Matches in SemOpenAlex for { <https://semopenalex.org/work/W4301366106> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4301366106 endingPage "11" @default.
- W4301366106 startingPage "1" @default.
- W4301366106 abstract "Through the research and development of the regression prediction function of support vector machine, this paper applies it to the prediction of drilling fluid performance parameters and the formulation design of drilling fluid. The research in this paper can reduce the experimental workload and improve the efficiency of drilling fluid formulation design. The apparent viscosity (AV), plastic viscosity (PV), API filter loss (FLAPI), and roll recovery (R) of the drilling fluid were selected as the inspection objects of the drilling fluid performance parameters, and the support vector machine was used to establish a model for predicting the drilling fluid performance parameters. This predictive model was used as part of the overall drilling fluid formulation optimization design model. For a given drilling fluid performance parameter requirement, this model can be applied to reverse the addition of various treatment agents, and finally, the prediction accuracy of the model is verified by experiments." @default.
- W4301366106 created "2022-10-05" @default.
- W4301366106 creator A5081538601 @default.
- W4301366106 date "2022-10-04" @default.
- W4301366106 modified "2023-09-30" @default.
- W4301366106 title "Optimization Design of Drilling Fluid Chemical Formula Based on Artificial Intelligence" @default.
- W4301366106 cites W1543635483 @default.
- W4301366106 cites W2031007380 @default.
- W4301366106 cites W2585075622 @default.
- W4301366106 cites W2595687062 @default.
- W4301366106 cites W2912649297 @default.
- W4301366106 cites W3006518469 @default.
- W4301366106 cites W3009231298 @default.
- W4301366106 cites W3041671512 @default.
- W4301366106 cites W3043821199 @default.
- W4301366106 cites W3048747604 @default.
- W4301366106 cites W3080154030 @default.
- W4301366106 cites W3080410946 @default.
- W4301366106 cites W3082179861 @default.
- W4301366106 cites W3088482698 @default.
- W4301366106 cites W3155526394 @default.
- W4301366106 cites W3203325074 @default.
- W4301366106 cites W3216327941 @default.
- W4301366106 cites W4205934968 @default.
- W4301366106 cites W4206061115 @default.
- W4301366106 cites W4229374347 @default.
- W4301366106 cites W4280602859 @default.
- W4301366106 cites W4281850468 @default.
- W4301366106 cites W4283212565 @default.
- W4301366106 cites W4283277569 @default.
- W4301366106 doi "https://doi.org/10.1155/2022/5465816" @default.
- W4301366106 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36238672" @default.
- W4301366106 hasPublicationYear "2022" @default.
- W4301366106 type Work @default.
- W4301366106 citedByCount "0" @default.
- W4301366106 crossrefType "journal-article" @default.
- W4301366106 hasAuthorship W4301366106A5081538601 @default.
- W4301366106 hasBestOaLocation W43013661061 @default.
- W4301366106 hasConcept C12267149 @default.
- W4301366106 hasConcept C127172972 @default.
- W4301366106 hasConcept C127313418 @default.
- W4301366106 hasConcept C127413603 @default.
- W4301366106 hasConcept C152068911 @default.
- W4301366106 hasConcept C154945302 @default.
- W4301366106 hasConcept C159985019 @default.
- W4301366106 hasConcept C192562407 @default.
- W4301366106 hasConcept C25197100 @default.
- W4301366106 hasConcept C41008148 @default.
- W4301366106 hasConcept C78519656 @default.
- W4301366106 hasConcept C78762247 @default.
- W4301366106 hasConceptScore W4301366106C12267149 @default.
- W4301366106 hasConceptScore W4301366106C127172972 @default.
- W4301366106 hasConceptScore W4301366106C127313418 @default.
- W4301366106 hasConceptScore W4301366106C127413603 @default.
- W4301366106 hasConceptScore W4301366106C152068911 @default.
- W4301366106 hasConceptScore W4301366106C154945302 @default.
- W4301366106 hasConceptScore W4301366106C159985019 @default.
- W4301366106 hasConceptScore W4301366106C192562407 @default.
- W4301366106 hasConceptScore W4301366106C25197100 @default.
- W4301366106 hasConceptScore W4301366106C41008148 @default.
- W4301366106 hasConceptScore W4301366106C78519656 @default.
- W4301366106 hasConceptScore W4301366106C78762247 @default.
- W4301366106 hasLocation W43013661061 @default.
- W4301366106 hasLocation W43013661062 @default.
- W4301366106 hasLocation W43013661063 @default.
- W4301366106 hasOpenAccess W4301366106 @default.
- W4301366106 hasPrimaryLocation W43013661061 @default.
- W4301366106 hasRelatedWork W1996600066 @default.
- W4301366106 hasRelatedWork W2089551974 @default.
- W4301366106 hasRelatedWork W2272489534 @default.
- W4301366106 hasRelatedWork W2274521640 @default.
- W4301366106 hasRelatedWork W2347369523 @default.
- W4301366106 hasRelatedWork W2371231022 @default.
- W4301366106 hasRelatedWork W2378493249 @default.
- W4301366106 hasRelatedWork W2383538982 @default.
- W4301366106 hasRelatedWork W3184416732 @default.
- W4301366106 hasRelatedWork W4293236484 @default.
- W4301366106 hasVolume "2022" @default.
- W4301366106 isParatext "false" @default.
- W4301366106 isRetracted "false" @default.
- W4301366106 workType "article" @default.