AI-Driven Reservoir Characterisation and Geologic Modelling

Tuesday, 13 January

1130 - 1300

Technical Session Room 2

Technical Session

This session includes abstract-only submissions for 25192, 25218, and 25196. Abstract-only submissions denote that the author/speaker(s) have opted for abstract only submission, and these technical papers are not available in the Digital Proceedings/OnePetro.

Session Chairpersons

Jean-Marc Rodriguez - Indipendant Concultant

Wathik Alaaraji - TGS

1130-1150 25211
Data-driven Sw Prediction and Porosity Typing from Synthetic Vp/Vs: A Feasibility Approach for Enhancing Hydrocarbon Recovery in NFRs

L.A. Castellanos Bassoult, PEMEX; R. Alcantara Viruete, Pemex E&P; A. Velasquez, IkalOilMx; A. Perez, PEMEX
1150-1210 25213
New Exploration Discovery Aided by Automatic Facies Classification in Deepwater Mixed Volcanic-carbonate-igneous Rock, South China Sea

L. Guan, CNOOC - Shenzhen Ltd.; B. Liu, C. Xu, S. Uluyuz, Baker Hughes
1210-1230 25192
3D Geological Modeling Using Generative AI

D. Anikiev, A.M. Alqubalee, U.B. Waheed, King Fahd University of Petroleum & Minerals
1230-1250 25229
Accelerated Subsurface Characterization Powered by Science-aware Machine Learning

K. Havelia, O. Zimina, SLB
Alternate 25218
Validity of Pre-trained Deep Learning Models for New Scanning Electron Microscopy (SEM) Rock Image Samples

S. Alhumaidan, Saudi Aramco; M. Liu, T. Mukerji, Stanford University
Alternate 25196
From Rock To Digital: Unveiling Unconventional Reservoir Heterogeneity Through High-resolution Core Analysis And Machine Learning

S. Chan, National Petroleum Services Co Saudi Arabia; M. Muhammad, NESR
Alternate 25223
Unveiling Subsurface Pinnacle Reefs Using Seismic Attributes and Machine Learning- Based Image Segmentation of 3D Seismic Data

M. Khan, R. Alohali, S. Ali, L. Fakhurji, A. Altuwayrah, Saudi Aramco

Event Programme

AI-Driven Reservoir Characterisation and Geologic Modelling