Target-oriented waveform inversion based on Marchenko redatumed data

Author:

Lin Yuzhao1ORCID,Liu Huaishan2ORCID

Affiliation:

1. Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, College of Marine Geosciences, Ocean University of China, Qingdao, China.

2. Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, College of Marine Geoscience, Ocean University of China, Qingdao, China and Qingdao National Laboratory for Marine Science and Technology, Evaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao, China. (corresponding author)

Abstract

Target-oriented inversion (TOI) can resolve subsurface reservoir parameters based on surface waveform data. Moreover, virtual data at the datum level and a precise local forward operator are required to accurately perform inversion in the target area. The Marchenko redatuming, a state-of-the-art seismic redatuming method, is used to obtain the virtual data of the target area. Local forward operators of crosscorrelation and cross-convolution forms are used to generate the local wavefields. A subsurface-domain interferometric objective function and the corresponding inversion algorithm are developed. A simple model is used to demonstrate the accuracy of this approach. This technique is applied to the Chevron 2014 benchmark data set to invert a specific area, indicating that the method can achieve accurate high-resolution inversion results with reduced computational costs. Finally, a time-lapse inversion is performed to exhibit the practicality of the new approach in 4D seismic exploration. These numerical results demonstrate great applications of the TOI based on the redatumed data and local forward operators of crosscorrelation or convolution forms.

Funder

National Natural Science Foundation of China

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Cited by 1 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. Full Waveform Inversion of Viscoelastic Media Based on Gradient Preconditioning;IEEE Transactions on Geoscience and Remote Sensing;2023

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