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
Big Data
Hydrogen
Dataassimilering
Reservoarmodellering og -simulering
Maskinlæring
Forskergrupper
Dataassimilering og optimalisering
Mer info om Xiaodong
Last ned pressebildeProsjekter
Publikasjoner
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Vitenskapelig artikkelA critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization– Fuel 2023
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Vitenskapelig artikkelCombining direct and indirect sparse data for learning generalizable turbulence models– Journal of Computational Physics 2023
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Vitenskapelig artikkelCombining direct and indirect sparse data for learning generalizable turbulence models– Journal of Computational Physics 2023
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Vitenskapelig artikkelImproving history matching performance in a 3D field-scale case study by combining tracer and production data– Geoenergy Science and Engineering 2023
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Vitenskapelig kapittelJoint History Matching of Production and Tracer Data Through an Iterative Ensemble Smoother: A 3D Field-Scale Case Study– 2022
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Vitenskapelig artikkelContinuous Hyper-parameter OPtimization (CHOP) in an ensemble Kalman filter– Frontiers in Applied Mathematics and Statistics 2022
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Vitenskapelig artikkelEnsemble Kalman method for learning turbulence models from indirect observation data– Journal of Fluid Mechanics 2022
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Vitenskapelig artikkelImproving pseudo-optimal Kalman-gain localization using the random shuffle method– Journal of Petroleum Science and Engineering 2022
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Vitenskapelig artikkelJoint History Matching of Multiple Types of Field Data in a 3D Field-Scale Case Study– Energies 2022
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Vitenskapelig artikkelData assimilation with soft constraints (DASC) through a generalized iterative ensemble smoother– Computational Geosciences 2022
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ForskningsrapportWorkflow for adding 4D seismic data in history matching– Universitetet i Stavanger 2021
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KonferanseforedragAn ensemble data assimilation workflow for subsurface characterization– Talk Series in Computer Science and Applications - AML-CS 2021
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Vitenskapelig artikkelNovel iterative ensemble smoothers derived from a class of generalized cost functions– Computational Geosciences 2021
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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
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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
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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
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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
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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
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Vitenskapelig artikkelHandling Big Models and Big Data Sets in History-Matching Problems through an Adaptive Local Analysis Scheme– SPE Journal 2020
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Vitenskapelig kapittelAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– 2020
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Vitenskapelig kapittelNovel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions– 2020
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KonferanseforedragAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– SPE Norway Subsurface Conference 2020
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KonferanseforedragNovel Ensemble Data Assimilation Algorithms Derived from A Class of Generalized Cost Functions– ECMOR XVII 2020
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Vitenskapelig artikkel4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method– Journal of Petroleum Science and Engineering 2020
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KonferanseforedragA Geosteeering Decision Support System that Balances Recovery and Drilling Risks– Formation Evaluation and Geosteering Workshop 2019
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KonferanseforedragRealtime multi-objective optimization of well trajectory under geological uncertainty– ICIAM 2019 Congress 2019
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Vitenskapelig artikkelSimultaneous assimilation of production and seismic data: application to the Norne field– Computational Geosciences 2019
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Vitenskapelig kapittelUncertainty quantification in non-linear seismic inversion: A comparison of three different methods– 2019
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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
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Vitenskapelig artikkelAutomatic and adaptive localization for ensemble-based history matching– Journal of Petroleum Science and Engineering 2019
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KonferanseforedragEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– The 14th International Enkf Workshop 2019
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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
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KonferanseforedragEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– Department Colloquium, Department of Mathematics, University of Bergen 2019
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Vitenskapelig kapittelEnsemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study– 2019
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Vitenskapelig artikkelA decision support system for multi-target geosteering– Journal of Petroleum Science and Engineering 2019
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Vitenskapelig artikkelEnsemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators– PLOS ONE 2019
