Matches in SemOpenAlex for { <https://semopenalex.org/work/W1967947436> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W1967947436 endingPage "61" @default.
- W1967947436 startingPage "52" @default.
- W1967947436 abstract "Abstract Seismic facies analysis plays an important role in seismic interpretation and reservoir model building by offering an effective way to identify the changes in geofacies inter wells. The selections of input seismic attributes and their time window have an obvious effect on the validity of classification and require iterative experimentation and prior knowledge. In general, it is sensitive to noise when waveform serves as the input data to cluster analysis, especially with a narrow window. To conquer this limitation, the Empirical Mode Decomposition (EMD) method is introduced into waveform classification based on SOM. We first de-noise the seismic data using EMD and then cluster the data using 1D grid SOM. The main advantages of this method are resolution enhancement and noise reduction. 3D seismic data from the western Sichuan basin, China, are collected for validation. The application results show that seismic facies analysis can be improved and better help the interpretation. The powerful tolerance for noise makes the proposed method to be a better seismic facies analysis tool than classical 1D grid SOM method, especially for waveform cluster with a narrow window." @default.
- W1967947436 created "2016-06-24" @default.
- W1967947436 creator A5024293043 @default.
- W1967947436 creator A5030005269 @default.
- W1967947436 creator A5046326510 @default.
- W1967947436 creator A5067222592 @default.
- W1967947436 date "2015-01-01" @default.
- W1967947436 modified "2023-10-16" @default.
- W1967947436 title "Seismic facies analysis based on self-organizing map and empirical mode decomposition" @default.
- W1967947436 cites W1964137158 @default.
- W1967947436 cites W1973785137 @default.
- W1967947436 cites W1982667385 @default.
- W1967947436 cites W1985284624 @default.
- W1967947436 cites W1990790501 @default.
- W1967947436 cites W2007221293 @default.
- W1967947436 cites W2011463532 @default.
- W1967947436 cites W2016451901 @default.
- W1967947436 cites W2029158756 @default.
- W1967947436 cites W2043139736 @default.
- W1967947436 cites W2077440544 @default.
- W1967947436 cites W2084200478 @default.
- W1967947436 cites W2089613969 @default.
- W1967947436 cites W2098395403 @default.
- W1967947436 cites W2118308234 @default.
- W1967947436 cites W2154087768 @default.
- W1967947436 doi "https://doi.org/10.1016/j.jappgeo.2014.11.007" @default.
- W1967947436 hasPublicationYear "2015" @default.
- W1967947436 type Work @default.
- W1967947436 sameAs 1967947436 @default.
- W1967947436 citedByCount "35" @default.
- W1967947436 countsByYear W19679474362015 @default.
- W1967947436 countsByYear W19679474362016 @default.
- W1967947436 countsByYear W19679474362017 @default.
- W1967947436 countsByYear W19679474362018 @default.
- W1967947436 countsByYear W19679474362019 @default.
- W1967947436 countsByYear W19679474362020 @default.
- W1967947436 countsByYear W19679474362021 @default.
- W1967947436 countsByYear W19679474362022 @default.
- W1967947436 countsByYear W19679474362023 @default.
- W1967947436 crossrefType "journal-article" @default.
- W1967947436 hasAuthorship W1967947436A5024293043 @default.
- W1967947436 hasAuthorship W1967947436A5030005269 @default.
- W1967947436 hasAuthorship W1967947436A5046326510 @default.
- W1967947436 hasAuthorship W1967947436A5067222592 @default.
- W1967947436 hasConcept C106131492 @default.
- W1967947436 hasConcept C109007969 @default.
- W1967947436 hasConcept C111919701 @default.
- W1967947436 hasConcept C114793014 @default.
- W1967947436 hasConcept C124681953 @default.
- W1967947436 hasConcept C127313418 @default.
- W1967947436 hasConcept C146588470 @default.
- W1967947436 hasConcept C165205528 @default.
- W1967947436 hasConcept C18903297 @default.
- W1967947436 hasConcept C25570617 @default.
- W1967947436 hasConcept C31972630 @default.
- W1967947436 hasConcept C41008148 @default.
- W1967947436 hasConcept C48677424 @default.
- W1967947436 hasConcept C86803240 @default.
- W1967947436 hasConceptScore W1967947436C106131492 @default.
- W1967947436 hasConceptScore W1967947436C109007969 @default.
- W1967947436 hasConceptScore W1967947436C111919701 @default.
- W1967947436 hasConceptScore W1967947436C114793014 @default.
- W1967947436 hasConceptScore W1967947436C124681953 @default.
- W1967947436 hasConceptScore W1967947436C127313418 @default.
- W1967947436 hasConceptScore W1967947436C146588470 @default.
- W1967947436 hasConceptScore W1967947436C165205528 @default.
- W1967947436 hasConceptScore W1967947436C18903297 @default.
- W1967947436 hasConceptScore W1967947436C25570617 @default.
- W1967947436 hasConceptScore W1967947436C31972630 @default.
- W1967947436 hasConceptScore W1967947436C41008148 @default.
- W1967947436 hasConceptScore W1967947436C48677424 @default.
- W1967947436 hasConceptScore W1967947436C86803240 @default.
- W1967947436 hasFunder F4320321001 @default.
- W1967947436 hasLocation W19679474361 @default.
- W1967947436 hasOpenAccess W1967947436 @default.
- W1967947436 hasPrimaryLocation W19679474361 @default.
- W1967947436 hasRelatedWork W1991773283 @default.
- W1967947436 hasRelatedWork W1998694462 @default.
- W1967947436 hasRelatedWork W2139404426 @default.
- W1967947436 hasRelatedWork W2183911703 @default.
- W1967947436 hasRelatedWork W2359972668 @default.
- W1967947436 hasRelatedWork W2384076496 @default.
- W1967947436 hasRelatedWork W2541315237 @default.
- W1967947436 hasRelatedWork W3176754182 @default.
- W1967947436 hasRelatedWork W95746132 @default.
- W1967947436 hasRelatedWork W2064408844 @default.
- W1967947436 hasVolume "112" @default.
- W1967947436 isParatext "false" @default.
- W1967947436 isRetracted "false" @default.
- W1967947436 magId "1967947436" @default.
- W1967947436 workType "article" @default.