{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:47:23Z","timestamp":1776811643503,"version":"3.51.2"},"reference-count":16,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,5,13]]},"abstract":"<jats:p>Oil and gas are the resource buried in deep underground. The purpose of petroleum exploration is to delineate the sand body saturated with the oil or gas. The thickness of sand is an important property of sand layer in the reservoir research. In the oilfield of Eastern China, the thickness of sand body is usually very thin and below ten meters, so it is very hard for us to estimate the real thickness of sand body because its thickness is far less than the resolution limit of seismic wavelet in exploration. For further discussion of the problem, we probed into how to use the method of amplitude versus offset (AVO) to predict the thickness of sand body in this paper. Firstly, a set of thin sand models with different thickness are made; then, the prestack gathers of the models are simulated with the reflectivity method; after that, AVO attributes of prestack gathers are analyzed; next, the relationship between AVO attributes and the thickness of thin sand are established; finally, the relationship is used for the prestack gathers of the entire seismic data, and the thickness of thin sand of study area are estimated.<\/jats:p>","DOI":"10.3233\/jcm-225936","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T13:48:30Z","timestamp":1646747310000},"page":"833-843","source":"Crossref","is-referenced-by-count":0,"title":["Application of AVO to thickness prediction of thin sand"],"prefix":"10.66113","volume":"22","author":[{"given":"Hong","family":"Guo","sequence":"first","affiliation":[]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shien","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jinshu","family":"Wang","sequence":"additional","affiliation":[]}],"member":"55691","reference":[{"key":"10.3233\/JCM-225936_ref1","unstructured":"Al-Otaibi M. Thin-bed AVO. Ph.D Thesis, University of Houston, 2002."},{"key":"10.3233\/JCM-225936_ref2","first-page":"240","article-title":"Thin bed AVO: The Effect of NMO and NMO correction on reflectivity sequences","author":"Castoro","year":"1998","journal-title":"SEG Expanded Abstracts."},{"key":"10.3233\/JCM-225936_ref3","doi-asserted-by":"crossref","first-page":"B419","DOI":"10.1190\/geo2018-0566.1","article-title":"Amplitude variation with incident angle inversion for Q-factors in viscoelastic media: A case study","volume":"84","author":"Li","year":"2019","journal-title":"Geophysics."},{"key":"10.3233\/JCM-225936_ref4","first-page":"574","article-title":"Seismic AVO Inversion for Optimal Reservoir Modeling and Field Development, Offshore Abu Dhabi, UAE","author":"Miyamoto","year":"2019","journal-title":"SEG Global Meeting Abstracts"},{"key":"10.3233\/JCM-225936_ref5","doi-asserted-by":"crossref","first-page":"T301","DOI":"10.1190\/geo2019-0338.1","article-title":"A frequency-decomposed nonstationary convolutional model for amplitude-versus-angle-and-frequency forward waveform modeling in attenuative media","volume":"85","author":"Yang","year":"2020","journal-title":"Geophysics."},{"key":"10.3233\/JCM-225936_ref6","unstructured":"Kennett BLN. Seismic wave propagation in stratified media. Cambridge University Press, 1983."},{"key":"10.3233\/JCM-225936_ref7","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1190\/segam2020-3413168.1","article-title":"Seismic AVO statistical inversion incorporating poroelasticity","author":"Li","year":"2020","journal-title":"SEG Technical Program Expanded Abstracts"},{"key":"10.3233\/JCM-225936_ref8","unstructured":"Ma Y, Loures L, Margrave GF, Seismic modeling with the reflectivity method. CREWES Research Report. 2004; (16): pp.\u00a01-7."},{"key":"10.3233\/JCM-225936_ref9","doi-asserted-by":"crossref","unstructured":"Mallat S, Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing. 1993; (41), pp.\u00a02297-3415.","DOI":"10.1109\/78.258082"},{"issue":"10","key":"10.3233\/JCM-225936_ref10","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1190\/1.1442248","article-title":"Practical aspects of reflectivity modeling","volume":"52","author":"Mallick","year":"1987","journal-title":"Geophysics."},{"key":"10.3233\/JCM-225936_ref11","first-page":"1023","article-title":"Application of prestack AVO analysis technique in volcanic reservoir hydrocarbon detection","author":"Pei","year":"2018","journal-title":"SEG Global Meeting Abstracts"},{"key":"10.3233\/JCM-225936_ref12","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1190\/segam2020-3425401.1","article-title":"Frequency-dependent AVO analysis in fracture porous media","author":"Zhang","year":"2020","journal-title":"SEG Technical Program Expanded Abstracts"},{"key":"10.3233\/JCM-225936_ref13","doi-asserted-by":"crossref","unstructured":"Lim UY, Gibson RL Jr., Kabir N, \u0394 VP: A new seismic attribute based on Zoppritz AVO inversion for estimation of seismic anisotropy. SEG Technical Program Expanded Abstracts, 2019, pp.\u00a0363-367.","DOI":"10.1190\/segam2019-3211060.1"},{"key":"10.3233\/JCM-225936_ref14","first-page":"1163","article-title":"Prediction for high gas-saturation reservoir based on an improved frequency-dependent AVO inversion method","author":"Luo","year":"2018","journal-title":"SEG Global Meeting Abstracts."},{"key":"10.3233\/JCM-225936_ref15","first-page":"1060","article-title":"AVO influence factors exploration and case analysis","author":"Ren","year":"2018","journal-title":"SEG Global Meeting Abstracts"},{"key":"10.3233\/JCM-225936_ref16","first-page":"1541","article-title":"Thickness Prediction of Coalbed Methane Reservoirs by AVO","author":"Zhang","year":"2018","journal-title":"SEG Global Meeting Abstracts"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-225936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:48Z","timestamp":1776809208000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-225936"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,13]]},"references-count":16,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jcm-225936","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,13]]}}}