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Keywords: bayesian inference
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3915405
... We use Bayesian inference and the concept of facies-mapping to estimate reservoir properties of interest from seismic partial-angle stacks. The facies are parameterized by probability density functions (PDFs) designed to cover the multi-dimensional input seismic property space. The mapping...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904212
... separation are used to showcase the proposed methodology. upstream oil & gas artificial intelligence geology reservoir characterization realization machine learning applied geoscience international deviation geologist bayesian inference wavefield separation deep variational...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3904696
... Uncertainty quantification (UQ) is crucial for seismic full waveform inversion (FWI), which is a highly ill-posed inverse problem. In the framework of Bayesian inference, we propose to use an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm to quantify the uncertainties of FWI...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910809
... probability matrix. geologist sedimentary rock united states government clastic rock artificial intelligence machine learning rock type reservoir geomechanics geology bayesian inference reservoir characterization upstream oil & gas lithofluid facies seismic model prediction elastic...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745753
... log analysis lateral applied geoscience geologist computed interpretation reservoir navigation well logging probability american association winkler energy 10 bayesian inference reservoir characterization wellbore node information correlation international society marginal...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746659
... gravity data and highlights the computational advantages of sparse geometric parameterization. risk management ellipse bayesian inference information machine learning gravity inversion exploration geophysicist international society reservoir characterization deviation geophysics upstream...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751985
... geomechanical and petrophysical properties are associated with the stratigraphically controlled stacking pattern and distribution of lithologies and rock types. structural geology upstream oil & gas oklahoma machine learning reservoir characterization artificial intelligence bayesian inference...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750132
... proposal is demonstrated on a joint inverse problem employing gravity and seismic data within a synthetic testbed. reservoir simulation upstream oil & gas bayesian inference artificial intelligence inversion posterior information quantification applied geoscience machine learning...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751538
... the effectiveness of our approach. upstream oil & gas artificial intelligence reservoir simulation quantification bayesian inference machine learning fwi applied geoscience seismic model international gmcmc dataset waveform inversion american association inversion reservoir characterization...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745382
... and application with a field example. artificial intelligence prediction upstream oil & gas international cgan neural network reservoir characterization expanded abstract exploration geophysicist applied geoscience american association bayesian inference machine learning dataset seismic...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745255
... and the nonlinear operators. neural network reservoir characterization discriminator bayesian inference hicond-gan applied geoscience american association upstream oil & gas artificial intelligence bayesian rockavo operator international energy 10 latent zoeppritz equation inversion...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594250
... will be based on unique solver. The Bayesian framework works well in AVO solving the following equation: inversion, which merges multi-formation together to generate posterior distributions of P-wave velocity, S-wave velocity dobs = + (1) and density. In the Bayesian inference, prior distribution, serving...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581836
... Uncertainty quantification provides quantitative measures on the reliability of candidate solutions of ill-posed inverse problems. Due to their sequential nature, Monte Carlo sampling methods require large numbers of sampling steps for accurate Bayesian inference and are often computationally...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583596
... as observations. The Bayesian inference employs Markov-chain Monte Carlo (McMC) sampling with parallel tempering and principal component diminishing adaption to ensure efficient sampling. The model-parameter uncertainties are quantified through a series of posterior distributions. In the inversion, we adopt new...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583705
... the first application of NF in interpolating (synthetic) seismic data. The statistical measurements retrieved from the network can be used to better characterize the data as it is passed to the post-processing phase. bayesian inference data interpolation reservoir characterization reservoir...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579316
... of sufficient availability of manually interpreted labels (or facies), the supervised learning model accurately recovers the facies distribution. When the interpreted labels are limited, the semisupervised algorithm can be efficiently applied to avoid overfitting. Facies prediction with Bayesian inference...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427560
... learning reservoir simulation bayesian inference model parametrization multimodal distribution model parameter facies artificial intelligence transdimensional ava inversion inverse problem reservoir characterization upstream oil & gas posterior distribution iteration inversion geophysics...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428150
... characterization bayesian inference machine learning neural network posterior distribution upstream oil & gas full-waveform inversion inverse problem artificial intelligence kullback-leibler divergence geophysics seg international exposition architecture application welling invertible network...

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