Joint waveform inversion with the separated upgoing and downgoing wavefields of VSP data

Author:

Jin Chao12ORCID,Cao Danping12,Yin Xingyao12

Affiliation:

1. School of Geosciences, China University of Petroleum (East China), 66 Changjiang West Road, Huangdao District, Qingdao 266580, China

2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, 1Wenhai Road, Jimo District, Qingdao 266071, China

Abstract

Abstract Waveform inversion of Vertical Seismic Profiling (VSP) data, including upgoing and downgoing wavefields, is a challenging technique for building an accurate model. During the inversion process, upgoing and downgoing wavefields have different contributions to the objective function due to an energy imbalance between them that may cause the upgoing field to not be used effectively. Therefore, we propose a method of joint waveform inversion with the separated upgoing and downgoing wavefields of VSP data based on the establishment of a multiobjective function without introducing weight coefficients. The separating step with direct simulation of upgoing and downgoing wavefields of VSP data by the reflectivity method simplifies the complexity of separating wavefields. Specially, the zero-offset VSP data can be obtained in the τ−p domain to reduce computational cost greatly. Establishment of a multiobjective function of the difference between upgoing and downgoing wavefields can overcome the energy imbalance problem for them. The joint inversion step with a multiobjective optimization method avoids insufficient or incomplete information from just using an upgoing or downgoing wavefield alone. Numerical tests applied on synthetic models indicate that this method has the potential to increase the accuracy of estimating the velocity and density.

Funder

National Natural Science Foundation of China

National Oil and Gas Major Projects of China

Publisher

Oxford University Press (OUP)

Subject

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

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep learning-based upgoing and downgoing wavefield separation for vertical seismic profile data;GEOPHYSICS;2023-09-05

2. Joint viscoacoustic waveform inversion with the separated upgoing and downgoing wavefields in zero‐offset vertical seismic profile data;Geophysical Prospecting;2022-11-26

3. Wavefield separation of VSP data based on deep neural network;SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021;2022-02-24

4. Joint inversion of quality factor based on upgoing and downgoing waves;Journal of Petroleum Science and Engineering;2020-11

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