Spectral-ratio tomography for seismic attenuation estimation

Author:

Jin Ziqi12,Shi Ying1,Ma Qiqi3,Tian Deguang2,Meng Qi'an2,Wang Weihong1

Affiliation:

1. Key laboratory of continental shale hydrocarbon accumulation and efficient development, Ministry of Education, Northeast Petroleum University, Daqing 163318, China

2. Research Institute of Exploration and Development of Daqing Oilfield Company Ltd, Daqing, Heilongjiang, 163712, China

3. Sinopec Petroleum Exploration and Production Research Institute, Beijing 102206, China

Abstract

Abstract When measuring surface seismic data, an accurate attenuation estimation method is necessary to compensate for the energy loss and phase distortion of seismic waves, and is also beneficial for further quantitative amplitude analyses and reservoir parameter predictions. For conventional Q-estimation methods (such as the log spectral-ratio (LSR) method and attenuated traveltime tomography), accuracy may be affected by the differences between the overburden ray paths of two selected reflections (we call it the overburden effect). In this study, we design a more accurate Q-tomography method to estimate Q-values (both in the overburden and target layer simultaneously) without overburden assumptions. We address the overburden effect by using an inversion method, which allows us to separate attenuation effects from the overburden through the traveltime differences in the tomography grid cells. We test the method on synthetic data and prove its feasibility and effectiveness by applying it to field data.

Funder

National Natural Science Foundation of China

Ministry of Education

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Reference27 articles.

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2. 3-D tomographic imaging of near-surface seismic velocity and attenuation;Brzostowski;Geophysics,1992

3. Dispersive body waves;Futterman;Journal of Geophysical Research,1962

4. Attenuation estimation by repeatedly solving the forward scattering problem;Ilyina;Journal of Applied Geophysics,2018

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