Accurate interval Q-factor estimation from VSP data

Author:

Blias E.1

Affiliation:

1. VSFusion, Houston, Texas, USA..

Abstract

Inelastic attenuation, quantified by [Formula: see text], the seismic quality factor, has considerable impact on surface seismic reflection data. A new method for interval [Formula: see text]-factor estimation using near-offset VSP data was based on an objective function minimization measuring the difference between cumulative [Formula: see text] estimates and those calculated through interval [Formula: see text]. To calculate interval [Formula: see text], we used all receiver pairs that provided reasonable [Formula: see text] values. To estimate [Formula: see text] between two receiver levels, we used the equation that links amplitudes at different levels and could provide more accurate [Formula: see text] values than the spectral-ratio method. To improve interval [Formula: see text] estimates, which rely on traveltimes, we used a high-accuracy approach in the frequency domain to determine time shifts. Application of this method to real data demonstrated reasonable correspondence between [Formula: see text] estimates and log data.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Cited by 64 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. Q-factor estimation of ultra-deep rock using inversion algorithm with power spectrum centroid frequency shift;SEG 1st Tarim Ultra-Deep Oil & Gas Exploration Technology Workshop, Korla, China, June 3-5, 2024;2024-08-22

2. An improved radioactive tracer response analysis and injection profile quantification method based on intelligent algorithms;Journal of Radioanalytical and Nuclear Chemistry;2024-02-13

3. An effective Q extraction method via deep learning;Journal of Geophysics and Engineering;2024-01-27

4. Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP Data;IEEE Transactions on Geoscience and Remote Sensing;2024

5. The Kernel-Based Regression for Seismic Attenuation Estimation on Wasserstein Space;IEEE Transactions on Geoscience and Remote Sensing;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3