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倾角约束稀疏表征的地震复杂波场信噪分离方法

雷刚林 王德英 段文胜 刘文卿 吴天麒 寇龙江

石油地球物理勘探2026,Vol.61Issue(3):653-669,692,18.
石油地球物理勘探2026,Vol.61Issue(3):653-669,692,18.DOI:10.13810/j.cnki.issn.1000-7210.20250321

倾角约束稀疏表征的地震复杂波场信噪分离方法

Seismic signal-to-noise separation method for complex wavefields based on dip-constrained sparse representation

雷刚林 1王德英 2段文胜 1刘文卿 3吴天麒 1寇龙江3

作者信息

  • 1. 中国石油塔里木油田公司勘探开发研究院,新疆库尔勒 841000||中国石油天然气集团超深层复杂油气藏勘探开发技术研发中心,新疆库尔勒 841000||新疆维吾尔自治区超深层复杂油气藏勘探开发工程研究中心,新疆库尔勒 841000
  • 2. 中国石油勘探开发研究院西北分院,甘肃 兰州 730020||中国石油大学(华东),山东 青岛 266580
  • 3. 中国石油勘探开发研究院西北分院,甘肃 兰州 730020
  • 折叠

摘要

Abstract

Denoising is a critical step in seismic data processing.Traditional dictionary learning methods lack constraints on the physical mechanism of signals,easily misidentifying coherent noise with linear or curvilinear features as effective signals and incorporating them into dictionary atoms,which results in distortion of effective signals or residual noise during reconstruction.To address these problems,this paper proposes a hybrid noise suppression method based on sparse basis learning with physical constraints.Firstly,the plane-wave destruction(PWD)filter is used to estimate and update the local dip field,ensuring that the dip field matches the iteratively optimized signal.Then,the local dip field estimated by PWD is taken as a constraint to guide the sparse basis learning process,which combines the signal representation ability of sparse transform with the local dip charac-teristics of effective signals.This enables dictionary atoms to match only effective signals with corresponding dip characteristics,avoiding the mislearning of coherent noise atoms.Finally,effective signals can be accurately sparsely represented on the sparse basis matching their dip characteristics,while various noises are difficult to be matched by the sparse basis due to the absence of corresponding dip characteristics.Thereby,high-fidelity effective signal reconstruction and effective suppression of multi-type noises are achieved.Tests on both complex synthetic data and field data show that the proposed method has superior suppression performance and wide appli-cability in suppressing hybrid noises such as strong abnormal amplitude interference,surface waves,random noise,and coherent noise,compared with conventional methods and industrial standard denoising workflows.

关键词

多类型噪声压制/字典学习/倾角约束/平面波解构滤波器

Key words

multiple-type noise suppression/dictionary learning/dip constraint/plane-wave destruction filter

分类

天文与地球科学

引用本文复制引用

雷刚林,王德英,段文胜,刘文卿,吴天麒,寇龙江..倾角约束稀疏表征的地震复杂波场信噪分离方法[J].石油地球物理勘探,2026,61(3):653-669,692,18.

基金项目

本项研究受塔里木油田横向项目"三维起伏地表各向异性建模及绕射波成像方法研究"(671024115004)资助. (671024115004)

石油地球物理勘探

1000-7210

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