Q-Compensated Multidimentional Impedance Inversion Using Seislet-Domain Shaping Regularization

C. Li; J. Du; Z. Wang; G. Liu; X. Wang

doi:10.3997/2214-4609.202210441

Q-Compensated Multidimentional Impedance Inversion Using Seislet-Domain Shaping Regularization
Authors C. Li¹, J. Du², Z. Wang¹, G. Liu¹, X. Wang³
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Affiliations: ¹ China University of Petroleum, Beijing ² Marine Information System Co., Ltd. ³ Chinese Academy of Geological Sciences
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 83rd EAGE Annual Conference & Exhibition, Jun 2022, Volume 2022, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.202210441

Abstract

Summary

We propose a multichannel iterative scheme for acoustic impedance (AI) inversion for nonstationary seismic data. The proposed method incorporates seismic attenuation and seislet regularization into inversion, which compensates attenuation effect during AI inversion and enhances the lateral continuity of inversion result. Furthermore, seislet regularization can remove those noise-induced artifacts as well, which has contribution to seismic interpretation. We then apply the method to synthetic data and field data, which confirms that the proposed method is effective for AI inversion.

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2022-06-06

2024-04-27

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References

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Q-Compensated Multidimentional Impedance Inversion Using Seislet-Domain Shaping Regularization

Conference Proceedings 2022, 1 (2022); https://doi.org/10.3997/2214-4609.202210441

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Abstract

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The natural combination of full and image‐based waveform inversion

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Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture