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Time-lapse difference seismic inversion based on scattering theory

delete2024-12-27
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PRE
AI
S
Shuying Wei
G
Guangtan Huang *
Y
Yamei Cao
DOI:10.1190/GEO2023-0769.1delete
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摘要

摘要

En 中文
Time-lapse seismic monitoring technology is an effective tool for quantitatively estimating subsurface medium variations and plays a crucial role in resource and engineering explorations. Among existing time-lapse inversion methods, the difference inversion technique offers higher accuracy but requires linear inversion operators. During linearization, the background is often approximated as a homogeneous medium, resulting in the loss of effective information. In addition, merely using reflection wave information is not conducive to improving inversion accuracy. However, the true structure of the subsurface is often complex and inhomogeneous, which can easily generate complex wavefields, such as scattering waves, thereby hindering the resolution of differences between time-lapse models. Therefore, incorporating more comprehensive wavefield information is essential for enhancing the accuracy of time-lapse seismic inversion. To address this issue, a wave equation-based time-lapse difference inversion method is developed to retrieve the production-induced property perturbation. In our method, the forward operator is formulated through the scattering wave equation, the operator is linearized through the Born approximation, and the Wentzel-Kramers-Brillouin-Jeffery method is used to approximate the Green's function with high accuracy for the inhomogeneous background. In this study, time-lapse seismic parallel inversion and difference inversion are conducted using our forward operator. Numerical experiments and application of field seismic data indicate that our time-lapse difference inversion method can realize a more accurate quantitative characterization of time-lapse variations.
Keyword:
WAVE-FORM INVERSION
ELASTIC-WAVES
PROPAGATION
FORMULATION

期刊

Geophysics 封面图
Geophysics
IF:
3.2
论文数:
8.4K
被引数:
3.3W

机构

U
university of chinese academy of sciences, cas
学者数:
4.1W
论文数: 3.8W
被引数: 75
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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