Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900961621> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2900961621 endingPage "157" @default.
- W2900961621 startingPage "142" @default.
- W2900961621 abstract "We present an optimal cost and design prediction of an underground gas storage (UGS) system, which is proposed to be constructed from one or more lined rock caverns. The adaptive network based fuzzy inference system ANFISUGS was generated to predict minimal investment costs and optimal UGS design. Since a safe and impermeable UGS system requires a rigorous calculation, three steps were proposed to solve this task: the first is solving the geotechnical engineering problem for different UGS designs, the second is the cost/design optimization of the UGS structures, and the last is the generation of an ANFIS system for optimal cost and design prediction of the UGS. While the geotechnical problem was solved with a series of finite element analyses in order to define special geotechnical constraints to be put into the optimization models, a parameter non-linear programming (NLP) optimization approach was used for a variety of different UGS design parameters. The ANFISUGS system was then constructed on the basis of data sets defined from previous NLP optimization results. A case study demonstrates the effectiveness and the prediction capability of the proposed ANFISUGS system." @default.
- W2900961621 created "2018-11-29" @default.
- W2900961621 creator A5022762654 @default.
- W2900961621 creator A5063994290 @default.
- W2900961621 creator A5064027487 @default.
- W2900961621 date "2019-01-01" @default.
- W2900961621 modified "2023-10-18" @default.
- W2900961621 title "Optimal cost and design of an underground gas storage by ANFIS" @default.
- W2900961621 cites W1970676534 @default.
- W2900961621 cites W1977659982 @default.
- W2900961621 cites W1981632888 @default.
- W2900961621 cites W1984619576 @default.
- W2900961621 cites W1992147631 @default.
- W2900961621 cites W1992883747 @default.
- W2900961621 cites W1996384388 @default.
- W2900961621 cites W2011224774 @default.
- W2900961621 cites W2011970986 @default.
- W2900961621 cites W2019207321 @default.
- W2900961621 cites W2032170200 @default.
- W2900961621 cites W2033517995 @default.
- W2900961621 cites W2053441273 @default.
- W2900961621 cites W2054775506 @default.
- W2900961621 cites W2055728483 @default.
- W2900961621 cites W2058959811 @default.
- W2900961621 cites W2063311258 @default.
- W2900961621 cites W2078876920 @default.
- W2900961621 cites W2079371334 @default.
- W2900961621 cites W2101039071 @default.
- W2900961621 cites W2126045687 @default.
- W2900961621 cites W2137768381 @default.
- W2900961621 cites W2209474679 @default.
- W2900961621 cites W2312227072 @default.
- W2900961621 cites W2619606596 @default.
- W2900961621 cites W2766998941 @default.
- W2900961621 cites W2794078059 @default.
- W2900961621 cites W2805819656 @default.
- W2900961621 cites W2891094646 @default.
- W2900961621 cites W3124534202 @default.
- W2900961621 doi "https://doi.org/10.1016/j.jngse.2018.11.003" @default.
- W2900961621 hasPublicationYear "2019" @default.
- W2900961621 type Work @default.
- W2900961621 sameAs 2900961621 @default.
- W2900961621 citedByCount "16" @default.
- W2900961621 countsByYear W29009616212019 @default.
- W2900961621 countsByYear W29009616212020 @default.
- W2900961621 countsByYear W29009616212021 @default.
- W2900961621 countsByYear W29009616212022 @default.
- W2900961621 countsByYear W29009616212023 @default.
- W2900961621 crossrefType "journal-article" @default.
- W2900961621 hasAuthorship W2900961621A5022762654 @default.
- W2900961621 hasAuthorship W2900961621A5063994290 @default.
- W2900961621 hasAuthorship W2900961621A5064027487 @default.
- W2900961621 hasConcept C119857082 @default.
- W2900961621 hasConcept C126255220 @default.
- W2900961621 hasConcept C127413603 @default.
- W2900961621 hasConcept C143724316 @default.
- W2900961621 hasConcept C151730666 @default.
- W2900961621 hasConcept C154945302 @default.
- W2900961621 hasConcept C186108316 @default.
- W2900961621 hasConcept C186394612 @default.
- W2900961621 hasConcept C195975749 @default.
- W2900961621 hasConcept C33923547 @default.
- W2900961621 hasConcept C41008148 @default.
- W2900961621 hasConcept C58166 @default.
- W2900961621 hasConcept C86803240 @default.
- W2900961621 hasConceptScore W2900961621C119857082 @default.
- W2900961621 hasConceptScore W2900961621C126255220 @default.
- W2900961621 hasConceptScore W2900961621C127413603 @default.
- W2900961621 hasConceptScore W2900961621C143724316 @default.
- W2900961621 hasConceptScore W2900961621C151730666 @default.
- W2900961621 hasConceptScore W2900961621C154945302 @default.
- W2900961621 hasConceptScore W2900961621C186108316 @default.
- W2900961621 hasConceptScore W2900961621C186394612 @default.
- W2900961621 hasConceptScore W2900961621C195975749 @default.
- W2900961621 hasConceptScore W2900961621C33923547 @default.
- W2900961621 hasConceptScore W2900961621C41008148 @default.
- W2900961621 hasConceptScore W2900961621C58166 @default.
- W2900961621 hasConceptScore W2900961621C86803240 @default.
- W2900961621 hasFunder F4320322554 @default.
- W2900961621 hasLocation W29009616211 @default.
- W2900961621 hasOpenAccess W2900961621 @default.
- W2900961621 hasPrimaryLocation W29009616211 @default.
- W2900961621 hasRelatedWork W1822851171 @default.
- W2900961621 hasRelatedWork W1976967775 @default.
- W2900961621 hasRelatedWork W2092884762 @default.
- W2900961621 hasRelatedWork W2100702904 @default.
- W2900961621 hasRelatedWork W2738546080 @default.
- W2900961621 hasRelatedWork W2899084033 @default.
- W2900961621 hasRelatedWork W3015565988 @default.
- W2900961621 hasRelatedWork W3129464774 @default.
- W2900961621 hasRelatedWork W4290610150 @default.
- W2900961621 hasRelatedWork W4323718577 @default.
- W2900961621 hasVolume "61" @default.
- W2900961621 isParatext "false" @default.
- W2900961621 isRetracted "false" @default.
- W2900961621 magId "2900961621" @default.
- W2900961621 workType "article" @default.