Abstract
In the present study, the CO2 storage potential of a subsurface sandstone layer of the Blackfoot field, Alberta, Canada, is evaluated. In this study, seismic reservoir monitoring has been performed to monitor fluid flow effects in seismic amplitudes. In order to monitor CO2 fluid viability, the Gassmann fluid substitution analysis is also performed to analyze the seismic amplitude response along with the seismic forward modeling which is used to generate seismic data from the geological model. From the seismic forward modeling, a significant variation in seismic amplitude is recognized due to fluid substitution. From the Gassmann approach, considerable changes in P-wave and S-wave velocities, densities, and impedances are observed with increasing CO2 saturation. From the results, it is observed that the sudden drop in acoustic impedance occurs between 0 and 20% CO2 saturation and that leads to the detectable time shift at the top of the CO2 plume. Further, amplitude versus offset (AVO) and Lambda-mu-rho (LMR) analyses have been performed to demonstrate the detectability capacity of these parameters due to the change in fluid saturation in the porous media. In addition, time delays at the injected reflector are also measured. The changes caused by the CO2 plume in the seismic section are also identified by subtracting the monitor model (CO2 saturated model) from the baseline model (0% CO2 saturated model) in time domain as well as in impedance domain. The proposed amount of CO2 injection is considered as 105 tonnes for one year of injection. The study demonstrates that the CO2 plume can be detected in a more detailed way with very high resolution by working in impedance domain rather than working in time domain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bachu S, Gunter WD, Perkins EH (1994) Aquifer disposal of CO2: hydrodynamic and mineral trapping. Energy Convers Manage 35(4):269–279
Chadwick RA, Noy D, Arts R, Eiken O (2009) Latest time-lapse seismic data from Sleipner yield new insights into CO2 plume development. Energy Procedia 1(1):2103–2110
Chadwick A, Williams G, Delepine N, Clochard V, Labat K, Sturton S, Buddensiek ML, Dillen M, Nickel M, Lima AL, Arts R (2010) Quantitative analysis of time-lapse seismic monitoring data at the Sleipner CO2 storage operation. Lead Edge 29(2):170–177
Fanchi JR (2001) Feasibility of monitoring CO2 sequestration in a mature oil field using time-lapse seismic analysis. In: SPE/EPA/DOE exploration and production environmental conference, Society of Petroleum Engineers. https://doi.org/10.2118/66569-ms
Gassmann F (1951) Über die elastizität poröser medien. Vierteljahrss-chrift der Naturforschenden Gesellschaft in Zurich 96:1–23. http://sepwww.stanford.edu/sep/berryman/PS/gassmann.pdf. Accessed 22 Mar 2019
Ghaderi A, Landrø M (2009) Estimation of thickness and velocity changes of injected carbon dioxide layers from prestack time-lapse seismic data. Geophysics 74(2):O17–O28
Ivanova A, Kashubin A, Juhojuntti N, Kummerow J, Henninges J, Juhlin C, Lüth S, Ivandic M (2012) Monitoring and volumetric estimation of injected CO2 using 4D seismic, petrophysical data, core measurements and well logging: a case study at Ketzin, Germany. Geophys Prospect 60(5):957–973
Landrø M (2002) Uncertainties in quantitative time-lapse seismic analysis. Geophys Prospect 50(5):527–538
Mathieson A, Midgley J, Dodds K, Wright I, Ringrose P, Saoul N (2010) CO2 sequestration monitoring and verification technologies applied at Krechba, Algeria. Lead Edge 29(2):216–222
Moradi S, Lawton DC (2015) Time-lapse numerical modelling of the Quest carbon capture and storage (CCS) project. Poroelastic approach Geo-convention, Calgary, Canada. https://www.crewes.org/ForOurSponsors/ConferenceAbstracts/2015/CSEG/Moradi_1_CSEG_2015.pdf. Accessed 22 Mar 2019
Nordbotten JM, Celia MA, Bachu S (2005) Injection and storage of CO2 in deep saline aquifers: analytical solution for CO2 plume evolution during injection. Transp Porous Media 58(3):339–360
Pevzner R, Shulakova V, Kepic A, Urosevic M (2011) Repeatability analysis of land time-lapse seismic data: CO2CRC Otway pilot project case study. Geophys Prospect 59(1):66–77
Shuey RT (1985) A simplification of the Zoeppritz equations. Geophysics 50(4):609–614
Vadapalli U, Vedanti N (2016) Time-lapse seismic response evaluation based on well log data for Ankleshwar reservoir, Cambay basin, India. J Ind Geophys Union 20(5):472–481
Xue Z, Tanase D, Watanabe J (2006) Estimation of CO2 saturation from time-lapse CO2 well logging in an onshore aquifer Nagaoka Japan. Explor Geophys 37(1):19–29
Acknowledgements
The author (SP Maurya) is indebted to Science and Engineering Research Board, Department of Science and Technology, New Delhi, for the financial support in the form of National Postdoctoral Fellowship (NPDF) (grant no. PDF/2016/000888). The authors would also like to acknowledge CGGVeritas for providing data and software, without which this work could not be possible.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Maurya, S.P., Singh, N.P., Singh, K.H. (2020). Sensitivity Analysis of Petrophysical Parameters Due to Fluid Substitution in a Sandstone Reservoir. In: Singh, K., Joshi, R. (eds) Petro-physics and Rock Physics of Carbonate Reservoirs. Springer, Singapore. https://doi.org/10.1007/978-981-13-1211-3_19
Download citation
DOI: https://doi.org/10.1007/978-981-13-1211-3_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1210-6
Online ISBN: 978-981-13-1211-3
eBook Packages: EnergyEnergy (R0)