Suivre
Lewis Li
Lewis Li
Research Scientist, Chevron
Adresse e-mail validée de alumni.stanford.edu
Titre
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Année
Quantifying uncertainty in subsurface systems
C Scheidt, L Li, J Caers
John Wiley & Sons, 2018
1702018
Direct forecasting of reservoir performance using production data without history matching
A Satija, C Scheidt, L Li, J Caers
Computational Geosciences 21, 315-333, 2017
582017
Universal kriging with training images
L Li, T Romary, J Caers
Spatial Statistics 14, 240-268, 2015
182015
Assessing seismic uncertainty via geostatistical velocity-model perturbation and image registration: An application to subsalt imaging
L Li, J Caers, P Sava
The Leading Edge 34 (9), 1064-1070, 2015
132015
SGEMS-UQ: An uncertainty quantification toolkit for SGEMS
L Li, A Boucher, J Caers
Computers & geosciences 62, 12-24, 2014
102014
System and method for accelerated computation of subsurface representations
T Sun, SB Strebelle, AD Harris, ML Amaru, LI Lewis
US Patent 11,604,909, 2023
92023
Quantifying uncertainty in downscaling of seismic data to high-resolution 3-D lithological models
Z Yin, M Amaru, Y Wang, L Li, J Caers
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
92022
Generation of subsurface representations using layer-space
LI Lewis, T Sun, SB Strebelle
US Patent 11,010,969, 2021
72021
A Bayesian approach to causal and evidential analysis for uncertainty quantification throughout the reservoir forecasting process
L Li
Stanford University, 2017
72017
Correlation matrix for simultaneously correlating multiple wells
MDS Tao Sun, LI Lewis, Brett M Hern, Fabien J Laugier, Maisha Lara Amaru ...
US Patent 11,249,220, 2022
62022
Bridging Computational Stratigraphy and Reservoir Simulation for Geologically Realistic High-Resolution Reservoir Modeling
B Li, L Li, XH Wen, T Sun
SPE Reservoir Simulation Conference, 2023
42023
Integration of seismic data in reservoir modeling through seismically constrained facies models
M Amaru, L Li, A Tyshkanbayeva
The Leading Edge 41 (12), 815-823, 2022
22022
Geostatistical reservoir modeling using computational stratigraphy models on non-Cartesian grids
L Li, T Sun, J De La Colina
Second International Meeting for Applied Geoscience & Energy, 1467-1471, 2022
22022
Uncertainty maps for seismic images through geostatistical model randomization
L Li, J Caers, P Sava
SEG Technical Program Expanded Abstracts 2014, 1496-1500, 2014
22014
Vacant Parking Spot Detection
M Jones, L Li
22012
Systems and methods for predicting hydrocarbon production and assessing prediction uncertainty
J Thorne, LI Lewis
US Patent 11,480,709, 2022
12022
Quantifying Uncertainty of Fracture Intensity in Reservoirs
S Vitel, L Li
Petroleum Geostatistics 2019 2019 (1), 1-5, 2019
12019
Automated Transcription of Guitar Music
CF Arndt, L Li
1
Machine learning approach for generating subsurface representations in layer-space
LI Lewis, T Sun
US Patent App. 17/732,974, 2023
2023
Systems and methods for estimating a well design reservoir productivity as a function of position in a subsurface volume of interest based on a reservoir productivity parameter
SJ Prochnow, L Reddy, P Papazis, LI Lewis, J Thorne
US Patent 11,423,197, 2022
2022
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