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Efficient and low-cost node seismic data recovery based on curvelet compression sensing

LIYUN KONG1 YUKUN TIAN2* HAO YU3 HAIHAO LIU1 HUI ZHOU1
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1 Oil & Gas Survey, China Geological Survey, Beijing 100083, China,
2 Natural Resources Comprehensive Survey Command Center, China Geological Survey, Beijing, 100055,China,
3 PetroChina Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China,
JSE 2024, 33(4), 01–21;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Owing to increasingly complex surface conditions of land seismic acquisition in petroleum exploration, conventional wired acquisition has become environmentally unfeasible, leading to the dramatic increase in exploration cost. We recover and reconstruct the acquired OBN data by the technology of compressed sensing based on curvelet transform, iterative threshold and sampling matrix according to the acquired data. As per model tests, data restoration is satisfactory in the context of complete data on both sides of missing traces and missing traces less than 6% of total traces. The threshold and curvelet scale will be defined depending on measured data. A field OBN data application with 1378 shots yields good results of missing data restoration and reconstruction. The improved event continuity and information content demonstrate the validity of compressed sensing for data restoration and reconstruction.

Keywords
compressed sensing
data restoration and reconstruction
OBN data
curvelet transform
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing