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Keywords: inverse problem
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Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3415191
...) for solving this inverse problem is proposed. Combining the conventional gradient based inversion and machine learning scheme, SDM has the flexibility to incorporate prior information, capability of skipping local minima, and accelerated convergence. Besides, by utilizing real-time feedback obtained...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3417560
... In inverse problems, uncertainty quantification (UQ) deals with a probabilistic description of the solution nonuniqueness and data noise sensitivity. Setting seismic imaging into a Bayesian framework allows for a principled way of studying uncertainty by solving for the model posterior...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425521
... seismic inversion upstream oil & gas inverse problem iteration computational cost operator exploration geophysicist 10 iterate inversion optimization problem arxiv preprint arxiv convergence seg international exposition fixed-point operator anderson acceleration gradient Anderson...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428223
... dunlop loss function inverse problem full waveform inversion new likelihood function New likelihood functions and level-set prior for Bayesian full-waveform inversion Matt Dunlop and Yunan Yang, Courant Institute of Mathematical Sciences, New York University SUMMARY larly in the Bayesian setting...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428333
... train the network based on a global criterion. The feasibility of the proposed approach is verified by solving a magnetotelluric (MT) inverse problem. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 9:20 AM Presentation Time: 10:35 AM Location: Poster Station 1 Presentation Type...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426305
... then demonstrated using the Bishop synthetic data set. structural geology thickness sedimentary package basement relief estimation federico golfré andreasi inverse problem geophysics reservoir characterization survey area contribution exploration geophysicist 10 upstream oil & gas...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424462
.... Presentation Date: Wednesday, October 14, 2020 Session Start Time: 8:30 AM Presentation Time: 8:55 AM Location: 360C Presentation Type: Oral health & medicine machine learning oncology reservoir characterization neural network inverse problem exploration geophysicist 10 inversion...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3424509
... mis t, to produce the extended inversion objective. The simple inverse problem, which asks that a homogeneous ve- objective function and its gradient can be computed explicitly locity eld be deduced from one trace at known offset. We put in this very simple example, and it is easily seen that all...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428367
... dimensionality of the problem. We present a process-based proxy-modeling approach to approximate high-resolution environmental models. The strategy involves two levels of approximations: 1) a coarser spatial discretization of the geophysical forward problem, and 2) a model-order-reduction of the inverse problem...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428431
... Estimating 2D/3D models in terms of physical properties by solving inverse problems, followed by manual interpretation, is the primary method for near-surface classification currently. While pieces of this workflow have been automated, there are still restrictions related to discretizations for...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428013
... Prior information is essential for statistical seismic inverse problems to quantify uncertainties of unknown subsurface parameters. Conventional prior knowledge is based on empirical observations of subsurface structures like the smoothness of the subsurface image. However, such hand-designed...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428150
... being computational advantageous with respect to traditional networks, do also enable analytic computation of the output density function. Therefore, after training, these networks can be readily used as a new prior for a related inversion problem. This stands in stark contrast with Monte-Carlo methods...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3427560
... classification within the reservoir characterization processes reduces the non-uniqueness of the inverse problem and produces geologically consistent reservoir properties. Presentation Date: Wednesday, October 14, 2020 Session Start Time: 1:50 PM Presentation Time: 2:40 PM Location: 362A Presentation Type...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216566
...A comparison of geophysical inversion and machine learning in inverse problems Yuji Kim1, Nori Nakata2 1University of Oklahoma, OK. 2Massachusetts Institute of Technology, MA. Summary Geophysical inversion and machine learning both provide solutions of inverse problems in which we estimate model...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216560
... inverse problem information posterior pdf proposal distribution seg international exposition reservoir characterization annual meeting machine learning diagonal waveform inversion artificial intelligence upstream oil & gas Biswas , R. , and M. Sen , 2017 , 2d full...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216622
...) Research Consortium and other funding resources at the Modeling and Imaging Laboratory, University of California, Santa Cruz. 10.1190/segam2019-3216622.1 Page 1478 © 2019 SEG SEG International Exposition and 89th Annual Meeting REFERENCES Aki, K., and P. Richards, 1980, Chapter 12: Inverse problems in...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216769
... development of the 1D direct algorithm is based on the exact solution of the Green problem for the determination of the electromagnetic field inside a stratified medium, crossed by a well and excited by a well tool composed of a transmitter and a receiver. Inverse Problem Using an expansion in Taylor series...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216760
... Presentation Time: 3:30 PM Location: 225B Presentation Type: Oral equation reconstruction inversion inverse problem artificial intelligence herrmann multiplier upstream oil & gas van leeuwen reservoir characterization geophysics seg international exposition full-waveform inversion...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216644
... ABSTRACT Joint Migration Inversion (JMI) is an independent approach to solve the seismic inverse problem, based on decoupled imaging and inversion operators. Here, we review the background equations in their continuous form. We then proceed to test the JMI methodology using the multiparameter...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216638
... Location: Poster Station 10 Presentation Type: Poster wavefield reconstruction inversion van leeuwen least-square problem equation inverse problem reconstruction inversion artificial intelligence waveform inversion compute node computational cost herrmann programming language...

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