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Deep-Learning-Based Surrogate Modeling of Flow and Coupled Flow-Geomechanics for Data Assimilation in Subsurface Systems
Deep-Learning-Based Surrogate Modeling of Flow and Coupled Flow-Geomechanics for Data Assimilation in Subsurface Systems
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094752
- ISBN
- 9798494455208
- DDC
- 900
- 저자명
- Tang, Meng.
- 서명/저자
- Deep-Learning-Based Surrogate Modeling of Flow and Coupled Flow-Geomechanics for Data Assimilation in Subsurface Systems
- 발행사항
- [Sl] : Stanford University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 189 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Durlofsky, Louis;Tartakovsky, Daniel;Volkov, Oleg.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Maps
- 일반주제명
- Data processing
- 일반주제명
- Algorithms
- 일반주제명
- Permeability
- 일반주제명
- Aquifers
- 일반주제명
- Data assimilation
- 일반주제명
- Computer science
- 일반주제명
- Hydrologic sciences
- 기타저자
- Stanford University.
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■001000016055334
■00520220210094752
■020 ▼a9798494455208
■035 ▼a(MiAaPQ)AAI28812973
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a900
■1001 ▼aTang, Meng.
■24510▼aDeep-Learning-Based Surrogate Modeling of Flow and Coupled Flow-Geomechanics for Data Assimilation in Subsurface Systems
■260 ▼a[Sl]▼bStanford University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a189 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-05, Section: B.
■500 ▼aAdvisor: Durlofsky, Louis;Tartakovsky, Daniel;Volkov, Oleg.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0212.
■650 4▼aMaps
■650 4▼aData processing
■650 4▼aAlgorithms
■650 4▼aPermeability
■650 4▼aAquifers
■650 4▼aData assimilation
■650 4▼aComputer science
■650 4▼aHydrologic sciences
■650 4▼aWater resources management
■650 4▼aNatural resource management
■690 ▼a0984
■690 ▼a0388
■690 ▼a0595
■690 ▼a0528
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g83-05B.
■773 ▼tDissertation Abstract International
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16055334▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022


