Poster session 2 - Geology 2
Tracks
Geology
| Thursday, June 5, 2025 |
| 2:00 PM - 3:00 PM |
| MEZZANINE HALL 7 |
Speaker
Dr Jianhua Qu
Chengdu North Petroleum Exploration & Development Technology Co., Ltd
Lithofacies classification and distribution on a carbonate ramp in the Cretaceous Hartha Formation, central Mesopotamian Basin
Dr Dancheng Zhu
China ZhenHua Oil Co., Ltd.
Regional Sedimentary Responses to Syndepositional Faulting of Upper Cretaceous Limestones, B Oilfield, Central Iraq
Dr Zixiao Peng
Chengdu North Petroleum Exploration & Development Technology Co., Ltd
Focusing on the classification of alluvial fans based on sedimentary processes: Insights for deep-time favorable reservoirs
Dr Jianhua Qu
Chengdu North Petroleum Exploration & Development Technology Co., Ltd
Facies diversity and paleogeographic reconstruction during transgression in the Lower Cretaceous Zubair Formation, Mesopotamia Basin, Iraq
Dr Bang Zeng
China Zhenhua Oil Company Limited
Rhythmic Oil Intervals in Porous Carbonate Reservoirs: Control by High-Frequency Cycles
Dr Xiangyu Wang
Phd Student
China University of Petroleum (Beijing)
Uncertainty Analysis of Nuclear Magnetic Resonance T1-T2 Spectra Based on Prior Information Constraints
Qiaosheng Wan
Phd Student
China University of Petroleum (Beijing)
Experimental Study on the Influence Factors of Wettability in Tight Rock
Mr Rahul Raj
Masters Student
Indian Institute Of Technology Kanpur
Deformation localisation and faulting processes in mountain belts: Findings from PIV analysis of sandbox experiments
Mr Deniro Costa
MSc Researcher
Federal University of Minas Gerais (UFMG), Brazil
Structural Compartmentalization and Section Restoration in the Tupi Field, Santos Basin, Brazil
Ms Hanieh Razaji
Phd Student
University Of Beheshti
Deformation analysis based on seismic and well data in the Pazanan Anticline, Southwestern Iran
Mr Nadir Zeynalli
Junior Researcher
Eilink LLC
Static KH prediction using Uncertainty-Informed Deep Learning Models in South Caspian Basin
Ms Gulnar Yerkinkyzy
Principal Subsurface Engineer
Equinor
Insights and Lessons from Machine Learning-Driven Prediction of Porosity and Permeability Using Comprehensive Norwegian Field Data
