Frequency Analysis in Seismic Signals with an Innovative Combined Representation
Mr Zhiyu Hou
Phd Student
University of Lausanne
Effect of Background Heterogeneities on Attenuation and Dispersion in Fractured Porous Media
Dr Xiao Chen
China University Of Petroleum (East China)
Novel deep pressure-dependent shale anisotropy petrophysical modeling and exact VTI reflection coefficient
Prof. Marco Ceia
State University of Norte Fluminense (UENF)
Evaluation of rock physics models to estimate the dry bulk modulus of Brazilian carbonate rocks
Mr Yongqiang Ma
Senior Engineer
Sinopec Geophysical Research Institute
Experimental study of rock physics properties of CO2-saturated sandstone in different phases
Dr Zhichao Li
Phd Student
China University Of Petroleum, Beijing
Complex reservoir lithology prediction using sedimentary facies controlled seismic inversion constrained by high resolution sequence
Ms Ruobing Chen
China University Of Petroleum (east China)
Hierarchical Bayesian seismic probabilistic inversion and lithofacies identification using PSO-MCMC global sampling algorithm
Dr Mingxuan Li
China University Of Petroleum, Beijing
Gas Saturation Prediction Based on Multi-Source Information Fusion and Machine Learning Introduction
Ms Yuzhu Gu
China University Of Petroleum, Beijing
High-precision Initial Model Construction by Extrapolating Borehole Data with Dynamic Time Differences Constraint
Mr Trond Kirkevik
Equinor ASA
Simultaneous inversion of post-stack seismic time-lapse data
