Matches in SemOpenAlex for { <https://semopenalex.org/work/W2794331570> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2794331570 endingPage "7" @default.
- W2794331570 startingPage "1" @default.
- W2794331570 abstract "We have developed an algorithm and released open-source code for the 1D inversion of magnetotelluric data. The algorithm uses trans-dimensional Markov chain Monte Carlo techniques to solve for a probabilistic conductivity-depth model.The inversion of each station employs multiple Markov Chains in parallel to generate an ensemble of millions of conductivity models that adequately fit the data given the assigned noise levels. The trans-dimensional aspect of the inversion means that the number of layers in the conductivity model is solved for rather than being predetermined and kept fixed. Each Markov chain increases and decrease the number of layers in the model and the depths of the interfaces as it samples.Once the ensemble of models is generated, its statistics are analysed to assess the posterior probability distribution of the conductivity at any particular depth, as well as the number of layers and the depths of the interfaces. This stochastic approach gives a thorough exploration of model space and a more robust estimation of uncertainty than deterministic methods allow.The method’s application to cover thickness estimation is discussed with synthetic and real examples. Inversion of complex impedance tensor and also derived apparent resistivity/phase data are both demonstrated. It is found that the more pronounced layer boundaries allow more straightforward interpretation of cover thickness than that from deterministic smooth model inversions. It is concluded that thickness estimates compare favourably with borehole stratigraphic logs in most cases, and that the method is a useful addition to a range of cover thickness estimation tools." @default.
- W2794331570 created "2018-03-29" @default.
- W2794331570 creator A5057575653 @default.
- W2794331570 creator A5091526740 @default.
- W2794331570 date "2018-12-01" @default.
- W2794331570 modified "2023-10-06" @default.
- W2794331570 title "Trans-Dimensional Monte Carlo Inversion of Short Period Magnetotelluric Data for Cover Thickness Estimation" @default.
- W2794331570 doi "https://doi.org/10.1071/aseg2018abt5_1f" @default.
- W2794331570 hasPublicationYear "2018" @default.
- W2794331570 type Work @default.
- W2794331570 sameAs 2794331570 @default.
- W2794331570 citedByCount "7" @default.
- W2794331570 countsByYear W27943315702019 @default.
- W2794331570 countsByYear W27943315702020 @default.
- W2794331570 countsByYear W27943315702021 @default.
- W2794331570 countsByYear W27943315702022 @default.
- W2794331570 crossrefType "journal-article" @default.
- W2794331570 hasAuthorship W2794331570A5057575653 @default.
- W2794331570 hasAuthorship W2794331570A5091526740 @default.
- W2794331570 hasBestOaLocation W27943315701 @default.
- W2794331570 hasConcept C105795698 @default.
- W2794331570 hasConcept C111350023 @default.
- W2794331570 hasConcept C112313211 @default.
- W2794331570 hasConcept C11413529 @default.
- W2794331570 hasConcept C121332964 @default.
- W2794331570 hasConcept C127313418 @default.
- W2794331570 hasConcept C160920958 @default.
- W2794331570 hasConcept C165205528 @default.
- W2794331570 hasConcept C1893757 @default.
- W2794331570 hasConcept C19499675 @default.
- W2794331570 hasConcept C33923547 @default.
- W2794331570 hasConcept C41008148 @default.
- W2794331570 hasConcept C62520636 @default.
- W2794331570 hasConcept C69990965 @default.
- W2794331570 hasConcept C77928131 @default.
- W2794331570 hasConcept C98763669 @default.
- W2794331570 hasConceptScore W2794331570C105795698 @default.
- W2794331570 hasConceptScore W2794331570C111350023 @default.
- W2794331570 hasConceptScore W2794331570C112313211 @default.
- W2794331570 hasConceptScore W2794331570C11413529 @default.
- W2794331570 hasConceptScore W2794331570C121332964 @default.
- W2794331570 hasConceptScore W2794331570C127313418 @default.
- W2794331570 hasConceptScore W2794331570C160920958 @default.
- W2794331570 hasConceptScore W2794331570C165205528 @default.
- W2794331570 hasConceptScore W2794331570C1893757 @default.
- W2794331570 hasConceptScore W2794331570C19499675 @default.
- W2794331570 hasConceptScore W2794331570C33923547 @default.
- W2794331570 hasConceptScore W2794331570C41008148 @default.
- W2794331570 hasConceptScore W2794331570C62520636 @default.
- W2794331570 hasConceptScore W2794331570C69990965 @default.
- W2794331570 hasConceptScore W2794331570C77928131 @default.
- W2794331570 hasConceptScore W2794331570C98763669 @default.
- W2794331570 hasIssue "1" @default.
- W2794331570 hasLocation W27943315701 @default.
- W2794331570 hasOpenAccess W2794331570 @default.
- W2794331570 hasPrimaryLocation W27943315701 @default.
- W2794331570 hasRelatedWork W1502443752 @default.
- W2794331570 hasRelatedWork W2029331607 @default.
- W2794331570 hasRelatedWork W2052634948 @default.
- W2794331570 hasRelatedWork W2137988141 @default.
- W2794331570 hasRelatedWork W2277608657 @default.
- W2794331570 hasRelatedWork W2302361099 @default.
- W2794331570 hasRelatedWork W2365571930 @default.
- W2794331570 hasRelatedWork W2794728923 @default.
- W2794331570 hasRelatedWork W2911356559 @default.
- W2794331570 hasRelatedWork W2967191061 @default.
- W2794331570 hasVolume "2018" @default.
- W2794331570 isParatext "false" @default.
- W2794331570 isRetracted "false" @default.
- W2794331570 magId "2794331570" @default.
- W2794331570 workType "article" @default.