Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220684880> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4220684880 endingPage "201" @default.
- W4220684880 startingPage "192" @default.
- W4220684880 abstract "Most of the existing machine learning studies in logs interpretation do not consider the data distribution discrepancy issue, so the trained model cannot well generalize to the unseen data without calibrating the logs. In this paper, we formulated the geophysical logs calibration problem and give its statistical explanation, and then exhibited an interpretable machine learning method, i.e., Unilateral Alignment, which could align the logs from one well to another without losing the physical meanings. The involved UA method is an unsupervised feature domain adaptation method, so it does not rely on any labels from cores. The experiments in 3 wells and 6 tasks showed the effectiveness and interpretability from multiple views." @default.
- W4220684880 created "2022-04-03" @default.
- W4220684880 creator A5020932593 @default.
- W4220684880 creator A5024963833 @default.
- W4220684880 creator A5025987638 @default.
- W4220684880 creator A5036990231 @default.
- W4220684880 creator A5045456300 @default.
- W4220684880 creator A5075097725 @default.
- W4220684880 creator A5089356327 @default.
- W4220684880 date "2021-12-01" @default.
- W4220684880 modified "2023-09-27" @default.
- W4220684880 title "Unilateral Alignment: An interpretable machine learning method for geophysical logs calibration" @default.
- W4220684880 cites W2026131661 @default.
- W4220684880 cites W2086347916 @default.
- W4220684880 cites W2783774496 @default.
- W4220684880 cites W2798199013 @default.
- W4220684880 cites W2885376559 @default.
- W4220684880 cites W2901691125 @default.
- W4220684880 cites W2923222994 @default.
- W4220684880 cites W2977594178 @default.
- W4220684880 cites W3007103096 @default.
- W4220684880 cites W3016136535 @default.
- W4220684880 cites W3037119549 @default.
- W4220684880 cites W3038158125 @default.
- W4220684880 cites W3110444205 @default.
- W4220684880 cites W4287887655 @default.
- W4220684880 cites W4287888658 @default.
- W4220684880 doi "https://doi.org/10.1016/j.aiig.2022.02.006" @default.
- W4220684880 hasPublicationYear "2021" @default.
- W4220684880 type Work @default.
- W4220684880 citedByCount "2" @default.
- W4220684880 countsByYear W42206848802023 @default.
- W4220684880 crossrefType "journal-article" @default.
- W4220684880 hasAuthorship W4220684880A5020932593 @default.
- W4220684880 hasAuthorship W4220684880A5024963833 @default.
- W4220684880 hasAuthorship W4220684880A5025987638 @default.
- W4220684880 hasAuthorship W4220684880A5036990231 @default.
- W4220684880 hasAuthorship W4220684880A5045456300 @default.
- W4220684880 hasAuthorship W4220684880A5075097725 @default.
- W4220684880 hasAuthorship W4220684880A5089356327 @default.
- W4220684880 hasBestOaLocation W42206848801 @default.
- W4220684880 hasConcept C105795698 @default.
- W4220684880 hasConcept C119857082 @default.
- W4220684880 hasConcept C134306372 @default.
- W4220684880 hasConcept C138885662 @default.
- W4220684880 hasConcept C139807058 @default.
- W4220684880 hasConcept C153180895 @default.
- W4220684880 hasConcept C154945302 @default.
- W4220684880 hasConcept C15744967 @default.
- W4220684880 hasConcept C165838908 @default.
- W4220684880 hasConcept C169760540 @default.
- W4220684880 hasConcept C199360897 @default.
- W4220684880 hasConcept C2776145971 @default.
- W4220684880 hasConcept C2776401178 @default.
- W4220684880 hasConcept C2781067378 @default.
- W4220684880 hasConcept C33923547 @default.
- W4220684880 hasConcept C36503486 @default.
- W4220684880 hasConcept C41008148 @default.
- W4220684880 hasConcept C41895202 @default.
- W4220684880 hasConcept C527412718 @default.
- W4220684880 hasConceptScore W4220684880C105795698 @default.
- W4220684880 hasConceptScore W4220684880C119857082 @default.
- W4220684880 hasConceptScore W4220684880C134306372 @default.
- W4220684880 hasConceptScore W4220684880C138885662 @default.
- W4220684880 hasConceptScore W4220684880C139807058 @default.
- W4220684880 hasConceptScore W4220684880C153180895 @default.
- W4220684880 hasConceptScore W4220684880C154945302 @default.
- W4220684880 hasConceptScore W4220684880C15744967 @default.
- W4220684880 hasConceptScore W4220684880C165838908 @default.
- W4220684880 hasConceptScore W4220684880C169760540 @default.
- W4220684880 hasConceptScore W4220684880C199360897 @default.
- W4220684880 hasConceptScore W4220684880C2776145971 @default.
- W4220684880 hasConceptScore W4220684880C2776401178 @default.
- W4220684880 hasConceptScore W4220684880C2781067378 @default.
- W4220684880 hasConceptScore W4220684880C33923547 @default.
- W4220684880 hasConceptScore W4220684880C36503486 @default.
- W4220684880 hasConceptScore W4220684880C41008148 @default.
- W4220684880 hasConceptScore W4220684880C41895202 @default.
- W4220684880 hasConceptScore W4220684880C527412718 @default.
- W4220684880 hasLocation W42206848801 @default.
- W4220684880 hasOpenAccess W4220684880 @default.
- W4220684880 hasPrimaryLocation W42206848801 @default.
- W4220684880 hasRelatedWork W2605281151 @default.
- W4220684880 hasRelatedWork W3006943036 @default.
- W4220684880 hasRelatedWork W3012234327 @default.
- W4220684880 hasRelatedWork W3119715496 @default.
- W4220684880 hasRelatedWork W3129604848 @default.
- W4220684880 hasRelatedWork W3191046242 @default.
- W4220684880 hasRelatedWork W4200511449 @default.
- W4220684880 hasRelatedWork W4206534706 @default.
- W4220684880 hasRelatedWork W4229079080 @default.
- W4220684880 hasRelatedWork W4294031299 @default.
- W4220684880 hasVolume "2" @default.
- W4220684880 isParatext "false" @default.
- W4220684880 isRetracted "false" @default.
- W4220684880 workType "article" @default.