1887

Abstract

Summary

We propose a complete workflow for simulating different scenarios of reservoir exploitation, including various types of combinations of alkaline (A), surfactant (S) and polymer (P), namely P, S, SP, AS and ASP. The model is constructed from the numerous geological observations on a quarry located close to Ainsa town (southern Pyrenees, Spain), a well-known analogue of turbiditic complexes offshore West Africa. The workflow goes from geological description to seismic monitoring simulation and seismic attributes analysis, through geological and reservoir modelling, flow simulation and rock physics petroelastic modelling. The efficiency of chemical enhanced oil recovery by polymer injection is demonstrated, and successfully compared to conventional water flooding. For each process, the link is clear between the cube of oil saturation variation and the corresponding seismic attribute cube, such as the modulus of Hilbert transform of the difference seismic cube (monitor minus baseline) both put in the baseline time. The limit of the swept zone is clearly visible on seismic cubes. Hence, seismic monitoring between the injection and the production wells clearly allows to anticipate the success or the breakdown of the process, in order to optimize the operations in the field.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700693
2017-06-12
2024-04-26
Loading full text...

Full text loading...

References

  1. Manrique, E. J., Thomas, C. P., Ravikiran, R., Izadi Kamouei, M., Lantz, M., Romero, J. L., Alvarado, V.
    (2010). EOR: current status and opportunities. InSPE improved oil recovery symposium. Society of Petroleum Engineers.
    [Google Scholar]
  2. Cossé, R.
    (1993). Basics of reservoir engineering: Éditions Technip.
    [Google Scholar]
  3. ZhangL, XiaoH, ZhangH, XuL, ZhangD
    (2007) J Petrol Sci Eng59:213–218.
    [Google Scholar]
  4. HouJ, LiuZ, ZhangS, YueX, YangJ
    (2005) J Petrol Sci Eng47:219–235
    [Google Scholar]
  5. ZerpaLE, QueipoNV, PintosS, SalagerJL
    (2005) J Petrol Sci Eng47:197–208
    [Google Scholar]
  6. Arbués, P., Mellere, D., Falivene, O., Fernández, O., Muñoz, J.A., Marzo, M., De Gibert, J. M.
    (2007). Context and architecture of the Ainsa-1-quarry channel complex, Spain. Atlas of deep-water outcrops: AAPG Studies in Geology.
    [Google Scholar]
  7. SchmitzJ., DeschampsR., JosephP., LeratO., DoligezB., JardinA.
    (2014) From 3D photogrammetric outcrop model towards reservoir models: An integrated modelling workflow. Vertical Geology Conference 2014, University of Lausanne, Switzerland.
    [Google Scholar]
  8. Zarate Rada, J.
    , 2016, Chemical Enhanced oil recovery modelling, MS Memoir in Développement et Exploitation des Gisements, IFP School.
    [Google Scholar]
  9. Le Ravalec, M., Tillier, E., Da Veiga, S., Enchéry, G., Gervais, V.
    (2012). Advanced integrated workflows for incorporating both production and 4D seismic-related data into reservoir models. Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles, 67(2), 207–220.
    [Google Scholar]
  10. Rasolofosaon, P. N. J., Zinszner, B.
    (2012). Oil & Gas Science and Technology–67(2), 303–318.
    [Google Scholar]
  11. Batzle, M., Wang, Z.
    (1992). Geophysics, 57(11), 1396–1408.
    [Google Scholar]
  12. Delépine, N., Labat, K., Clochard, V., Ricarte, P., Le Bras, C.
    (2010). 4D Joint pre-stack seismic stratigraphic inversion of the Sleipner-CO2 case. In 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700693
Loading
/content/papers/10.3997/2214-4609.201700693
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error