Petroelastic modeling of sandstones

UDK: 550.8,013
DOI: 10.24887/0028-2448-2022-5-19-22
Key words: sandstone, Rock Physics model, anisotropy, heterogeneity, microstructure, ultrasonic measurement
Authors: F. Goleij (Gubkin University, RF, Moscow), S.F. Khafizov (Gubkin University, RF, Moscow)

A mud supported sandstone core sample was selected to investigate the effect of various structural parameters including anisotropic clay platelets shapes and spatial orientation, fractures volume, shape and orientation on seismic waves velocities. For the selected cylindrical core sample, the following physical parameters were measured in laboratory pressure and temperature while keeping the sample dry: total porosity, permeability, bulk density, mineral content, and acoustic waves velocities radially in 7 different azimuths as well as along the vertical axial direction. Thereafter, a primary Rock Physic model is constructed based on the visual inspection of the SEM images. In the primary dual-porosity, constructed model the clay platelets morphology and spatial orientations were considered to be model parameters along the pores (cavities with aspect ratio between 0.1 and 1) and fractures (cavities with aspect ratio between 10-5 and 10-2) morphology and spatial orientations. The conducted sensitivity analysis depicted that the seismic waves velocities are not sensitive to the considered structural parameters for the clay platelets and pores. Therefore, the primary Rock Physic model was modified to delete the uninfluential parameters. Omitting the uninfluential parameters increases the weight of the influential parameters by decreasing the unknowns and degree of freedom for the model. The interior point algorithm was used to solve the inverse problem and find the model parameters. Seismic waves velocities were regenerated using the estimated parameters in the azimuths where the waves velocities measurements were conducted. Comparing the estimated and measured waves velocities shows that the best estimation was obtained for the compressional waves velocities (root mean squared error (RMSE) – 0.5 %), the estimation error is more for fast shear waves (RMSE – 1 %) and the most erroneous results are obtained when slow shear waves are estimated (RMSE – 2.5 %). The reason for more erroneous results obtained for the slow shear waves estimation might be because of the measurement error which is more for the slow shear waves velocity measurements in the laboratory.

References

1. Smith T.M. et al., Rock properties in low-porosity/low-permeability sandstones, The Leading Edge, 2009, no. 28(1), pp. 48–59, https://doi.org/10.1190/1.3064146

2. Huang X.-R. et al., Brittleness index and seismic rock physics model for anisotropic tight-oil sandstone reservoirs, Applied Geophysics, 2015, no. 12(1), pp. 11–22, https://doi.org/10.1007/s11770-014-0478-0

3. Ba J. et al., Biot‐Rayleigh theory of wave propagation in double‐porosity media, Journal of Geophysical Research, Solid Earth, 2011, V. 116(B6), https://doi.org/10.1029/2010JB008185

4. Dvorkin J. et al., Squirt flow in fully saturated rocks, Geophysics, 1995, no. 60(1), pp. 97–107, https://doi.org/10.1190/1.1443767

5. Da‐Xing W., A study on the rock physics model of gas reservoir in tight sandstone, Chinese Journal of Geophysics, 2017, V. 60(1), pp. 64–83, https://doi.org/10.1002/cjg2.30028

6. Xu S., White R.E., A new velocity model for clay‐sand mixtures, Geophysical Prospecting, 1995, V. 43(1), pp. 91–118, https://doi.org/10.1111/j.1365-2478.1995.tb00126.x

7. Pettijohn F.J., Sedimentary rocks: edited by FJ Pettijohn, Harper & Row, 1957, 518 p.

8. Ghasemi M.F., Bayuk I.O., Bounds for pore space parameters of petroelastic models of carbonate rocks, Izvestiya, Physics of the Solid Earth, 2020, V. 56(2), pp. 207–224, https://doi.org/ 10.1134/S1069351320020032

9. Peselnick L., Robie R.A., Elastic constants of calcite, Journal of Applied Physics, 1962, V. 33(9), pp. 2889–2892, https://doi.org/10.1063/1.1656709

10. Speziale S. et al., The elastic stiffness tensor of natural dolomite, Proceedings of EHPRG LIV Conference, 2016, September 2016

11. Bayuk I.O. et al., Elastic moduli of anisotropic clay, Geophysics, 2007, V. 72(5), pp. 107–117, https://doi.org/10.1190/1.2757624

12. Heyliger P. et al., Elastic constants of natural quartz, The Journal of the Acoustical Society of America, 2003, V. 114, pp. 644–650, https://doi.org/10.1121/1.1593063

13. Jakobsen M. et al., T-matrix approach to shale acoustics, Geophysical Journal International, 2003, no. 154(2), pp. 533–558, https://doi.org/10.1046/j.1365-246X.2003.01977.x

14. Nocedal J., Wright S.J., Linear programming: Interior-point methods. Numerical optimization, New York: Springer New York, 2006, pp. 392–420. 


Attention!
To buy the complete text of article (Russian version a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .