FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2275444493> ?p ?o ?g. }

• W2275444493 endingPage "128" @default.
• W2275444493 startingPage "112" @default.
• W2275444493 abstract "We present a new method dedicated to the interpretation of full gravity gradient tensor data, based on SL0 sparse recovery inversion. The SL0 sparse recovery method aims to find out the minimum value of the objective function to fit the data function and to solve the non-zero solution to the objective function. Based on continuous iteration, we can easily obtain the final global minimum (namely the property and space attribute of the inversion target). We consider which type of tensor data combination produces the best inversion results based on the inversion results of different full gravity gradient tensor data combinations (separate tensor data and combined tensor data). We compare the recovered models obtained by inverting the different combinations of different gravity gradient tensor components to understand how different component combinations contribute to the resolution of the recovered model. Based on the comparison between the SL0 sparse recovery inversion results and the smoothest and focusing inversion results of the full gravity gradient tensor data, we show that SL0 sparse recovery inversion can obtain more stable and efficient inversion results with relatively sharp edge information, and that this method can also produce a stable solution of the inverse problem for complex geological structures. This new method to resolve very large full gravity gradient tensor datasets has the considerable advantage of being highly efficient; the full gravity gradient tensor inversion requires very little time. This new method is very effective in explaining the full gravity tensor which is very sensitive to small changes in local anomaly. The numerical simulation and inversion results of the compositional model indicates that including multiple components for inversion increases the resolution of the recovered density model and improves the structure delineation. We apply our inversion method to invert the gravity gradient tensor survey data from the Vinton salt dome, Louisiana. The results of inversion are in good agreement with the known formation in the region, which supports the validity of our method." @default.
• W2275444493 created "2016-06-24" @default.
• W2275444493 creator A5011608295 @default.
• W2275444493 date "2016-04-01" @default.
• W2275444493 modified "2023-10-01" @default.
• W2275444493 title "3D inversion of full gravity gradient tensor data using SL0 sparse recovery" @default.
• W2275444493 cites W1524460150 @default.
• W2275444493 cites W1749654321 @default.
• W2275444493 cites W1972671824 @default.
• W2275444493 cites W1983029630 @default.
• W2275444493 cites W1986931325 @default.
• W2275444493 cites W1987875940 @default.
• W2275444493 cites W1993957904 @default.
• W2275444493 cites W1994730185 @default.
• W2275444493 cites W2030406717 @default.
• W2275444493 cites W2071530471 @default.
• W2275444493 cites W2075972102 @default.
• W2275444493 cites W2094518147 @default.
• W2275444493 cites W2097323375 @default.
• W2275444493 cites W2098166152 @default.
• W2275444493 cites W2099679822 @default.
• W2275444493 cites W2100068253 @default.
• W2275444493 cites W2103093627 @default.
• W2275444493 cites W2108064160 @default.
• W2275444493 cites W2108548334 @default.
• W2275444493 cites W2108908835 @default.
• W2275444493 cites W2111238034 @default.
• W2275444493 cites W2120323962 @default.
• W2275444493 cites W2127271355 @default.
• W2275444493 cites W2129131372 @default.
• W2275444493 cites W2129657069 @default.
• W2275444493 cites W2129920955 @default.
• W2275444493 cites W2131052855 @default.
• W2275444493 cites W2135530306 @default.
• W2275444493 cites W2137760966 @default.
• W2275444493 cites W2142432520 @default.
• W2275444493 cites W2146765527 @default.
• W2275444493 cites W2147614551 @default.
• W2275444493 cites W2150641056 @default.
• W2275444493 cites W2150904297 @default.
• W2275444493 cites W2151693816 @default.
• W2275444493 cites W2160979406 @default.
• W2275444493 cites W2293318283 @default.
• W2275444493 cites W2332990274 @default.
• W2275444493 cites W2336437377 @default.
• W2275444493 doi "https://doi.org/10.1016/j.jappgeo.2016.02.010" @default.
• W2275444493 hasPublicationYear "2016" @default.
• W2275444493 type Work @default.
• W2275444493 sameAs 2275444493 @default.
• W2275444493 citedByCount "12" @default.
• W2275444493 countsByYear W22754444932017 @default.
• W2275444493 countsByYear W22754444932018 @default.
• W2275444493 countsByYear W22754444932020 @default.
• W2275444493 countsByYear W22754444932022 @default.
• W2275444493 countsByYear W22754444932023 @default.
• W2275444493 crossrefType "journal-article" @default.
• W2275444493 hasAuthorship W2275444493A5011608295 @default.
• W2275444493 hasConcept C11413529 @default.
• W2275444493 hasConcept C126255220 @default.
• W2275444493 hasConcept C127313418 @default.
• W2275444493 hasConcept C155281189 @default.
• W2275444493 hasConcept C160920958 @default.
• W2275444493 hasConcept C165205528 @default.
• W2275444493 hasConcept C1893757 @default.
• W2275444493 hasConcept C207467116 @default.
• W2275444493 hasConcept C2524010 @default.
• W2275444493 hasConcept C33923547 @default.
• W2275444493 hasConcept C41008148 @default.
• W2275444493 hasConcept C77928131 @default.
• W2275444493 hasConceptScore W2275444493C11413529 @default.
• W2275444493 hasConceptScore W2275444493C126255220 @default.
• W2275444493 hasConceptScore W2275444493C127313418 @default.
• W2275444493 hasConceptScore W2275444493C155281189 @default.
• W2275444493 hasConceptScore W2275444493C160920958 @default.
• W2275444493 hasConceptScore W2275444493C165205528 @default.
• W2275444493 hasConceptScore W2275444493C1893757 @default.
• W2275444493 hasConceptScore W2275444493C207467116 @default.
• W2275444493 hasConceptScore W2275444493C2524010 @default.
• W2275444493 hasConceptScore W2275444493C33923547 @default.
• W2275444493 hasConceptScore W2275444493C41008148 @default.
• W2275444493 hasConceptScore W2275444493C77928131 @default.
• W2275444493 hasLocation W22754444931 @default.
• W2275444493 hasOpenAccess W2275444493 @default.
• W2275444493 hasPrimaryLocation W22754444931 @default.
• W2275444493 hasRelatedWork W1937298213 @default.
• W2275444493 hasRelatedWork W2052634948 @default.
• W2275444493 hasRelatedWork W2187257369 @default.
• W2275444493 hasRelatedWork W2298446516 @default.
• W2275444493 hasRelatedWork W2356364244 @default.
• W2275444493 hasRelatedWork W2387217328 @default.
• W2275444493 hasRelatedWork W2613371736 @default.
• W2275444493 hasRelatedWork W3112014586 @default.
• W2275444493 hasRelatedWork W3119916638 @default.
• W2275444493 hasRelatedWork W4309490854 @default.
• W2275444493 hasVolume "127" @default.
• W2275444493 isParatext "false" @default.
• W2275444493 isRetracted "false" @default.
• W2275444493 magId "2275444493" @default.

• next