Published as Journal of Applied Geophysics, 119, 99-105, (2015)

Enhancing seismic reflections using empirical mode decomposition in the flattened domain

Yangkang Chen% latex2html id marker 1319
\setcounter{footnote}{1}\fnsymbol{footnote}, Guoyin Zhang% latex2html id marker 1320
\setcounter{footnote}{2}\fnsymbol{footnote}, Shuwei Gan% latex2html id marker 1321
\setcounter{footnote}{2}\fnsymbol{footnote}, and Chenglin Zhang% latex2html id marker 1322
\setcounter{footnote}{3}\fnsymbol{footnote}
% latex2html id marker 1323
\setcounter{footnote}{1}\fnsymbol{footnote}Bureau of Economic Geology
John A. and Katherine G. Jackson School of Geosciences
The University of Texas at Austin
University Station, Box X
Austin, TX 78713-8924
Email: ykchen@utexas.edu

% latex2html id marker 1324
\setcounter{footnote}{2}\fnsymbol{footnote}State Key Laboratory of Petroleum Resources and Prospecting
China University of Petroleum
Fuxue Road 18th
Beijing, China, 102200
guoyinzh@126.com

% latex2html id marker 1325
\setcounter{footnote}{3}\fnsymbol{footnote}Exploration and Development Institute of Southwest Oil & Gasfield Company,
PetroChina oil Company
Jianshe North Road (Section 1), No. 83, Chengdu, China, 610041
zclcup@163.com

% latex2html id marker 1326
\setcounter{footnote}{4}\fnsymbol{footnote}School of Electronic and Information Engineering
Hebei University of Technology
Xiping Road No. 5340, Beichen District
Tianjin, China, 300401
zyt@hebut.edu.cn


Abstract:

Due to different reasons, the seismic reflections are not continuous even when no faults or no discontinuities exist. We propose a novel approach for enhancing the amplitude of seismic reflections and making the seismic reflections continuous. We use plane-wave flattening technique to provide horizontal events for the following empirical mode decomposition (EMD) based smoothing in the flattened domain. The inverse plane-wave flattening can be used to obtain original curved events. The plane-wave flattening process requires a precise local slope estimation, which is provided by the plane-wave destruction (PWD) algorithm. The EMD based smoothing filter is a non-parametric and adaptive filter, thus can be conveniently used. Both pre-stack and post-stack field data examples show tremendous improvement for the data quality, which makes the following interpretation easier and more reliable.




2020-07-18