Application of multilevel concepts for uncertainty quantification in reservoir simulation (original) (raw)

Multilevel Markov Chain Monte Carlo (MLMCMC) For Uncertainty Quantification

Doaa Elsakout

Day 2 Tue, September 15, 2015, 2015

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Multilevel Monte Carlo Method with Application to Uncertainty Quantification in Oil Reservoir Simulation

jj hack

2014

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Reversible and non-reversible Markov chain Monte Carlo algorithms for reservoir simulation problems

Michela Ottobre

Computational Geosciences, 2020

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Prediction under uncertainty in reservoir modeling

Malcolm Sambridge

Journal of Petroleum Science and Engineering, 2004

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Quantifying Uncertainty in Reservoir Performance Prediction

Malcolm Sambridge

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Uncertainty-Aware Surrogate Model For Oilfield Reservoir Simulation

Ajitabh Kumar

ArXiv, 2020

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A Comparative Study of the Probabilistic-Collocation and Experimental-Design Methods for Petroleum-Reservoir Uncertainty Quantification

Pallav Sarma

SPE Journal, 2011

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A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques

Denis Schiozer

Journal of Petroleum Science and Engineering, 2010

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Uncertainty quantification of reservoir performance predictions using a stochastic optimization algorithm

Albert Reynolds

Computational Geosciences, 2011

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STOCHASTIC METHODS IN RESERVOIR ENGINEERING

HUSEYIN MURAT CEKIRGE

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Quantifying Uncertainties Associated With Reservoir Simulation Studies Using a Surrogate Reservoir Model

Shahab Mohaghegh

Proceedings of SPE Annual Technical Conference and Exhibition, 2006

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High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo

Anne Reinarz

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021

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Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods

ANIRBAN MONDAL

Advances in Water Resources, 2010

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Multi-Fidelity Bayesian Approach for History Matching in Reservoir Simulation

Hussein Hoteit

Day 4 Wed, December 01, 2021, 2021

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Streamline-Based History Matching and Uncertainty--Markov-Chain Monte Carlo Study of an Offshore Turbidite Oil Field

Akhil Datta-gupta

Proceedings of SPE Annual Technical Conference and Exhibition, 2007

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Reservoir characterization using Monte Carlo simulation and Stochastic analyses. Case studies: Off-shore Nile Delta and Ras Fanar oil field, Egypt

Aref Lashin

liag-hannover.de

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Data-driven stochastic modeling for multi-purpose reservoir simulation

Andreas Schlenkhoff

Journal of Applied Water Engineering and Research, 2016

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Uncertainty Propagation of Hydrologic Modeling in Water Supply System Performance: Application of Markov Chain Monte Carlo Method

Samuel Sandoval Solis

Journal of Hydrologic Engineering, 2018

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Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

Diederik Jacques

Water Resources Research, 2013

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Reserve Prediction for One Iraqi Exploration Oil Field Using Probabilistic Monte Carlo Method

Yahya J . Tawfeeq

13th International Conference on Recent Development in Engineering, Science, Humanities and Management, 2020

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STORM: Integrated 3D Stochastic Reservoir Modeling Tool for Geologists and Reservoir Engineers

Lars Holden

SPE Computer Applications, 1995

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Uncertainty assessment and data worth in groundwater flow and mass transport modeling using a blocking Markov chain Monte Carlo method

J. Jaime Gómez-Hernández

Journal of Hydrology, 2009

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Sparse Probabilistic Collocation for Uncertainty Quantification in Reservoir Engineering

Ramiro Willmersdorf

Proceedings of 10th World Congress on Computational Mechanics, 2014

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Quantifying uncertainty in reservoir performance using streamtubes

Malcolm Sambridge

Mathematical Geology, 1996

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A Hybrid Markov Chain Monte Carlo Method for Generating Permeability Fields Conditioned to Multiwell Pressure Data and Prior Information

Richard Redner

SPE Annual Technical Conference and Exhibition, 1996

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Groundwater Flow Meta-model for Multilevel Monte Carlo Methods

Jan Březina

2021

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A framework to quantify uncertainty in simulations of oil transport in the ocean

Rafael Cardoso Gonçalves

Journal of Geophysical Research: Oceans, 2016

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Quantifying Prediction Uncertainty in Reservoir Modelling Using Streamline Simulation

Malcolm Sambridge

2002

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Uncertainty Analysis of a Giant Oil Field in the Middle East Using Surrogate Reservoir Model

Maher Kenawy

Abu Dhabi International Petroleum Exhibition and Conference, 2006

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