Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: unknown (author)
التنسيق: masterThesis
منشور في: 2020
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/138433/1/Thesis_revised_May28.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
_version_ 1864513384841478144
author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/138433/1/Thesis_revised_May28.pdf
Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/138433/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Reservoir Characterization
dc.title.none.fl_str_mv Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_018ccc49da9127642a84df204553648b
identifier_str_mv Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::138433
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial IntelligenceReservoir CharacterizationThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/138433/1/Thesis_revised_May28.pdf Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/138433/2020info:eu-repo/semantics/openAccessunknownoai::1384332019-11-01T15:29:27Z
spellingShingle Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
unknown
Reservoir Characterization
status_str publishedVersion
title Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
title_full Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
title_fullStr Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
title_full_unstemmed Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
title_short Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
title_sort Prediction of Mobility Profile with Minimum Real Time Measurements using Artificial Intelligence
topic Reservoir Characterization
url https://eprints.kfupm.edu.sa/id/eprint/138433/1/Thesis_revised_May28.pdf