Computerized tomography study of the microscopic flow mechanism of polymer flooding

Transport in Porous Media

Volumn 79, Issue 3, 2009, Pages 407-418

  Hou, Jian ^a   Li, Zhenquan ^b   Zhang, Sunkang ^c   Cao, Xulong ^b   Du, Qingjun ^a   Song, Xinwang ^b  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b SINOPEC   (China)

^c Research Institute of Geologic Science   (China)

Author keywords

CT experiment; Microscopic flow; Polymer flooding; Water flooding

Indexed keywords

CT EXPERIMENT; DISPLACEMENT EFFICIENCY; IMAGE PROCESSING - METHODS; MICROSCOPIC DISPLACEMENT; MICROSCOPIC FLOW; MICROSCOPIC MECHANISMS; MOBILITY RATIOS; OIL RECOVERIES; OIL SATURATION; POLYMER FLOODING; PRE-PROCESSING; QUANTITATIVE CHARACTERIZATION; REMAINING OIL; SWEEP EFFICIENCY; THREE DIMENSIONAL VISUALIZATION; THREE-DIMENSIONAL CONSTRUCTION; VISCOELASTIC EFFECTS; WATER DISTRIBUTIONS; WATER FLOODING;

COMPUTERIZED TOMOGRAPHY; EXPERIMENTS; IMAGE PROCESSING; MEDICAL IMAGING; POLYMERS; PROCESSING; THREE DIMENSIONAL; WATER SUPPLY;

OIL WELL FLOODING;

EFFICIENCY MEASUREMENT; ENHANCED OIL RECOVERY; EXPERIMENTAL STUDY; FLOODING; IMAGE PROCESSING; INTERPOLATION; POLYMER; POROUS MEDIUM; SATURATION; SEGMENTATION; TOMOGRAPHY; VISCOELASTICITY; VISUALIZATION;

EID: 69049113979     PISSN: 01693913     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11242-008-9330-9     Document Type: Article

References (20)

1. Bryan J., Kantzas A., Bellehumeur C.: Oil-viscosity predictions from low-field NMR measurements. SPE Reserv. Eval. Eng. 8(1), 44-52 (2005)
2. Chang H.L., Zhang Z., Wang Q., Xu Z., Guo Z., Sun H., Cao X., Qiao Q.: Advances in polymer flooding and alkaline/surfactant/polymer processes as developed and applied in the People's Republic of China. J. Pet. Technol. 58(2), 84-89 (2006). doi: 10.2118/89175-MS
3. Dastidar R., Rai C.S., Sondergeld C.H., Shahreyar R.: NMR response of two clastic reservoirs: Influence of depositional environment. Petrophysics 47(3), 214-222 (2006)
4. Denney D.: Investigating foamy-oil flow with a high-pressure etched-glass micromodel. J. Pet. Technol. 55(10), 54-55 (2003)
5. Denney D.: Characterization of water injection in low-permeability rock using sandstone micromodels. J. Pet. Technol. 56(5), 71-72 (2004)
6. Dong M., Foraie J., Huang S., Chatzis I.: Analysis of immiscible water-alternating-gas (WAG) injection using micromodel tests. J. Can. Petrol. Technol. 44(2), 17-24 (2005)
7. Du D., Zitha P.L.J., Uijttenhout M.G.H.: Carbon dioxide foam rheology in porous media: A CT scan study. Soc. Pet. Eng. J. 12(2), 245-252 (2007)
8. Hidajat I., Mohanty K.K., Flaum M., Hirasaki G.J.: Study of Vuggy carbonates using NMR and X-ray CT scanning. SPE Reserv. Eval. Eng. 7(5), 365-377 (2004)
9. Hou J., Zhang S., Yuan S.: Quantitative analysis of remaining oil in polymer flooding microscopic seepage images. J. Hydrodyn. Ser. A 21(1), 41-45 (2006) in Chinese
10. Lago M., Huerta M., Gomes R.: Visualization study during depletion experiments of Venezuelan heavy oils using glass micromodels. J. Can. Petrol. Technol. 41(1), 41-47 (2002)
11. Li G., Karpyn Z.T., Halleck P.M., Grader A.S.: Numerical simulation of a CT-scanned counter-current flow experiment. Transp. Porous Media 60(2), 225-240 (2005). doi: 10.1007/s11242-004-5738-z
12. Lorensen WAE., Cline H.E.: Marching cubes: a high resolution 3D surface construction algorithm. Comput. Graph. (ACM) 21(4), 163-169 (1987). doi: 10.1145/37402.37422
13. Romero-Zeron L., Kantzas A.: Pore-scale visualization of foamed gel propagation and trapping in a pore network micromodel. J. Can. Petrol. Technol. 44(5), 44-50 (2005)
14. Ruzyla K.: Characterization of pore space by quantitative image analysis. SPE Form. Eval. 1(4), 389-398 (1986)
15. Schembre J.M., Kovscek A.R.: A technique for measuring two-phase relative permeability in porous media via X-ray CT measurements. J. Petrol. Sci. Eng. 39(1-2), 159-174 (2003). doi: 10.1016/ S0920-4105(03)00046-9
16. Toumelin E., Torres-Verdin C., Sun B., Dunn K.: Random-walk technique for simulating NMR measurements and 2D NMR maps of porous media with relaxing and permeable boundaries. J. Magn. Reson. 188(1), 83-96 (2007). doi: 10.1016/j.jmr.2007.05.024
17. van Dijke M.I.J., Sorbie K.S., Sohrabi M., Danesh A.: Simulation of WAG floods in an oil-wet micromodel using a 2-D pore-scale network model. J. Petrol. Sci. Eng. 52 (1-4), 71-86 (2006). doi: 10.1016/ j.petrol.2006.03.014
18. Walsh M.P., Withjack E.M.: Some remarkable observations of laboratory dispersion using computed tomography (CT). J. Can. Petrol. Technol. 33(4), 36-44 (1994)
19. Wang D., Cheng J., Yang Q.: Viscous-elastic polymer can increase micro-scale displacement efficiency in cores. Acta Petrol. Sin. 21(5), 45-51 (2000) in Chinese
20. Zou C., Yin X.: 3-D matching interpolation based on images segmentation. Comput. Eng. Appl. 40(24), 80-82 (2004) in Chinese