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Modeling of Hydraulic Fracturing and Design of Online Optimal Pumping Schedule for Enhanced Productivity in Shale Formations.
Modeling of Hydraulic Fracturing and Design of Online Optimal Pumping Schedule for Enhanced Productivity in Shale Formations.

상세정보

자료유형  
 학위논문
Control Number  
0016618477
International Standard Book Number  
9798438761006
Dewey Decimal Classification Number  
660
Main Entry-Personal Name  
Siddhamshetty, Prashanth Kumar.
Publication, Distribution, etc. (Imprint  
[S.l.] : Texas A&M University., 2020
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2020
Physical Description  
215 p.
General Note  
Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
General Note  
Advisor: Kwon, Joseph Sang-Il.
Dissertation Note  
Thesis (Ph.D.)--Texas A&M University, 2020.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Chemical engineering.
Subject Added Entry-Topical Term  
Geophysics.
Subject Added Entry-Topical Term  
Fluid mechanics.
Subject Added Entry-Topical Term  
Hydraulic engineering.
Subject Added Entry-Topical Term  
Environmental geology.
Index Term-Uncontrolled  
Hydraulic fracturing
Index Term-Uncontrolled  
Optimal pumping schedule
Index Term-Uncontrolled  
Unified fracture design
Index Term-Uncontrolled  
Dynamic modeling
Index Term-Uncontrolled  
Model predictive control
Index Term-Uncontrolled  
Kalman filter
Index Term-Uncontrolled  
Stress shadow effects
Index Term-Uncontrolled  
Limited entry design technique
Index Term-Uncontrolled  
Data-based model reduction
Index Term-Uncontrolled  
Uncertainty reduction
Index Term-Uncontrolled  
Proppant bank height control
Index Term-Uncontrolled  
Natural fractures
Index Term-Uncontrolled  
Unconventional reservoirs
Index Term-Uncontrolled  
Fracking
Added Entry-Corporate Name  
Texas A&M University Chemical Engineering
Host Item Entry  
Dissertations Abstracts International. 83-12B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:624487

MARC

 008230216s2020        ulk                      00        kor
■001000016618477
■00520230206105503
■020    ▼a9798438761006
■035    ▼a(MiAaPQ)AAI29270960
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a660
■1001  ▼aSiddhamshetty,  Prashanth  Kumar.
■24510▼aModeling  of  Hydraulic  Fracturing  and  Design  of  Online  Optimal  Pumping  Schedule  for  Enhanced  Productivity  in  Shale  Formations.
■260    ▼a[S.l.]▼bTexas  A&M  University.  ▼c2020
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2020
■300    ▼a215  p.
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-12,  Section:  B.
■500    ▼aAdvisor:  Kwon,  Joseph  Sang-Il.
■5021  ▼aThesis  (Ph.D.)--Texas  A&M  University,  2020.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0803.
■650  4▼aChemical  engineering.
■650  4▼aGeophysics.
■650  4▼aFluid  mechanics.
■650  4▼aHydraulic  engineering.
■650  4▼aEnvironmental  geology.
■653    ▼aHydraulic  fracturing
■653    ▼aOptimal  pumping  schedule
■653    ▼aUnified  fracture  design
■653    ▼aDynamic  modeling
■653    ▼aModel  predictive  control
■653    ▼aKalman  filter
■653    ▼aStress  shadow  effects
■653    ▼aLimited  entry  design  technique
■653    ▼aData-based  model  reduction
■653    ▼aUncertainty  reduction
■653    ▼aProppant  bank  height  control
■653    ▼aNatural  fractures
■653    ▼aUnconventional  reservoirs
■653    ▼aFracking
■690    ▼a0542
■690    ▼a0467
■690    ▼a0218
■690    ▼a0204
■690    ▼a0373
■690    ▼a0407
■71020▼aTexas  A&M  University▼bChemical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g83-12B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0803
■791    ▼aPh.D.
■792    ▼a2020
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16618477▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202302▼f2023

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