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Keywords: geophysical data
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Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594761
... geophysical data geophysical inversion latent vector generative network upstream oil & gas training set exploration geophysicist 10 international conference latent space training model artificial intelligence stochastic inversion applied geoscience encoder network inversion variational...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3580979
... learning upstream oil & gas herman reservoir simulation geophysical data ghent university exploration geophysicist 10 inverse problem geophysics water resource research artificial intelligence applied geoscience posterior distribution experiment singha prediction inversion Bayesian...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3582910
... reservoir characterization environmental law remediation geophysical data land reclamation hanford superfund site variability real time system us government applied geoscience hanford site johnson superfund site pacific northwest national laboratory deposit upstream oil & gas...
Proceedings Papers

Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583026
... accuracy in seafloor topography mapping for shallow topography, shallow geohazards and soil characterization. geohazard identification and predicting geotechnical This can be achieved by integrating both geotechnical and properties from geophysical data. For seismic horizon geophysical data (Forsberg et al...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3423766
...: Wednesday, October 14, 2020 Session Start Time: 1:50 PM Presentation Time: 2:40 PM Location: Poster Station 1 Presentation Type: Poster artificial intelligence translation vertical component data machine learning deep learning field data neural network geophysical data allocation seg...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426813
... Joint inversion of multiphysics data is a practical approach to the integration of geophysical data, which produces models of reduced uncertainty and improved resolution. The development of effective methods of joint inversion requires considering different resolutions of different geophysical...
Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-W10-01
... is the generation of automated predictive maps from remote sensing and geophysical data. In this presentation we will be discussing two types of unsupervised machine learning, self-organizing maps (SOMs) and Kmeans clustering. K-means clustering (Macqueen, 1967) is well understood and simple machine learning...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998495
... seg international exposition physical property reservoir characterization geophysical data correlation anomaly gradient university gramian constraint magnetic data inversion model parameter joint inversion multimodal data deposit zhdanov Colombo , D. , and M. De...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2989187
... artificial intelligence aem data model structure flight line seg international exposition parameter uncertainty hydrologic parameter geological modeling reservoir simulation geophysical data jørgensen geophysics reservoir characterization mapping lithology geologic modeling machine learning...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2995155
... benefiting from the others. By quantitatively linking the geophysical, petrophysical and geological data into a single framework, we seek to recover a final inverted model that reproduces the observed petrophysical characteristics and desired geological features while fitting the geophysical data...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2995792
... section magnetic data transformation susceptibility distribution geophysical data multinary transformation Abubakar , A. , G. Gao , T. M. Havashy , and J. Liu , 2012 , Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2997562
... In this paper, we have developed a novel approach to three-dimensional inversion and interpretation of multimodal geophysical data, which incorporates known geological/geophysical constraints. In a general case, the geophysical inverse problem is ill posed, i.e., it is non-unique and unstable...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17750544
... ABSTRACT Bayesian sequential simulation (BSS) is a technique which uses a secondary variable to guide the stochastic simulation of a primary variable. As such, it has proven significant promise for the integration of spatially extensive, low-resolution geophysical data (secondary variable...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17730094
... ABSTRACT Acquisition of appropriate and fit to purpose geophysical data can reduce exploration risk and improve efficiency. If there is a real strategy behind the acquisition and integration of multi-geophysical data, a less uncertain earth model can be produced. Two case studies illustrate...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17650942
... seismic data geophysical data model parameter Aki , K. , and P. G. Richards , 1980 , Quantitative seismology : W. R. Freeman and Co. Bleistein , N. , 1984 , Mathematical methods for wave phenomena : Academic Press Inc. Brekhovskikh , L. M. , 1980...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13779128
... detect several uranium targets associated with the Neoproterozoic sediments of the Taoudeni Basin and with the pegmatites of the Paleoproterozoic basement. A mineralization targeting and prediction analysis has been performed on the acquired airborne geophysical data and the Landsat imagery. It yielded...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13945549
... modelling is used to define petrophysical constraints spatially and to provide starting models. We integrate the different sources of information in a Bayesian framework that quantitatively unifies geological modelling, petrophysical measurements and geophysical data. It accounts for the levels of prior...
Proceedings Papers

Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5931667
... geophysical data iteratively formulation ii upstream oil & gas experiment estimation magnetization model objective function velocity model iteration 1 joint inversion reference list characteristic reservoir characterization machine learning fuzzy c-mean cluster analysis...
Proceedings Papers

Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5864166
... Summary A newly developed technology (patent pending) has demonstrated the ability to achieve significant shrinkage of geophysical data sets by a factor of 10 or better, while retaining a user specified fidelity. Unlike image compression techniques, this technology: (1) retains the functional...
Proceedings Papers

Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-0620
... Summary We propose a method for profiling soil permeability on a river embankment with multiple geophysical data. In this method, the unconsolidated sand model and the Glover’s model are employed for modelling seismic velocity - porosity and resistivity - porosity relationships, respectively...

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