TY  - CONF
Y1  - 2011///
SN  - 9781457718847
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857093908&doi=10.1109%2fNatPC.2011.6136459&partnerID=40&md5=2db3357891f5e1df56445a4db543be94
A1  - Hosseini, S.J.
A1  - Mirkalaei, S.M.M.
A1  - Demiral, B.M.R.
CY  - Perak
AV  - none
N1  - cited By 0; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531
N2  - Immiscible WAG injection, like a couple of other EOR processes include three phase flow inside the reservoir. In order to conduct an accurate simulation study, a comprehensive understanding of three phase flow models available in commercial simulators is unavoidable. Furthermore, according to experimental works have been done on three phase relative permeability, all the studies from pore scale to field scale works dictate the strong dependency of three phase relative permeability to saturation history. This dependency is more obvious in I-WAG which is characterized by a sequence of three phase drainage and imbibitions cycles. In this study, we will investigate the degree of accuracy of different three phase relative permeability models by comparing them with experimental data. Then, we will show the simulation results of WAG injection using different three phase relative permeability models. Also, two and three phase hysteretic relative permeability models will be investigated and the results of the simulation will be compared to experimental data, showing the accuracy of different models. © 2011 IEEE.
KW  - Commercial simulators; Degree of accuracy; Experimental data; Field scale; Hysteresis models; Pore scale; Relative permeability model; Simulation studies; Three phase; Three-phase flow; Three-phase relative permeability
KW  -  Computer simulation; Sustainable development; Water injection
KW  -  Hysteresis
ID  - scholars1602
TI  - Comparison of different hysteretic relative permeability models and their performance on I-WAG recovery prediction
ER  -