Matches in SemOpenAlex for { <https://semopenalex.org/work/W2942737736> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W2942737736 endingPage "22" @default.
- W2942737736 startingPage "14" @default.
- W2942737736 abstract "This study is concerned with the water coning phenomenon that takes place around production wells of hydrocarbon reservoirs. In this paper, the development of artificial neural networks to predict the water saturation buildup around vertical and horizontal wells with a good level of accuracy is described. In the development of expert systems, it is assumed that water encroachment originates from an active aquifer which is located under the hydrocarbon reservoir (reservoir with bottom water drive). A high-fidelity numerical model is utilized in generating training data sets that are used in structuring and training the artificial neural networks. The artificial expert systems that are developed in this paper are universal and are capable of predicting the change of water saturation around the wellbore as a function of time and the prediction process is faster than a reservoir simulator and requires less data, which saves time and effort. With the help of these models, it will be possible to predict the position of high water saturation zones around the wellbore ahead of time so that remedial actions such as closing the perforations that produce the water can be implemented on a timely basis. Key words: Bottom water drive, water coning, neural network, water saturation, vertical well, horizontal well.  " @default.
- W2942737736 created "2019-05-09" @default.
- W2942737736 creator A5035065122 @default.
- W2942737736 creator A5057113372 @default.
- W2942737736 date "2019-03-31" @default.
- W2942737736 modified "2023-10-04" @default.
- W2942737736 title "Prediction of the water saturation around wells with bottom water drive using artificial neural networks" @default.
- W2942737736 cites W1992392179 @default.
- W2942737736 cites W2015782097 @default.
- W2942737736 doi "https://doi.org/10.5897/jpge2018.0299" @default.
- W2942737736 hasPublicationYear "2019" @default.
- W2942737736 type Work @default.
- W2942737736 sameAs 2942737736 @default.
- W2942737736 citedByCount "4" @default.
- W2942737736 countsByYear W29427377362019 @default.
- W2942737736 countsByYear W29427377362020 @default.
- W2942737736 countsByYear W29427377362022 @default.
- W2942737736 crossrefType "journal-article" @default.
- W2942737736 hasAuthorship W2942737736A5035065122 @default.
- W2942737736 hasAuthorship W2942737736A5057113372 @default.
- W2942737736 hasBestOaLocation W29427377361 @default.
- W2942737736 hasConcept C114614502 @default.
- W2942737736 hasConcept C127413603 @default.
- W2942737736 hasConcept C154945302 @default.
- W2942737736 hasConcept C187320778 @default.
- W2942737736 hasConcept C33923547 @default.
- W2942737736 hasConcept C41008148 @default.
- W2942737736 hasConcept C50644808 @default.
- W2942737736 hasConcept C75622301 @default.
- W2942737736 hasConcept C76177295 @default.
- W2942737736 hasConcept C78762247 @default.
- W2942737736 hasConcept C9930424 @default.
- W2942737736 hasConceptScore W2942737736C114614502 @default.
- W2942737736 hasConceptScore W2942737736C127413603 @default.
- W2942737736 hasConceptScore W2942737736C154945302 @default.
- W2942737736 hasConceptScore W2942737736C187320778 @default.
- W2942737736 hasConceptScore W2942737736C33923547 @default.
- W2942737736 hasConceptScore W2942737736C41008148 @default.
- W2942737736 hasConceptScore W2942737736C50644808 @default.
- W2942737736 hasConceptScore W2942737736C75622301 @default.
- W2942737736 hasConceptScore W2942737736C76177295 @default.
- W2942737736 hasConceptScore W2942737736C78762247 @default.
- W2942737736 hasConceptScore W2942737736C9930424 @default.
- W2942737736 hasIssue "2" @default.
- W2942737736 hasLocation W29427377361 @default.
- W2942737736 hasOpenAccess W2942737736 @default.
- W2942737736 hasPrimaryLocation W29427377361 @default.
- W2942737736 hasRelatedWork W1809738846 @default.
- W2942737736 hasRelatedWork W1990690065 @default.
- W2942737736 hasRelatedWork W2020709301 @default.
- W2942737736 hasRelatedWork W2052371401 @default.
- W2942737736 hasRelatedWork W2322627510 @default.
- W2942737736 hasRelatedWork W2383693923 @default.
- W2942737736 hasRelatedWork W2973118861 @default.
- W2942737736 hasRelatedWork W4294884063 @default.
- W2942737736 hasRelatedWork W2529675855 @default.
- W2942737736 hasRelatedWork W77440 @default.
- W2942737736 hasVolume "10" @default.
- W2942737736 isParatext "false" @default.
- W2942737736 isRetracted "false" @default.
- W2942737736 magId "2942737736" @default.
- W2942737736 workType "article" @default.