Matches in SemOpenAlex for { <https://semopenalex.org/work/W3012084080> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3012084080 abstract "Tracking a horizon in seismic images or 3D volumes is an integral part of seismic interpretation. The last few decades saw progress in using neural networks for this task, starting from shallow networks for 1D traces, to deeper convolutional neural networks for large 2D images. Because geological structures are intrinsically 3D, we hope to see improved horizon tracking by training networks on 3D seismic data cubes. While there are some 3D convolutional neural networks for various seismic interpretation tasks, they are restricted to shallow networks or relatively small 3D inputs because of memory limitations. The required memory for the network states and weights increases with network depth. We present a fully reversible network for horizon tracking that has a memory requirement that is independent of network depth. To tackle memory issues regarding the network weights, we use layers that train in a factorized form directly. Therefore, we can maintain a large number of network channels while keeping the number of convolutional kernels low. We use the saved memory to increase the input size of the data by order of magnitude such that the network can better learn from large structures in the data. A field data example verifies the proposed network structure is suitable for seismic horizon tracking." @default.
- W3012084080 created "2020-03-23" @default.
- W3012084080 creator A5029362936 @default.
- W3012084080 creator A5047642792 @default.
- W3012084080 date "2020-03-18" @default.
- W3012084080 modified "2023-09-27" @default.
- W3012084080 title "Fully reversible neural networks for large-scale 3D seismic horizon tracking" @default.
- W3012084080 cites W1901129140 @default.
- W3012084080 cites W2028947531 @default.
- W3012084080 cites W2122661995 @default.
- W3012084080 cites W2797080185 @default.
- W3012084080 cites W2802007045 @default.
- W3012084080 cites W2891932361 @default.
- W3012084080 cites W2896319803 @default.
- W3012084080 cites W2911424749 @default.
- W3012084080 cites W2927490830 @default.
- W3012084080 cites W2945228649 @default.
- W3012084080 cites W2963294122 @default.
- W3012084080 cites W2963359731 @default.
- W3012084080 cites W2964255494 @default.
- W3012084080 cites W2968516207 @default.
- W3012084080 cites W2998208204 @default.
- W3012084080 hasPublicationYear "2020" @default.
- W3012084080 type Work @default.
- W3012084080 sameAs 3012084080 @default.
- W3012084080 citedByCount "0" @default.
- W3012084080 crossrefType "posted-content" @default.
- W3012084080 hasAuthorship W3012084080A5029362936 @default.
- W3012084080 hasAuthorship W3012084080A5047642792 @default.
- W3012084080 hasConcept C154945302 @default.
- W3012084080 hasConcept C15744967 @default.
- W3012084080 hasConcept C159176650 @default.
- W3012084080 hasConcept C19417346 @default.
- W3012084080 hasConcept C202444582 @default.
- W3012084080 hasConcept C205649164 @default.
- W3012084080 hasConcept C2524010 @default.
- W3012084080 hasConcept C2775936607 @default.
- W3012084080 hasConcept C2778755073 @default.
- W3012084080 hasConcept C33923547 @default.
- W3012084080 hasConcept C41008148 @default.
- W3012084080 hasConcept C50644808 @default.
- W3012084080 hasConcept C58640448 @default.
- W3012084080 hasConcept C81363708 @default.
- W3012084080 hasConcept C9652623 @default.
- W3012084080 hasConceptScore W3012084080C154945302 @default.
- W3012084080 hasConceptScore W3012084080C15744967 @default.
- W3012084080 hasConceptScore W3012084080C159176650 @default.
- W3012084080 hasConceptScore W3012084080C19417346 @default.
- W3012084080 hasConceptScore W3012084080C202444582 @default.
- W3012084080 hasConceptScore W3012084080C205649164 @default.
- W3012084080 hasConceptScore W3012084080C2524010 @default.
- W3012084080 hasConceptScore W3012084080C2775936607 @default.
- W3012084080 hasConceptScore W3012084080C2778755073 @default.
- W3012084080 hasConceptScore W3012084080C33923547 @default.
- W3012084080 hasConceptScore W3012084080C41008148 @default.
- W3012084080 hasConceptScore W3012084080C50644808 @default.
- W3012084080 hasConceptScore W3012084080C58640448 @default.
- W3012084080 hasConceptScore W3012084080C81363708 @default.
- W3012084080 hasConceptScore W3012084080C9652623 @default.
- W3012084080 hasLocation W30120840801 @default.
- W3012084080 hasOpenAccess W3012084080 @default.
- W3012084080 hasPrimaryLocation W30120840801 @default.
- W3012084080 hasRelatedWork W1527646298 @default.
- W3012084080 hasRelatedWork W1971626661 @default.
- W3012084080 hasRelatedWork W2742801844 @default.
- W3012084080 hasRelatedWork W2770321406 @default.
- W3012084080 hasRelatedWork W2812009592 @default.
- W3012084080 hasRelatedWork W2898848345 @default.
- W3012084080 hasRelatedWork W2900423325 @default.
- W3012084080 hasRelatedWork W2937197502 @default.
- W3012084080 hasRelatedWork W2946720046 @default.
- W3012084080 hasRelatedWork W2979596232 @default.
- W3012084080 hasRelatedWork W2989991345 @default.
- W3012084080 hasRelatedWork W2996923818 @default.
- W3012084080 hasRelatedWork W3103843209 @default.
- W3012084080 hasRelatedWork W3117316750 @default.
- W3012084080 hasRelatedWork W3123877688 @default.
- W3012084080 hasRelatedWork W3158532803 @default.
- W3012084080 hasRelatedWork W3183892689 @default.
- W3012084080 hasRelatedWork W3185365640 @default.
- W3012084080 hasRelatedWork W3204253978 @default.
- W3012084080 hasRelatedWork W3214718199 @default.
- W3012084080 isParatext "false" @default.
- W3012084080 isRetracted "false" @default.
- W3012084080 magId "3012084080" @default.
- W3012084080 workType "article" @default.