Xiaodong Luo
Seniorforsker
xluo@norceresearch.no
+47 51 87 56 25
Nygårdsgaten 112, 5008 Bergen, Norway
Divisjon
Energi og Teknologi
Forskningstema
CCS / CCUS: Karbonlagring og utnyttelse
Hydrogen
Dataassimilering
Reservoarmodellering og -simulering
Forskergrupper
Dataassimilering og optimalisering
Mer info om Xiaodong
Last ned pressebildeProsjekter
Publikasjoner
-
Vitenskapelig artikkelRegularized Seismic Full Waveform Inversion Using Inverse Scattering Approach and Preconditioned L-BFGS Optimization– IEEE Transactions on Geoscience and Remote Sensing 2025
-
Vitenskapelig artikkelCombining Envelope Inversion and Full Waveform Inversion for Velocity Model Building Using OBN Data– Pure and Applied Geophysics (PAGEOPH) 2025
-
Vitenskapelig artikkelMultiparameter full waveform inversion for velocity and attenuation reconstruction using nearly-constant Q models– IEEE Transactions on Geoscience and Remote Sensing 2024
-
Vitenskapelig artikkelImproving the training performance of generative adversarial networks with limited data: Application to the generation of geological models– Computers & Geosciences 2024
-
Vitenskapelig kapittelInvestigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model– 2024
-
KonferanseforedragInvestigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model– SPE Norway Subsurface Conference 2024
-
Vitenskapelig artikkelBetter stopping through cross validation in an iterative ensemble smoother: A perspective from supervised machine learning– Geoenergy Science and Engineering 2024
-
KonferanseforedragCross-validation in an iterative ensemble smoother: Stopping earlier for better– The 19th EnKF workshop (2024) 2024
-
KonferanseforedragCross validation in an iterative ensemble smoother for reservoir data assimilation– Workshop of Energy Norway Conference 2024 2024
-
Vitenskapelig artikkelCharacterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization– Journal of Hydrology 2024
-
Vitenskapelig artikkelUnderground hydrogen storage (UHS) in natural storage sites: A perspective of subsurface characterization and monitoring– Fuel 2024
-
Vitenskapelig kapittelEnsemble-Based Subsurface Characterization for Underground Hydrogen Storage– 2023
-
Vitenskapelig artikkelHyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother– Geoenergy Science and Engineering 2023
-
Vitenskapelig artikkelA critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization– Fuel 2023
-
Vitenskapelig artikkelCombining direct and indirect sparse data for learning generalizable turbulence models– Journal of Computational Physics 2023
-
Vitenskapelig artikkelImproving history matching performance in a 3D field-scale case study by combining tracer and production data– Geoenergy Science and Engineering 2023
-
Vitenskapelig kapittelJoint History Matching of Production and Tracer Data Through an Iterative Ensemble Smoother: A 3D Field-Scale Case Study– 2022
-
Vitenskapelig artikkelContinuous Hyper-parameter OPtimization (CHOP) in an ensemble Kalman filter– Frontiers in Applied Mathematics and Statistics 2022
-
Vitenskapelig artikkelEnsemble Kalman method for learning turbulence models from indirect observation data– Journal of Fluid Mechanics 2022
-
Vitenskapelig artikkelImproving pseudo-optimal Kalman-gain localization using the random shuffle method– Journal of Petroleum Science and Engineering 2022
-
Vitenskapelig artikkelJoint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study– Energies 2022
-
Vitenskapelig artikkelData assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother– Computational Geosciences 2022
-
ForskningsrapportWorkflow for adding 4D seismic data in history matching– Universitetet i Stavanger 2021
-
KonferanseforedragAn ensemble data assimilation workflow for subsurface characterization– Talk Series in Computer Science and Applications - AML-CS 2021
-
Vitenskapelig artikkelNovel iterative ensemble smoothers derived from a class of generalized cost functions– Computational Geosciences 2021
-
Vitenskapelig artikkelData assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations– Hydrology and Earth System Sciences (HESS) 2021
-
Vitenskapelig artikkelAccounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning– Journal of Petroleum Science and Engineering 2021
-
KonferanseforedragDiscrimination of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble-based method– Workshop on ensemble-based 4D seismic history matching 2020
-
KonferanseforedragDecoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir– SEG Annual Meeting 2020 2020
-
Vitenskapelig kapittelDecoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir– 2020
-
Vitenskapelig artikkelHandling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme– SPE Journal 2020
-
Vitenskapelig kapittelAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– 2020
-
Vitenskapelig kapittelNovel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions– 2020
-
KonferanseforedragAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– SPE Norway Subsurface Conference 2020
-
KonferanseforedragNovel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions– ECMOR XVII 2020
-
Vitenskapelig artikkel4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method– Journal of Petroleum Science and Engineering 2020
-
KonferanseforedragA Geosteeering Decision Support System that Balances Recovery and Drilling Risks– Formation Evaluation and Geosteering Workshop 2019
