Abstract
Vertical fractures cause azimuthal anisotropy in the wave-energy attenuation. To predict the fractures’ azimuth from seismic data, we develop a method of analysis of azimuthal variations in the attenuation. It is so-called QVOA analysis that means “Q Versus Offset and Azimuth”. Fractures’ network can be represented as an anisotropy model of a transversally isotropic medium with a horizontal axis of symmetry (HTI). As a sought-for parameter, we consider the fractures’ azimuth (φ0), which identifies the fracture strike. We develop our QVOA method to estimate the φ0-azimuth of fractures from seismic data simulated by physical modeling. The Q-data on the attenuation are estimated along three seismic lines with 3 azimuths of the source-receiver line, φ = \(0^\circ\), φ = \(45^\circ\), and φ = \(90^\circ\). To estimate the fracture-strike φ0-azimuth, we use the least squares method (LSM), namely, we minimize the functional of the difference between the theoretical function Q−1(θ, φ–φ0) and the real attenuation estimated from seismic data. We estimate the azimuth of the fracture strike (φ0) using our new Canonical equation of the Q−1(θ, φ–φ0)- function. The Canonical formula results in the smallest and the most stable absolute ∆φ0-angle error of \(0.26^\circ\) (compared to the older versions of QVOA-method). The maximal attenuation is obtained at the φ = \(0^\circ\)the orthogonal direction to the fracture strike; and the minimal attenuation is at the φ0 = \(90^\circ\), which is the fracture-strike azimuth. Thus, the experiment fully confirms the theory.
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References
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Acknowledgments
The project is supported by Mexican Petroleum Institute (“Instituto Mexicano del Petroleo (IMP)”), Project number D.62029.
This work is dedicated to the memory of two outstanding scientists, researchers of seismic anisotropy: my mother, Irina R. Obolentseva (1936–2021), and Vladimir Yu. Grechka (1962–2020), who was her student in Russia.
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Chichinina, T., Sabinin, V., Avila-Carrera, R., Polovkov, V., Popov, D., Ding, P. (2024). Seismic Fracture Characterization by QVOA Analysis Using Simulated Seismic Data by Physical Modeling. 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_65
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DOI: https://doi.org/10.1007/978-981-97-0483-5_65
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