Abstract
The strong reflection signal of igneous rock has a great shielding effect on its above and below reservoirs, often resulting in poor effect of reservoir prediction. How to strip the strong reflection signal to highlight the effective signal is an urgent problem. Due to the local distribution of igneous rock in the study area, and its thickness changes rapidly, and the reservoir also shows relatively strong reflection, it is easy to suppress effective signals by using wavelet decomposition and reconstruction methods to remove strong reflection. Therefore, the method of strip** strong reflection based on forward and inversion is innovatively proposed. First, the thickness and plane distribution of igneous rock are depicted by spectral inversion. Then, using the appropriate wavelet and the extracted impedance volume of igneous rock, the forward modeling is carried out to obtain its strong reflection signal. Finally, through data fusion, seismic data has been gotten without strong reflection of igneous rock. Model test and practical application show that this method can strip igneous rock strong reflection signal more accurately and reserve effective reservoir signal better. By inversion using the processed seismic data, the superimposed relationship and pinchout point of predicted sandstone are reasonable and clear, which better supports the well location deployment in this area. The formed method of strip** strong reflection based on forward and inversion has certain guiding significance for removing strong reflection of special lithological in similar areas or zones.
Copyright 2023, IFEDC Organizing Committee.
This paper was prepared for presentation at the 2023 International Field Exploration and Development Conference in Wuhan, China, 20–22 September 2023.
This paper was selected for presentation by the IFEDC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC Technical Team and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC Technical Committee its members. Papers presented at the Conference are subject to publication review by Professional Team of IFEDC Technical Committee. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of IFEDC Organizing Committee is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC. Contact email: paper@ifedc.org.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang, Y.H.: Multi-channel matching pursuit for seismic trace decomposition. Geophysics 75(4), 61–66 (2010)
Zhao, S., Li, Z.D., Xu, H.M., et al.: Using multiple wavelet decomposition technique to detect the sandstone reservoir with coal layer. Nat. Gas. Ind. 27(9), 44–47 (2007)
She, G., Zhou, X.Y., Wang, J.B.: Prediction of sand reservoir with multi-Wavelet seismic trace decomposition and reconstruction. J. Southwest Pet. Univ. (Sci. Technol. Edn.) 35(1), 19–27 (2013)
Jiang, Y., Zhang, J.H., Han, H.W., et al.: Elimination of strong reflection influence based on optimized variational mode decomposition method: a case study of the target processing of beach bar sand of Es4 in Dongying Sag. Oil Geophys. Prospect. 55(1), 147–152 (2020)
Mallat, S.G., Zhang, Z.: Matching-pursuit with time frequency dictionaries. IEEE Trans. Signal Process. 41(12), 3397–3415 (1993)
Liu, J., Wu, Y., Han, D., et al.: Time-frequency decomposition based on Ricker wavelet. In: SEG Technical Program Expanded Abstracts, vol. 23, pp. 1937–1940 (2004)
Yang, Z.P., Song, W.Q., Liu, J., et al.: A method of combining multi-channel signals to suppress the strong reflection through matching pursuit. Oil Geophys. Prospect. 56(1), 77–85 (2021)
Xu, L., Wu, X.H., Zhang, M.Z., et al.: Strong reflection identification and separation based on the local-frequency-constrained dynamic matching pursuit. Oil Geophys. Prospect. 54(3), 587–593 (2019)
Han, Z.Y., Song, W., Li, J.G., et al.: Strong coal-seam reflection suppression by fast matching pursuit based on dictionary learning. Oil Geophys. Prospect. 57(5), 1156–1163 (2022)
Zhang, S.Q., Zhang, Z.J., Li, Y., et al.: Adaptive strong reflection separation method based on seismic phase decomposition. Oil Geophys. Prospect. 56(6), 1236–1242 (2021)
Lopez, J.A., Partyka, G., Haskell, N.L., et al.: Identification of deltaic facies with 3D seismic coherency and spectral decomposition cube. In: Abstract of Istanbul 1997 International Geophysical Conference and Exposition, pp. 7–10 (1997)
Puryear, C.I., Castagna, J.P.: Layer-thickness determination and stratigraphic interpretation using spectral inversion: theory and application. Geophysics 73(2), 37–48 (2008)
Huo, Z.Z., **ong, D., Zhang, J.F.: Application of the preconditioned conjugate gradient method to reconstruction of seismic data. Chin. J. Geophys. 56(4), 1321–1330 (2013)
Chi, H.Z., Liu, C., Shan, X.L., et al.: Application of spectral inversion for tight thin-bed sand body prediction. Geophys. Prospect. Pet. 54(3), 8–9 (2015)
Acknowledgments
The project is supported by Major Science and Technology Project of CNPC (Number 2018E-11).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Liu, Hz., Guo, Sw., Zhao, C., Guo, Cx., Sun, T. (2024). Method Research and Application of Strip** Strong Reflection of Igneous Rock Based on Forward and Inverse. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2023. IFEDC 2023. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-97-0483-5_41
Download citation
DOI: https://doi.org/10.1007/978-981-97-0483-5_41
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0482-8
Online ISBN: 978-981-97-0483-5
eBook Packages: EngineeringEngineering (R0)