-
KonferanseforedragRealtime multi-objective optimization of well trajectory under geological uncertainty– ICIAM 2019 Congress 2019
-
Vitenskapelig artikkelSimultaneous assimilation of production and seismic data: application to the Norne field– Computational Geosciences 2019
-
Vitenskapelig kapittelUncertainty quantification in non-linear seismic inversion: A comparison of three different methods– 2019
-
KonferanseforedragAn ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: a real field case study– NORA (The Norwegian Artificial Intelligence Research Consortium) meeting at NORCE 2019
-
Vitenskapelig artikkelAutomatic and adaptive localization for ensemble-based history matching– Journal of Petroleum Science and Engineering 2019
-
KonferanseforedragEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– The 14th International Enkf Workshop 2019
-
KonferanseforedragAn ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: A real field case study– FORCE symposium: Applied Machine Learning and Advanced Analytics with Oil and Gas Data 2019
-
KonferanseforedragEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– Department Colloquium, Department of Mathematics, University of Bergen 2019
-
Vitenskapelig kapittelEnsemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study– 2019
-
Vitenskapelig artikkelA decision support system for multi-target geosteering– Journal of Petroleum Science and Engineering 2019
-
Vitenskapelig artikkelEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– PLOS ONE 2019
-
KonferanseforedragUse of K-SVD Algorithm to Sparsely Represent 4D Seismic Data– IOR Norway 2019 2019
-
Vitenskapelig kapittelSparse Representation of 4D Seismic Signal Based on Dictionary Learning– 2019
-
KonferanseforedragSparse Representation of 4D Seismic Signal Based on Dictionary Learning– SPE Norway One Day 2019
-
KonferanseforedragAn ensemble based learning framework for history matching with imperfect forward simulators– The 11th annual meeting of International Society for Porous Media (InterPore 2019). 2019
-
Vitenskapelig artikkelHistory Matching the Full Norne Field Model Using Seismic and Production Data– SPE Journal 2019
-
KonferanseforedragHistory Matching Production and 4D Seismic Data in the Norne Field– FORCE - 30 years of 4D seismic on the Norwegian Continental Shelf 2018
-
Vitenskapelig kapittelPetrophysical parameters inversion from seismic data using an ensemble-based method - A case study from a compacting reservoir– 2018
-
Vitenskapelig artikkelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study– SPE Reservoir Evaluation and Engineering 2018
-
Vitenskapelig kapittelHistory Matching Of Real Production And Seismic Data In The Norne Field– 2018
-
Vitenskapelig kapittelTowards automatic and adaptive localization for ensemble-based history matching– 2018
-
KonferanseforedragTowards Automatic And Adaptive Localization For Ensemble-Based History Matching– ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery 2018
-
Vitenskapelig kapittelData Assimilation in Oceanography: Current Status and New Directions– 2018
-
KonferanseforedragHistory Matching of Real Production and Seismic Data in the Norne Field– IEA-EOR Energy Technology Network Symposium 2018
-
KonferanseforedragHistory Matching of Real Production and Seismic Data in the Norne Field– Foredrag ved ConocoPhillips 2018
-
Vitenskapelig artikkelEfficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering– PLOS ONE 2018
-
Vitenskapelig kapittelData driven adaptive localization for ensemble-based data assimilation problems– 2018
-
Vitenskapelig kapittelHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 2018
-
KonferanseforedragHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 80th EAGE Annual Conference and Exhibition 2018 2018
-
KonferanseforedragData driven adaptive localization for ensemble-based data assimilation problems– CMWR2018: COMPUTATIONAL METHODS IN WATER RESOURCES XXII 2018
-
KonferanseforedragBig data assimilation and uncertainty quantification in ensemble-based 4D seismic history matching– The 13th International EnKF workshop 2018
-
KonferanseforedragHistory matching real production and seismic data for the Norne field– EnKF Workshop 2018 2018
-
KonferanseforedragEnsemble-based decision support system for geosteering– NFES Stavanger Monthly Technical Meeting 2018
-
KonferanseforedragAn Interactive Decision Support System for Geosteering Operations– SPE Norway One Day Seminar 2018
-
Vitenskapelig kapittelAn Interactive Decision Support System for Geosteering Operations– 2018
-
KonferanseforedragBig data assimilation and uncertainty quantification in 4D seismic history matching– IOR NORWAY 2018 Workshop 2018
-
Vitenskapelig kapittelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– 2018
-
KonferanseforedragCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– SPE Norway One Day Seminar 2018
-
Vitenskapelig artikkelCorrelation-Based Adaptive Localization With Applications to Ensemble-Based 4D-Seismic History Matching– SPE Journal 2018
-
Vitenskapelig kapittelEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– 2017
-
KonferanseforedragEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– SEG Annual Meeting 2017 2017
-
KonferanseforedragUse of correlation-based localization for history matching seismic data– SIAM GS 17 2017
