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http://dx.doi.org/10.7582/GGE.2015.18.3.143

An Analysis on Applicability of Geophysical Exploration Methods to Monitoring Polymer-flooding  

Cheon, Seiwook (Department of Energy and Mineral Resources Engineering, Sejong University)
Park, Chanho (Department of Energy and Mineral Resources Engineering, Sejong University)
Ku, Bonjin (Department of Energy and Mineral Resources Engineering, Sejong University)
Nam, Myung Jin (Department of Energy and Mineral Resources Engineering, Sejong University)
Son, Jeong-Sul (Korea Institute of Geoscience and Mineral Resources)
Publication Information
Geophysics and Geophysical Exploration / v.18, no.3, 2015 , pp. 143-153 More about this Journal
Abstract
Polymer flooding for enhancing hydrocarbon production injects into a reservoir polymer solution that is viscous. It is very important to monitor the behavior pattern of the polymer solution in order to evaluate the effectiveness of polymer flooding. To monitor the distribution of polymer solution and thus fluid substitution within the reservoir, we first construct seismic and resistivity rock physics models (RPMs), which are functions of reservoir parameters such as rocks and type of fluid, fluid saturation. For the seismic and resistivity RPMs, responses of seismic and electromagnetic (EM) tomography are numerically simulated as polymer injection, using two dimensional (2D) staggered-grid finite difference elastic modeling and 2.5D finite element EM modeling algorithms, respectively. In constructing RPM for EM tomography, three different reservoir rocks are considered: clean-sand, dispersed shale-sand, and sand-shale lamination rocks. The polymer solution is assumed to have 2 wt% of polymer as normally generated, while water is freshwater or saltwater. Further, neutron logging is also considered to check its sensitivity to polymer flooding. The techniques discussed in the paper are important in monitoring not only hydrocarbon but also geothermal reservoirs.
Keywords
monitoring; geothermal reservoir; hydrocarbon reservoir; polymer flooding;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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1 Archie, G. E., 1942, The Electrical Resistivity Log as and Aid in Determining some Reservoir Characteristics, Trans. AIME, 146, pp. 54-62.   DOI
2 Carlos, C., Fredy, A., Wilson, F., and Vladimir A., 2008, Timelapse seismic modeling assisted by numerical reservoir simulation of water and gas flooding scenarios in oil reservoirs, Sociedade Brasileira de Geofisica, 26(2), 195-209.   DOI
3 Dvorkin, J., and Nur, A., 2000, Critical Porosity Models, Department of Geophysics, Stanford University, Stanford, CA 94305-2215.
4 Gassmann, F., 1951, Uber die elastizitat poroser medien, Veirteljahrsschrift der Naturforschenden Gesellschaft in Zurich, No. 96, pp. 1-23.
5 Jang, J. H., and Nam, M. J., 2013, A Review on Nuclear Magnetic Resonance Logging: Simulation Schemes, Jigu- Mulli-wa-Mulli-Tamsa, 16(2), 97-105.
6 Klein, J. D., Martin, P. R., and Allen, D. F., 1997, The petrophysics of electrically anisotropic reservoirs, The Log Analyst, May-June.
7 Ku, B. J., and Nam, M. J., 2012, A study on slim-hole neutron logging based on numerical simulation, Jigu-Mulli-wa-Mulli-Tamsa., 15(4), 219-226.
8 Ku, B. J., Nam, M. J., and Hwang, S. H., 2012, A study on slim-hole density logging based on numerical simulation, Jigu-Mulli-wa-Mulli-Tamsa., 15(4), 227-234.
9 Lee, K. S., 2010, Comparison of Reservoir Performances for Chemical Enhanced Oil Recovery, J. Korean Soc. Miner. Energy Resour. Eng., 47(3), 291-299.
10 Mavko, G., Mukerji, T., and Dvorkin, J., 2009, The Rock Physics Handbook: Tools for Seismic Analysis of Porous Media, 2rd ED., Cambridge University Press, USA, pp. 1-503.
11 Nur, A., Mavko, G., Dvorkin, J., and Gal, D., 1998, Critical porosity: A Key to Relating Physical Properties to Porosity in Rocks, The Leading Edge, 17, pp. 357-362.   DOI   ScienceOn
12 Phung K. T. Nguyen, Myung Jin Nam, and Seungpil Jung, 2014, A preliminary study on sensitivity of seismic responses to changes in reservoir parameters using various RPMconstructing strategies, Geosystem Engineering, 17, Issue. 4, 207-218   DOI
13 Park, C. H., and Nam, M. J., 2014, A Review on Constructing Seismic Rock Physics Models Based on Gassmann's Equation for Reservoir Fluid Substition, J. Korean Soc. Miner. Energy Resour. Eng., 51(3), 448-467.   DOI
14 Park, C. H., Cheon, S. W., Ku, B. J., and Nam, M. J., 2014, A Review and Analysis on Constructing Electrical Resistivity Models for Hydrocarbon Reservoirs Based on the Characteristics of Shale Distribution, J. Korean Soc. Miner. Energy Resour. Eng., 51(1), 97-115.   DOI
15 Russell, B. H., and Smith, T., 2007, The relationship between dry rock bulk modulus and porosity − An empirical study, CREWES Research Report, 4(4), 143-147.
16 Sharma, M., Taware, S., and Datta-Gupta, A., 2011, Optimizing Polymerflood via Rate Control, paper SPE 144833 presented at the SPE Enhanced Oil Recovery Conference, Kuala Lumpur, Malaysia, July 19-21.
17 Simandoux, P., 1963, Dielectric Measurements on Porous Media: Application to Measurement of Water Saturation: Study of the Behavior of Argillacious Formation, SPWLA, Houston, pp. 97-124.
18 Wang, Y., Pang, Y., Shao, Z., Han, P., Li, R., Cao, R., and He, X., 2013, The Polymer Flooding Technique Applied at High Water Cut Stage in Daqing Oilfield, paper SPE 164595 presented at the North Africa Technical Conference & Exhibition, Cairo, Egypt, April 15-17.