1 resultado para performance testing
em Repository Napier
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (3)
- Aberystwyth University Repository - Reino Unido (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (27)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (28)
- Brock University, Canada (7)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (31)
- CentAUR: Central Archive University of Reading - UK (17)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (10)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (9)
- Deakin Research Online - Australia (46)
- Digital Commons - Michigan Tech (12)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (26)
- DigitalCommons@The Texas Medical Center (5)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (8)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (5)
- Indian Institute of Science - Bangalore - Índia (6)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (3)
- Instituto Politécnico do Porto, Portugal (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (1)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (43)
- Queensland University of Technology - ePrints Archive (454)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (14)
- Research Open Access Repository of the University of East London. (1)
- Universidad de Alicante (2)
- Universidad Politécnica de Madrid (19)
- Universidade Complutense de Madrid (1)
- Universidade Técnica de Lisboa (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (2)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (1)
- University of Michigan (72)
- University of Queensland eSpace - Australia (14)
- University of Washington (4)
- WestminsterResearch - UK (2)
Resumo:
In order to solve the problem of uncertain cycle of water injection in the oilfield, this paper proposed a numerical method based on PCA-FNN, so that it can forecast the effective cycle of water injection. PCA is used to reduce the dimension of original data, while FNN is applied to train and test the new data. The correctness of PCA-FNN model is verified by the real injection statistics data from 116 wells of an oilfield, the result shows that the average absolute error and relative error of the test are 1.97 months and 10.75% respectively. The testing accuracy has been greatly improved by PCA-FNN model compare with the FNN which has not been processed by PCA and multiple liner regression method. Therefore, PCA-FNN method is reliable to forecast the effectiveness cycle of water injection and it can be used as an decision-making reference method for the engineers.