<?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>Time-lapse full-waveform inversion for elastic TTI media</title><url>https://geophysical-press.com/journal/JSE/articles/8</url><author>LIUYANHUA,TSVANKINILYA</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>33</volume><issue>4</issue><history><date date-type="pub"><published-time>2024-08-01</published-time></date></history><abstract>Time-lapse (4D) full-waveform inversion (FWI) of seismic data can help estimate the sub-surface changes due to hydrocarbon production and CO2 injection. Previously, we have developed a 4D FWI methodology for VTI (transversely isotropic with a vertical symmetry axis) media. However, the VTI algorithm fails to accurately reconstruct the 4D variations in the presence of dipping anisotropic layers that often cause a tilt of the symmetry axis. Here, we extend time-lapse FWI to 2D TI media with a tilted symmetry axis (TTI). The symmetry axis is assumed to be orthogonal to the reflectors, so its orientation can be es- timated from migrated depth images. The proposed algorithm is tested on the BP TTI model using three different time-lapse strategies. If the 4D data are repeatable, the param- eter changes can be reconstructed with sufficient accuracy even in the presence of moderate noise. We incorporate the “source-independent” FWI technique to mitigate the influence of errors in the estimated source wavelet and address the wavelet nonrepeatability in time- lapse data. In addition, we discuss the influence of several common nonrepeatability issues on the time-lapse inversion results. Testing on the BP model shows that the parallel- difference time-lapse method is more sensitive to nonrepeatability-related problems than the other employed 4D strategies.</abstract><keywords>Waveform inversion, Seismic anisotropy, Inverse theory</keywords></article-meta></front><body/><back><ref-list/></back></article>
