<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JSE</journal-id><journal-title-group><journal-title>Journal of Seismic Exploration</journal-title></journal-title-group><issn>0963-0651</issn><eissn/><publisher><publisher-name>AccScience Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi"/><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Scattered energy inversion of seismic data</title><url>https://geophysical-press.com/journal/JSE/articles/328</url><author>YOOJEWOO,HAWANSOO,SHINCHANGSOO,MINDONG-JOO</author><pub-date pub-type="publication-year"><year>2013</year></pub-date><volume>22</volume><issue>2</issue><history><date date-type="pub"><published-time>2013-05-01</published-time></date></history><abstract>Yoo, J., Ha, W., Shin, C. and Min, D.-J., 2013. Scattered energy inversion of seismic data. Journal of Seismic Exploration, 22: 183-208. We propose a new algorithm to build a macro-velocity model using scattered energy from a seismic signal. This method does not require an iterative procedure or an estimation of the source wavelet. Consequently, it is an inexpensive and efficient method to delineate a macro-velocity model. We acquire information concerning the velocity differences similar to a gravity or magnetic field and build a macro-velocity model. Thus, subsequent inversion in the time or frequency domains can recover structures with sharp velocity variations from the constructed velocity model as an initial velocity model.</abstract><keywords>scattering energy, velocity anomaly, Born theory, gravity inversion</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Billette, F.J. and Brandsberg-Dhal, S., 2005. The 2004 BP Velocity Benchmark. Extended Abstr.,67th EAGE Conf., Madrid: B035.Chapman, C.H. and Pratt, R.G., 1992. Traveltime tomography in anisotropic media - I. Theory.Geophys. J. Internat., 109: 1-19.Geldart, L.P. and Sheriff, R.E., 2004. Problems in Exploration Seismology and their Solutions.SEG, Tulsa, OK. ISBN 1560801158.Guspi, F., 1993. Noniterative nonlinear gravity inversion. Geophysics, 58: 935-940.Ikelle, L.T. and Amundsen, L., 2005. Introduction to Petroleum Seismology. SEG, Tulsa, OK.ISBN 1560801298.Kuvshinov, B.N. and Mulder, W.A., 2006. The exact solution of the time-harmonic wave equationfor a linear velocity profile. Geophys. J. Internat., 167: 659-662.Last, B.J. and Kubik, K., 1983. Compact gravity inversion. Geophysics, 48: 713-721.Luo, Y. and Schuster, G.T. 1991. Wave-equation traveltime inversion. Geophysics 56, 645-653.Mitra, S.K. 2005. Digital signal processing: A computer-based approach. McGraw-Hill College.ISBN 0073048372Shin, C. and Cha, Y.H., 2008. Waveform inversion in the Laplace domain. Geophys. J. Internat.,173: 922-931.Shin, C. and Ha, W., 2008. A comparison between the behavior of objective functions for waveforminversion in the frequency and Laplace domains. Geophysics, 73: VE119-VE133.Stoughton, D., Stefani, J. and Michell, S., 2001. 2D elastic model for wavefield investigations ofsubsalt objectives, deep water Gulf of Mexico. Expanded Abstr., 71st Ann. Internat. SEGMtg., San Antonio: 1269-1272.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
