Matches in SemOpenAlex for { <https://semopenalex.org/work/W2739087388> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2739087388 endingPage "725" @default.
- W2739087388 startingPage "718" @default.
- W2739087388 abstract "Permeability can be considered as the one of the main petro-physical parameters that plays an important role in commercial production of reservoir. On the other hand, measuring the permeability is actually a principal challenge for investigators. Inasmuch as, taking core samples from every well and also surveying well-tested data require a large amount of time and capital, using an economical process is more interesting and it is the main cause to utilize electronic logging as a repeatable method. Artificial intelligence-based methods and especially least squares support vector machines (LSSVM) are reliable and accurate models. In the present work, the LSSVM has been trained by the Cuckoo optimization algorithm to predict permeability by means well-logging data including five different types of logs as input data. The correlation coefficient between the model prediction and the relevant real data is found to be about 0.99602 that can be nominated as an accurate yield." @default.
- W2739087388 created "2017-07-31" @default.
- W2739087388 creator A5019150339 @default.
- W2739087388 creator A5032245908 @default.
- W2739087388 creator A5044368412 @default.
- W2739087388 creator A5053208030 @default.
- W2739087388 date "2017-04-03" @default.
- W2739087388 modified "2023-10-18" @default.
- W2739087388 title "Accurate estimation of formation permeability by means of petrophysical logs" @default.
- W2739087388 cites W1496317909 @default.
- W2739087388 cites W1596717185 @default.
- W2739087388 cites W2007898191 @default.
- W2739087388 cites W2015624944 @default.
- W2739087388 cites W2022052513 @default.
- W2739087388 cites W2035659642 @default.
- W2739087388 cites W2042222274 @default.
- W2739087388 cites W2065130204 @default.
- W2739087388 cites W2314108178 @default.
- W2739087388 doi "https://doi.org/10.1080/10916466.2016.1269125" @default.
- W2739087388 hasPublicationYear "2017" @default.
- W2739087388 type Work @default.
- W2739087388 sameAs 2739087388 @default.
- W2739087388 citedByCount "2" @default.
- W2739087388 countsByYear W27390873882018 @default.
- W2739087388 countsByYear W27390873882023 @default.
- W2739087388 crossrefType "journal-article" @default.
- W2739087388 hasAuthorship W2739087388A5019150339 @default.
- W2739087388 hasAuthorship W2739087388A5032245908 @default.
- W2739087388 hasAuthorship W2739087388A5044368412 @default.
- W2739087388 hasAuthorship W2739087388A5053208030 @default.
- W2739087388 hasConcept C113378726 @default.
- W2739087388 hasConcept C119857082 @default.
- W2739087388 hasConcept C120882062 @default.
- W2739087388 hasConcept C12267149 @default.
- W2739087388 hasConcept C124101348 @default.
- W2739087388 hasConcept C127313418 @default.
- W2739087388 hasConcept C154945302 @default.
- W2739087388 hasConcept C185592680 @default.
- W2739087388 hasConcept C187320778 @default.
- W2739087388 hasConcept C2776810535 @default.
- W2739087388 hasConcept C2780092901 @default.
- W2739087388 hasConcept C35817400 @default.
- W2739087388 hasConcept C41008148 @default.
- W2739087388 hasConcept C41625074 @default.
- W2739087388 hasConcept C46293882 @default.
- W2739087388 hasConcept C55493867 @default.
- W2739087388 hasConcept C6648577 @default.
- W2739087388 hasConcept C78762247 @default.
- W2739087388 hasConcept C86803240 @default.
- W2739087388 hasConcept C90856448 @default.
- W2739087388 hasConceptScore W2739087388C113378726 @default.
- W2739087388 hasConceptScore W2739087388C119857082 @default.
- W2739087388 hasConceptScore W2739087388C120882062 @default.
- W2739087388 hasConceptScore W2739087388C12267149 @default.
- W2739087388 hasConceptScore W2739087388C124101348 @default.
- W2739087388 hasConceptScore W2739087388C127313418 @default.
- W2739087388 hasConceptScore W2739087388C154945302 @default.
- W2739087388 hasConceptScore W2739087388C185592680 @default.
- W2739087388 hasConceptScore W2739087388C187320778 @default.
- W2739087388 hasConceptScore W2739087388C2776810535 @default.
- W2739087388 hasConceptScore W2739087388C2780092901 @default.
- W2739087388 hasConceptScore W2739087388C35817400 @default.
- W2739087388 hasConceptScore W2739087388C41008148 @default.
- W2739087388 hasConceptScore W2739087388C41625074 @default.
- W2739087388 hasConceptScore W2739087388C46293882 @default.
- W2739087388 hasConceptScore W2739087388C55493867 @default.
- W2739087388 hasConceptScore W2739087388C6648577 @default.
- W2739087388 hasConceptScore W2739087388C78762247 @default.
- W2739087388 hasConceptScore W2739087388C86803240 @default.
- W2739087388 hasConceptScore W2739087388C90856448 @default.
- W2739087388 hasIssue "7" @default.
- W2739087388 hasLocation W27390873881 @default.
- W2739087388 hasOpenAccess W2739087388 @default.
- W2739087388 hasPrimaryLocation W27390873881 @default.
- W2739087388 hasRelatedWork W1991408446 @default.
- W2739087388 hasRelatedWork W2025293634 @default.
- W2739087388 hasRelatedWork W2119669224 @default.
- W2739087388 hasRelatedWork W2148772038 @default.
- W2739087388 hasRelatedWork W2290168740 @default.
- W2739087388 hasRelatedWork W2542147557 @default.
- W2739087388 hasRelatedWork W2607175710 @default.
- W2739087388 hasRelatedWork W2765202743 @default.
- W2739087388 hasRelatedWork W2970004625 @default.
- W2739087388 hasRelatedWork W4310682233 @default.
- W2739087388 hasVolume "35" @default.
- W2739087388 isParatext "false" @default.
- W2739087388 isRetracted "false" @default.
- W2739087388 magId "2739087388" @default.
- W2739087388 workType "article" @default.