Zobrazeno 1 - 10
of 146
pro vyhledávání: '"H. Hoeber"'
Publikováno v:
EAGE 2020 Annual Conference & Exhibition Online.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aecfcf74eb0da2b4ac8f8703968767c
https://doi.org/10.3997/2214-4609.202010715
https://doi.org/10.3997/2214-4609.202010715
Publikováno v:
EAGE 2020 Annual Conference & Exhibition Online.
Summary Deep convolutional neural networks (DCNNs) are growing in popularity in seismic data processing and inversion due to their achievements in signal and image processing. In this paper we explore the link between DCNN and seismic processing. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6ad93a512082f918937dcdf665e357c
https://doi.org/10.3997/2214-4609.202010647
https://doi.org/10.3997/2214-4609.202010647
Publikováno v:
EAGE Subsurface Intelligence Workshop.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b17b133d34803701e693af1cec6838
https://doi.org/10.3997/2214-4609.2019x6104
https://doi.org/10.3997/2214-4609.2019x6104
Publikováno v:
81st EAGE Conference and Exhibition 2019 Workshop Programme.
Summary We propose a hybrid analytics and machine learning approach for large-scale surface wave inversion (SWI) for shear-wave velocities in the shallow overburden. A sparse grid of 1D velocity models are inverted using analytic optimization. Then,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2ae92c054e78f995c34054d0cfcd343
https://doi.org/10.3997/2214-4609.201901965
https://doi.org/10.3997/2214-4609.201901965
Publikováno v:
81st EAGE Conference and Exhibition 2019.
Summary Seismic data must be optimally processed for accurate reservoir characterization, and therefore each step of the processing sequence should be carefully designed and assessed for AVO compliance and primary preservation. In this paper, we focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a098cd75ccee229ef40d67867aca21dd
https://doi.org/10.3997/2214-4609.201900780
https://doi.org/10.3997/2214-4609.201900780
Publikováno v:
Proceedings.
Using highly repeatable permanent reservoir monitoring data from the Grane field in the Norwegian North Sea we show 4D FWI results using data with a seven-month acquisition interval between vintages. 4D FWI results show changes at the reservoir level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231a51366048ae6c69d0f5bb42460b05
https://doi.org/10.3997/2214-4609.201700026
https://doi.org/10.3997/2214-4609.201700026
Publikováno v:
78th EAGE Conference and Exhibition 2016.
Summary In time-lapse processing, independent regularization of each vintage is the typical approach. This disregards any geometrical limitations imposed by different surveys. Here we recast the regularization process as a minimization problem with m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b369b068777d1f4da5934c3f586618
https://doi.org/10.3997/2214-4609.201600585
https://doi.org/10.3997/2214-4609.201600585
Akademický článek
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Publikováno v:
Proceedings.
A migrated seismic image represents the spatially variable reflectivity of the medium where migration effectively rotates the wavelet to be normal to the imaged reflectors. While this is the general case, it is often disregarded, and one-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e15fa40f2951f7ac637107fc42f0a4a3
https://doi.org/10.3997/2214-4609.201413414
https://doi.org/10.3997/2214-4609.201413414
Publikováno v:
Proceedings.
We discuss methods to quantify the impact, reliability and value of low frequencies as provided in modern towed streamer broadband acquisitions. Acquisition, processing and inversion all have a role to play in creating reliable low frequency data. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae4696949828cfc601289b50d1f9ff4b
https://doi.org/10.3997/2214-4609.201413188
https://doi.org/10.3997/2214-4609.201413188