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Keywords: model parameter
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100977
..., facilitating a much more automatic subsurface model building workflow. geologist artificial intelligence fwi iteration optimization problem optimization optimization method geology reservoir characterization model parameter local optimization inversion waveform inversion hybrid optimization...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092012
... are incorporated into the objective function to constrain the model parameters or their gradients, achieving the direct coupling or structural coupling of joint inversion. To validate the effectiveness of the joint inversion scheme, we conduct a comparative analysis of the slice images derived from separate...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4099838
... parameters of fracture-type reservoirs, exhibiting robust noise resistance. geologist artificial intelligence geological subdiscipline inversion machine learning deep learning reservoir characterization model parameter hti media generalization ability loss function snr exploration...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100476
... space, subject to constraints, is exploited to produce improved resistance estimates where the model parameters are poorly resolved by the data. geology resistance background resistance direct linear electromagnetic inverse constraint applied geoscience & energy 10 equation geologist...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581155
... tensor gravity gradiometry (FTG) data collected in the Nordkapp Basin in Barents Sea, Norway. stabilizer constable boundary artificial intelligence data collected model parameter upstream oil & gas imaging barent sea reservoir characterization applied geoscience joint 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-2021-3593347
... Full waveform inversion (FWI) uses all information in seismic data to estimate high-resolution earth model parameters. It is an ill-posed nonlinear inverse problem that is very computationally demanding and is prone to sub-optimal convergence in local minima. In this work, we address...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594471
..., such as those contained in wells. We have developed a method for EFWI that enforces explicit physical relationships between the model parameters. The underlying assumption is that a strong correlation between the desired physical parameters can be observed from existing data. We have examined constraining...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594236
... Field Research Station in Newell County, Alberta, Canada. The results are consistent with the regional lithology background. upstream oil & gas mode dispersion curve inversion result artificial intelligence posterior distribution model parameter reservoir characterization applied...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594666
... to achieve the spectrum whitening function. Accordingly, the virtual source is computed by summing all of the single-frequency misfits. Based on the adjoint method, the gradients corresponding to model parameters are calculated via frequency-domain gradient formulas, where the phase-sensitive detection (PSD...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580599
... in the multilayered model, which are substituted into the approximation form for the extension. Note that these effective parameters are not the real model parameters but are reminiscent of the acoustic ORT model parameterization that is used only for the modeling computational purpose. These effective parameters...
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
... Using a physics-based shear-tensile crack model, we develop a Bayesian approach to simultaneously calculate source mechanisms for a set of microearthquakes and rigorously quantify the uncertainties of model parameters. To that end, we use the normalized displacement amplitudes of direct P-waves...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3418400
... of the model parameters, rather than simply setting it to zero. Then, the corresponding P-wave phase and group velocities for the new acoustic approximation are derived. For this new acoustic approximation, the kinematics is described by a new eikonal equation for pure P-wave propagation, which defines the new...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428098
... uncertainty estimation neural network seismic data epistemic uncertainty prediction seg international exposition deep neural network exploration geophysicist 10 proceedings artificial intelligence approximation impedance inversion model parameter elastic property inference realization...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428395
... fwime model parameter exploration geophysicist 10 inversion elastic parameter Elastic-parameter estimation by combining full-waveform inversion by model extension and target- oriented elastic inversion Ettore Biondi and Guillaume Barnier, Stanford University SUMMARY employing the FWIME algorithm...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428333
... machine learning deep learning model parameter seg international exposition artificial intelligence model misfit iteration reservoir characterization inverse problem magnetotelluric inverse problem inversion algorithm data misfit rnn-based gradient prediction gradient neural network...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3415056
... to order these patches into a Theory and Method regular smooth sequence, and use a simple smoothing filter to obtain a stable reconstructed result. Eventually, we apply FWI tries to update model parameter through minimizing an the proposed multi-scale full-waveform inversion constrained with patch-ordering...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3418408
... exploration geophysicist 10 upstream oil & gas ppdf bayesian linearized inversion seg international exposition stochastic inversion result calculation burden model parameter inversion stochastic inversion inversion method seismic data gaussian theory inversion result matrix...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3413168
... probability density distribution of model parameters, which is helpful for the uncertainty analysis of the inversion and Biot (1941, 1956) established a static mechanical model of sets a theoretical fundament for reservoir characterization. fluid-bearing porous media and described the theory of elastic wave...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424997
... the synthetic transient EM (TEM) dataset. network hyperparameters and then used to predict the model parameter distributions from input observed measurements. Introduction We integrate the two approaches and implement a fully functional feedback loop between the physics-driven and Inversion through machine...

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