Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297884005> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4297884005 endingPage "981" @default.
- W4297884005 startingPage "965" @default.
- W4297884005 abstract "Abstract For any given rock-physics model, knowledge of correlations among its inputs helps to define geologically and physically meaningful and informed models for a given problem. These informed models can, in turn, reduce the uncertainty in forward and inverse problems. We use a Bayesian framework to identify such correlations among inputs of two rock-physics models. That framework makes use of velocity and porosity measurements on both dry and brine-saturated carbonate samples. Two inclusion-based rock-physics models, the self-consistent approximation and the differential effective medium model, are analyzed along with these data to identify the underlying correlations. To do so, the posterior distribution must be evaluated, which is based on a prior model and the calculated likelihood function. Exhaustive sampling of the posterior is convenient in this case because relatively few input parameters to consider. Results are multi-variate histograms that indicate maximum a posteriori values of the inputs. Correlations among the inputs become evident when the Bayesian analysis is repeated many times with different prior models. These correlated values provide the inputs to optimized maximum a posteriori models. The correlations identified for the two rock-physics models under study should be used in relevant applications. Finally, all rock-physics models, along with an appropriate data set, should be examined in a similar Bayesian framework." @default.
- W4297884005 created "2022-10-01" @default.
- W4297884005 creator A5041533172 @default.
- W4297884005 creator A5052218776 @default.
- W4297884005 date "2022-09-10" @default.
- W4297884005 modified "2023-10-15" @default.
- W4297884005 title "Correlations of inclusion-based rock-physics model inputs from Bayesian analysis" @default.
- W4297884005 cites W1511087239 @default.
- W4297884005 cites W1512208174 @default.
- W4297884005 cites W1538120041 @default.
- W4297884005 cites W1967008706 @default.
- W4297884005 cites W2009157371 @default.
- W4297884005 cites W2010474818 @default.
- W4297884005 cites W2038899503 @default.
- W4297884005 cites W2048412128 @default.
- W4297884005 cites W2069390047 @default.
- W4297884005 cites W2075212436 @default.
- W4297884005 cites W2097431254 @default.
- W4297884005 cites W2115364046 @default.
- W4297884005 cites W2119378412 @default.
- W4297884005 cites W2139811054 @default.
- W4297884005 cites W2147362103 @default.
- W4297884005 cites W2161807841 @default.
- W4297884005 cites W2168900424 @default.
- W4297884005 cites W2594383661 @default.
- W4297884005 cites W2789761554 @default.
- W4297884005 cites W2949502768 @default.
- W4297884005 cites W2980119621 @default.
- W4297884005 cites W2992786058 @default.
- W4297884005 cites W3000861451 @default.
- W4297884005 cites W3013339038 @default.
- W4297884005 cites W3018649187 @default.
- W4297884005 cites W3033311090 @default.
- W4297884005 cites W3035433783 @default.
- W4297884005 cites W3136841312 @default.
- W4297884005 cites W4205477604 @default.
- W4297884005 cites W4206067492 @default.
- W4297884005 cites W4211024465 @default.
- W4297884005 cites W4234656230 @default.
- W4297884005 cites W4253970696 @default.
- W4297884005 cites W4256129314 @default.
- W4297884005 cites W4312608366 @default.
- W4297884005 doi "https://doi.org/10.1093/jge/gxac063" @default.
- W4297884005 hasPublicationYear "2022" @default.
- W4297884005 type Work @default.
- W4297884005 citedByCount "0" @default.
- W4297884005 crossrefType "journal-article" @default.
- W4297884005 hasAuthorship W4297884005A5041533172 @default.
- W4297884005 hasAuthorship W4297884005A5052218776 @default.
- W4297884005 hasBestOaLocation W42978840051 @default.
- W4297884005 hasConcept C105795698 @default.
- W4297884005 hasConcept C107673813 @default.
- W4297884005 hasConcept C111472728 @default.
- W4297884005 hasConcept C121332964 @default.
- W4297884005 hasConcept C121864883 @default.
- W4297884005 hasConcept C138885662 @default.
- W4297884005 hasConcept C160234255 @default.
- W4297884005 hasConcept C33923547 @default.
- W4297884005 hasConcept C57830394 @default.
- W4297884005 hasConcept C75553542 @default.
- W4297884005 hasConceptScore W4297884005C105795698 @default.
- W4297884005 hasConceptScore W4297884005C107673813 @default.
- W4297884005 hasConceptScore W4297884005C111472728 @default.
- W4297884005 hasConceptScore W4297884005C121332964 @default.
- W4297884005 hasConceptScore W4297884005C121864883 @default.
- W4297884005 hasConceptScore W4297884005C138885662 @default.
- W4297884005 hasConceptScore W4297884005C160234255 @default.
- W4297884005 hasConceptScore W4297884005C33923547 @default.
- W4297884005 hasConceptScore W4297884005C57830394 @default.
- W4297884005 hasConceptScore W4297884005C75553542 @default.
- W4297884005 hasIssue "5" @default.
- W4297884005 hasLocation W42978840051 @default.
- W4297884005 hasOpenAccess W4297884005 @default.
- W4297884005 hasPrimaryLocation W42978840051 @default.
- W4297884005 hasRelatedWork W118730952 @default.
- W4297884005 hasRelatedWork W1529069387 @default.
- W4297884005 hasRelatedWork W1531632781 @default.
- W4297884005 hasRelatedWork W1581207020 @default.
- W4297884005 hasRelatedWork W2005820577 @default.
- W4297884005 hasRelatedWork W2032094637 @default.
- W4297884005 hasRelatedWork W2067883763 @default.
- W4297884005 hasRelatedWork W2617021092 @default.
- W4297884005 hasRelatedWork W2958982336 @default.
- W4297884005 hasRelatedWork W3210139743 @default.
- W4297884005 hasVolume "19" @default.
- W4297884005 isParatext "false" @default.
- W4297884005 isRetracted "false" @default.
- W4297884005 workType "article" @default.