AccScience Publishing / JSE / Volume 34 / Issue 3 / DOI: 10.36922/JSE025230010
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Reconstruction and quality control of non-repeatable land time-lapse seismic data

Yongjun Wang1 ,  Xinglei Xu1,2* ,  Xu Wang3,4
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1 Teaching and Research Office of Software Technology, School of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, Zhejiang, China
2 Department of Information Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China
3 Institute of Applied Mechanics, Faculty of Civil Engineering, RWTH Aachen University, Aachen, North Rhine-Westphalia, Germany
4 Northeast Electric Power Design Institute of China Power Engineering Consulting Group, Changchun, Jilin, China
JSE 2025 , 34(3), 76–92; https://doi.org/10.36922/JSE025230010
Submitted: 6 June 2025 | Revised: 16 August 2025 | Accepted: 3 September 2025 | Published: 16 October 2025
© 2025 by the Author(s). Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Onshore non-repeatable time-lapse (TL) seismic exploration is a challenging yet convenient technique for enhancing production in mature oil and gas fields. Data repeatability across two or more acquisition phases is fundamental for reliable TL analysis. However, differences in acquisition geometries – from variations in geological targets, acquisition technologies, and acquisition parameters – can cause significant inconsistencies between two data vintages. Drawing on survey design parameters, this study proposes a dual-constraint method for data reconstruction and quality control, integrating common midpoint (CMP) similarity with the sum of shot-receiver geometric distances. Unlike conventional techniques, the proposed approach simultaneously controls shot and receiver position errors through a dynamic threshold, indirectly preserving offset and azimuth consistency. Compared with typical methods, it avoids cross-domain transformations and multi-parameter adjustments, offering high applicability. Applied to conventional (2004) and high-density (2008) datasets from a Chinese onshore oilfield, the method achieved data utilization rates of 77.5% and 39.8%, respectively. The reconstructed data demonstrated higher offset distribution uniformity and improved CMP fold consistency compared with the CMP-constrained receiver deviation method. This study provides a practical reference for TL studies in onshore mature oilfields.

Keywords
Onshore seismic exploration
Non-repeatable time-lapse seismic data
Pre-stack data reconstruction
Funding
This work was supported by the Key Scientific Research Project (Grant No. WZY2025007) and Research Project on Teaching Development and Teaching Reform (Grant No. WZYzd202519) of Wenzhou Polytechnic, China; the Zhejiang Province Vocational Education “14th Five- Year Plan” Teaching Reform Project, China (Grant No. jg20240086); and the Wenzhou Significant Science and Technology Innovation Project, China (Grant No. ZG2022012).
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Conflict of interest
The authors declare that they have no competing interests.
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Journal of Seismic Exploration, Print ISSN: 0963-0651, Published by AccScience Publishing
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