iraj ershaghi - Google Scholar

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Doddy AbdassahProfessor of Reservoir Engineering, Institut Teknologi BandungEmail verificata su tm.itb.ac.id
Antonio OrtegaProfessor of Electrical and Computer Engineering, University of Southern CaliforniaEmail verificata su sipi.usc.edu
Andrei S Popa Technology Advisor, ChevronEmail verificata su chevron.com
Shuping LiuUniversity of Southern CaliforniaEmail verificata su usc.edu
Tayfun BabadagliUniversity of AlbertaEmail verificata su ualberta.ca
C S RaghavendraProfessor of Electrical Engineering, University of Southern CaliforniaEmail verificata su usc.edu
Amin RezapourPhD, University of Southern CaliforniaEmail verificata su usc.edu
Mehdi KorjaniEmail verificata su alumni.usc.edu
Ali Al-Bemani,Associate ProfessorEmail verificata su squ.edu.om
YenTing LinUniversity of Southern CaliforniaEmail verificata su usc.edu
Farnoush Banaei-KashaniAssistant Proferssor of Computer Science and Engineering, University of Colorado DenverEmail verificata su ucdenver.edu
Cyrus ShahabiProfessor of Computer Science, University of Southern CaliforniaEmail verificata su usc.edu
Ramakrishna SomaGrand RoundsEmail verificata su acm.org
Ali KhodaeiPhD. Student of Computer Science, USC Email verificata su usc.edu
Cenk TEMIZELSaudi AramcoEmail verificata su alumni.stanford.edu
Cyrus AshayeriUniversity of Southern CaliforniaEmail verificata su usc.edu
I. Yucel AkkutluProfessor of Petroleum Engineering, Texas A&M UniversityEmail verificata su tamu.edu
Charalampos ChelmisAssistant Professor, University at Albany - State University of New YorkEmail verificata su albany.edu
Viktor K. PrasannaUniversity of Southern CaliforniaEmail verificata su usc.edu
Ziheng YangRA Fisher Professor of Statistical Genetics, University College LondonEmail verificata su ucl.ac.uk

iraj ershaghi

University of Southern California

Email verificata su usc.edu

Reservoir Characterization-Smart Oilfields


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Triple-porosity systems for representing naturally fractured reservoirs D Abdassah, I Ershaghi SPE Formation Evaluation 1 (02), 113-127, 1986	248	1986
Practical application of fractal pressure transient analysis of naturally fractured reservoirs JA Acuna, I Ershaghi, YC Yortsos SPE Formation Evaluation 10 (03), 173-179, 1995	167	1995
A method for extrapolation of cut vs recovery curves I Ershaghi, O Omorigie Journal of Petroleum Technology 30 (02), 203-204, 1978	100	1978
Pressure transient analysis of dually fractured reservoirs A Al-Ghamdi, I Ershaghi Spe Journal 1 (01), 93-100, 1996	76	1996
Electrical resistivity of geothermal brines H Ucok, I Ershaghi, GR Olhoeft Journal of Petroleum Technology 32 (04), 717-727, 1980	62	1980
A prediction technique for immiscible processes using field performance data (includes associated papers 13392, 13793, 15146 and 19506) I Ershaghi, D Abdassah Journal of petroleum technology 36 (04), 664-670, 1984	55	1984
Complexities of using neural network in well test analysis of faulted reservoirs IR Juniardi, I Ershaghi SPE western regional meeting, 1993	46	1993
Imbibition assisted two-phase flow in natural fractures T Babadagli, I Ershaghi SPE Western Regional Meeting, 1992	44	1992
A robust neural network model for pattern recognition of pressure transient test data I Ershaghi, X Li, M Hassibi, Y Shikari SPE annual technical conference and exhibition, 1993	37	1993
Pressure transient analysis of heterogeneous naturally fractured reservoirs Y Jalali, I Ershaghi SPE California Regional Meeting, 1987	36	1987
Thermal Stability of Surfactants for Reservoir Application (includes associated papers 11323 and 11597) LL Handy, JO Amaefule, VM Ziegler, I Ershaghi Society of Petroleum Engineers Journal 22 (05), 722-730, 1982	33	1982
Fractal analysis of pressure transients in the Geysers geothermal field JA Acuna, I Ershaghi, YC Yortsos Petroleum Engineering Program, University of Southern California, Los …, 1992	31	1992
A method for estimating the interporosity flow parameter in naturally fractured reservoirs DO Uldrich, I Ershaghi Society of Petroleum Engineers Journal 19 (05), 324-332, 1979	30	1979
Reservoir characterization using fuzzy kriging and deep learning neural networks MM Korjani, AS Popa, E Grijalva, S Cassidy, I Ershaghi SPE Annual Technical Conference and Exhibition, 2016	25	2016
Global model for failure prediction for artificial lift systems Y Liu, KT Yao, CS Raghavendra, A Wu, D Guo, J Zheng, L Olabinjo, ... US Patent 9,292,799, 2016	25	2016
Outlines: history of the Chinese in America HM Lai, PP Choy Chinese-American Studies Planning Group, 1973	23	1973
Injectivity losses under particle cake buildup and particle invasion I Ershaghi, R Hashemi, SC Caothien, D Abdassah SPE California regional meeting, 1986	22	1986
Determining the 3-D fracture structure in the Geysers geothermal reservoir CG Sammis, L An, I Ershaghi University of Southern California, Los Angeles, CA, 1992	21	1992
Injection scheduling design for reduced order waterflood modeling T A Tafti, I Ershaghi, A Rezapour, A Ortega SPE Western Regional & AAPG Pacific Section Meeting 2013 Joint Technical …, 2013	19	2013
A method for characterization of flow units between injection-production wells using performance data I Ershaghi, A Ortega, KH Lee, A Ghareloo SPE Western Regional and Pacific Section AAPG Joint Meeting, 2008	19	2008

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