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KonferanseforedragUse of K-SVD Algorithm to Sparsely Represent 4D Seismic Data– IOR Norway 2019 2019
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Vitenskapelig kapittelSparse Representation of 4D Seismic Signal Based on Dictionary Learning– 2019
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KonferanseforedragSparse Representation of 4D Seismic Signal Based on Dictionary Learning– SPE Norway One Day 2019
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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
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Vitenskapelig artikkelHistory Matching the Full Norne Field Model Using Seismic and Production Data– SPE Journal 2019
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KonferanseforedragHistory Matching Production and 4D Seismic Data in the Norne Field– FORCE - 30 years of 4D seismic on the Norwegian Continental Shelf 2018
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Vitenskapelig kapittelPetrophysical parameters inversion from seismic data using an ensemble-based method - A case study from a compacting reservoir– 2018
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Vitenskapelig artikkelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study– SPE Reservoir Evaluation and Engineering 2018
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Vitenskapelig kapittelHistory Matching Of Real Production And Seismic Data In The Norne Field– 2018
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Vitenskapelig kapittelTowards automatic and adaptive localization for ensemble-based history matching– 2018
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KonferanseforedragTowards Automatic And Adaptive Localization For Ensemble-Based History Matching– ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery 2018
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Vitenskapelig kapittelData Assimilation in Oceanography: Current Status and New Directions– 2018
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KonferanseforedragHistory Matching of Real Production and Seismic Data in the Norne Field– IEA-EOR Energy Technology Network Symposium 2018
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KonferanseforedragHistory Matching of Real Production and Seismic Data in the Norne Field– Foredrag ved ConocoPhillips 2018
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Vitenskapelig artikkelEfficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering– PLOS ONE 2018
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Vitenskapelig kapittelData driven adaptive localization for ensemble-based data assimilation problems– 2018
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Vitenskapelig kapittelHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 2018
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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
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KonferanseforedragData driven adaptive localization for ensemble-based data assimilation problems– CMWR2018: COMPUTATIONAL METHODS IN WATER RESOURCES XXII 2018
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KonferanseforedragBig data assimilation and uncertainty quantification in ensemble-based 4D seismic history matching– The 13th International EnKF workshop 2018
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KonferanseforedragHistory matching real production and seismic data for the Norne field– EnKF Workshop 2018 2018
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KonferanseforedragEnsemble-based decision support system for geosteering– NFES Stavanger Monthly Technical Meeting 2018
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KonferanseforedragAn Interactive Decision Support System for Geosteering Operations– SPE Norway One Day Seminar 2018
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Vitenskapelig kapittelAn Interactive Decision Support System for Geosteering Operations– 2018
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KonferanseforedragBig data assimilation and uncertainty quantification in 4D seismic history matching– IOR NORWAY 2018 Workshop 2018
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Vitenskapelig kapittelCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– 2018
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KonferanseforedragCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– SPE Norway One Day Seminar 2018
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Vitenskapelig artikkelCorrelation-Based Adaptive Localization With Applications to Ensemble-Based 4D-Seismic History Matching– SPE Journal 2018
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Vitenskapelig kapittelEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– 2017
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KonferanseforedragEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– SEG Annual Meeting 2017 2017
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KonferanseforedragUse of correlation-based localization for history matching seismic data– SIAM GS 17 2017
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Vitenskapelig kapittelEstimation of Pressure-Saturation and Porosity Fields from Seismic AVA Data Using an Ensemble Based Method– 2017
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Vitenskapelig kapittelData Driven Adaptive Localization With Applications To Ensemble-Based 4D Seismic History Matching– 2017
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Vitenskapelig artikkelEnsemble based 4D seismic history matching using a sparse representation of AVA data– SEG technical program expanded abstracts 2016
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Vitenskapelig artikkelEstimating Observation Error Covariance Matrix of Seismic Data from a Perspective of Image Denoising– Computational Geosciences 2016
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Vitenskapelig artikkelTime lapse CSEM reservoir monitoring of the Norne field with vertical dipoles– SEG technical program expanded abstracts 2016
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Vitenskapelig kapittelEstimating observation error covariance matrix of seismic data from a perspective of image processing– 2016
