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markov chain

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Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31561-MS
... in the study based on the range of these key uncertain chemical properties and nine representative chemical properties realizations were selected based on the total oil recovery. Robust optimization work was performed using Markov Chain Monte Carlo (MCMC) algorithm to determine the optimum ASP flooding design...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583101
... machine learning history matching posterior distribution reservoir simulation proposal distribution water saturation seismic inversion artificial intelligence seismic data inverse problem iteration algorithm porosity inversion mcmc method geophysics markov chain monte carlo...
Proceedings Papers

Paper presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, June 28–July 1, 2020
Paper Number: ARMA-2020-1705
... ABSTRACT The interpretation of tracer recovery data from subsurface tracer testing is an important yet challenging task for reservoir characterization. In the present study, we explore the applicability of a multiple-chain Markov chain Monte Carlo (MCMC) approach to the interpretation of tracer...
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Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214437
... are computationally expensive since they require repeated solution of the wave equation for each proposed velocity model. One approach to reduce the computational expense is two-stage Markov chain Monte Carlo (MCMC), wherein a computationally inexpensive filter is used to quickly reject unacceptable models...
Proceedings Papers

Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193918-MS
... by sampling the posterior pdf. The Markov chain Monte Carlos (MCMC) method provides the means to sample the posterior pdf, although with an extremely high computational cost because, for each new state proposed in the Markov chain, the evaluation of the acceptance probability requires one reservoir simulation...
Journal Articles
Proceedings Papers

Paper presented at the SPE Canada Unconventional Resources Conference, March 13–14, 2018
Paper Number: SPE-189809-MS
... on the reservoir scale, even for single phase production behavior. Then a model based on Markov chain is presented to demonstrate the proposed anomalous diffusion by simulating the partical normal diffusion on a geometric graph and then calculating the relation of the mean square displacement vs. time...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17465154
... of fracture weaknesses. Finally, an AVAZ direct inversion method of normal and tangential fracture weaknesses is proposed with the nonlinear Markov chain Monte Carlo (McMC) strategy. So we can eliminate the influence of isotropic background elastic properties on the fracture weakness properties and obtain...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17751165
... ABSTRACT The Markov chain Monte Carlo (McMC) stochastic approach is widely used to estimate subsurface properties. However, estimating uncertainty quantitatively is also very important when performing stochastic inversion. Therefore, the goal of this paper is to apply the transdimensional...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17675196
... of the registration problem, I use a Markov chain Monte Carlo method to solve it. constraint about the sparsity of the local warping functions is incorporated to eliminate unreasonable solutions. No window selections are required in this procedure. Several numerical examples demonstrate that the proposed misfit...
Journal Articles
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13865449
... equation mcmc acoustic wave equation wave equation vdovina reservoir simulation bayesian inference markov chain monte carlo method inversion velocity field seg seg international exposition artificial intelligence correlation simulation perturbation machine learning annual meeting...

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