journal article·2019-02-18Open access

A Low-Order Series Approximation of Thin-Bed PP-Wave Reflections

Chun Yang, Yun Wang, Jun Lu, Benchi Chen, Lei Shi

Applied Sciences· Volume 9· Issue 4

Abstract

The study of thin-bed seismic phenomena is important in crustal, exploration and engineering seismology. Presently, seismic reflectivity theories based on single-interface assumption are widely used though they are only suitable for thick deposits. Thin-bed reflectivity theories are established on complex propagator matrices and are difficult to be applied to reveal thin-bed properties directly. Therefore, an approximation of thin-bed PP-wave reflection coefficients (RPP) is derived in this paper. First, the relationship between thin-bed RPP and incidence angles is analyzed through series expansion method. For PP-wave, its reflection coefficients are even power series functions of sine incidence angles. Then, for small incidence, RPP of the thin bed is further simplified into a second-order series approximation with respect to the sine incidence angles. Simulations and accuracy analyses of the approximate formula show that approximation errors are smaller than 5% as the incidence angles smaller than 20 degrees. Based on this approximate formula, an approach is given for estimating thin-bed properties including P-wave impedance ratios and thickness. The estimation approach is applied in properties estimation of a thin bed model. Perfect performances of the model example show the future potentiality of the approximate formula in thin-bed Amplitude-Versus-Offset (AVO) analysis and inversion.
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Research context

OpenAlex topics: Seismic Imaging and Inversion Techniques · Seismic Waves and Analysis · Geophysical Methods and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Geological Processes and Mineral Resources, School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China

Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation Mechanism, Ministry of Education, China University of Geosciences, Beijing 100083, China

China Petroleum & Chemical Corporation, Beijing 100728, China

Petroleum Exploration and Production Research Institute of Sinopec, Beijing 100083, China

Funding

the 13th Five-year Plan Project Program · the Natural Science Foundation of China

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