Abstract
The uncertainty associated with seismic interpretation poses a significant challenge to the hydrocarbon industry in accurately identifying the potential hydrocarbon zones. Over the years several new techniques have emerged to address this problem. Amplitude variation with offset analysis is one of the prominent methods to estimate various subsurface properties from pre-stack gathers. Due to the presence of fluid in reservoir pores, seismic velocity dispersion occurs within the seismic bandwidth, resulting in reflection coefficient as a function of frequency. In this study, a prototype inversion scheme is developed for frequency-dependent amplitude vs. offset analysis, which is tested on both the synthetic and field data. The synthetic data are generated using a three-layered model with a spherical anomaly. The application of this method to synthetic data indicates anomalous high amplitude in P-wave dispersion gradient, and helps in identifying effects of spherical inclusion. Further application of this method to field data from North Viking Graben, North Sea clearly delineates the hydrocarbon-bearing reservoir identified on the well log data between ~1.8 and 1.9 s two-way travel time.
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References
Aki K and Richards P G 1980 Quantitative seismology; W. H. Freeman, New York, 2.
Bohlen T, De Nil D, Daniel K and Jetschny S 2015 SOFI2D, seismic modeling with finite differences 2D-elastic and viscoelastic version, User’s Guide; Karlsruhe Institute of Technology, Karlsruhe.
Bortfeld R 1961 Approximations to the reflection and transmission coefficients of plane longitudinal and transverse waves; Geophys. Prospect. 9(4) 485–502.
Chapman M, Liu E and Li X Y 2005 The influence of abnormally high reservoir attenuation on the AVO signature; Leading Edge 24 1120–1125.
Cheng B J, Xu T G and Li S G 2012 Research and application of frequency dependent AVO analysis for gas recognition; Chin. J. Geophys. 55 608–613.
Feng H and Bancroft J C 2006 AVO principles, processing and inversion; CREWES Res. Rep. 18 1–19.
Ghosal D and Juhlin C 2018 Estimation of dispersion attributes at seismic frequency – A case study from the Frigg-Delta reservoir, North sea; J. Geophys. Eng. 15(5) 1799–1810.
Keys R G and Foster D J 1998 A data set for evaluating and comparing seismic inversion methods; In: Comparison of seismic inversion methods on a single real data set (eds) Keys R G and Foster D J, SEG, 12p.
Kirsch A 2011 An introduction to the mathematical theory of inverse problems; Vol. 120, Springer Science and Business Media.
Levander A R 1988 Fourth-order finite-difference P-SV seismograms; Geophysics 53(11) 1425–1436.
Liu J, Ning J R, Liu X W, Liu C Y and Chen T S 2019 An improved scheme of frequency-dependent AVO inversion method and its application for tight gas reservoirs; Geofluids 12 ID 3525818, https://doi.org/10.1155/2019/3525818.
Madariaga R 1976 Dynamics of an expanding circular fault; Bull. Seismol. Soc. Am. 66 639–666.
Pant A, Ghosal D and Puryear C I 2019 Improved reservoir delineation in complex geologic settings using CLSSA: A case study from offshore Nova Scotia; In: 81st EAGE annual conference and exhibition, 4p, https://doi.org/10.3997/2214-4609.201900687.
Pant A, Ghosal D and Puryear C I 2020 Comparative study of wavelet-based recent spectral decomposition algorithms for seismic signals; In: 82nd EAGE annual conference and exhibition, 4p.
Puryear C I, Portniaguine O N, Cobos C M and Castagna J P 2012 Constrained least-squares spectral analysis: Application to seismic data; Geophysics 77(5) V143–V167.
Rayner J N 2001 Spectral analysis; In: Int. J. Social Behav. Sci., pp. 14,861–14,864, ISBN: 0-08-043076-7.
Shuey R T 1985 A simplification of the Zoeppritz equations; Geophysics 50 609–614.
Smith G C and Gidlow P M 1987 Weighted stacking for rock property estimation and detection of gas; Geophys. Prospect. 35 993–1014.
Virieux J 1986 P-SV wave propagation in heterogeneous media: Velocity-stress finite-difference method; Geophysics 51 889–901.
Wilson A 2010 Theory and methods of frequency-dependent AVO inversion; PhD Thesis, School of Geosciences, University of Edinburgh, UK.
Wu L, Castagna J P and Oyem A 2017 Quantitative resolution analysis for spectral decomposition using regularized inversion; In: SEG International exposition and 87th annual meeting, pp. 3123–3127.
Wu X Y, Chapman M and Li X Y 2014 Estimating seismic dispersion from pre-stack data using frequency dependent AVO analysis; J. Seismol. Explor. 23 219–239.
Zoeppritz K 1919 Erdbebenwellen VIII B, Uber reflexion and Durchgang seismischer Wellen durch Unstetigkeitsflachen; Gottinger Nachr. 1 66–84.
Acknowledgements
This project is funded by the Oil and Natural Gas Corporation of India (ONGC). We thank Mobil for the open access data used in this study, and HRS and Paradigm Echos for providing the academic licenses for seismic data processing.
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Shubham Tiwari: Coding, writing, data analysis, and figures; Dibakar Ghosal: Conceptualisation, writing, editing, and figures; Rahul Singh: Providing datasets, reviewing, and editing; Subbarao Yelisetti: reviewing and editing.
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Tiwari, S., Ghosal, D., Singh, R.K. et al. Mapping of hydrocarbon-bearing reservoirs using frequency-dependent amplitude vs. offset (FAVO). J Earth Syst Sci 131, 43 (2022). https://doi.org/10.1007/s12040-021-01783-z
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DOI: https://doi.org/10.1007/s12040-021-01783-z