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Modeling shales and marls reflections by autoregression method

Seismic modeling is pervasive in exploring the subsurface structure. The propagation of elastic waves in homogenous medium has to be modeled to create synthetic seismograms. A numerical solution of partial differential equations describes the propagation phenomenon in elastic medium under the initia...

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Main Authors: Malik, U., Ching, D.L.C., Daud, H., Januarisma, V.
Format: Conference or Workshop Item
Published: American Institute of Physics Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005950686&doi=10.1063%2f1.4968165&partnerID=40&md5=d714c27ac5d29a4124af09e355edb3c1
http://eprints.utp.edu.my/30668/
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spelling my.utp.eprints.306682022-03-25T07:14:01Z Modeling shales and marls reflections by autoregression method Malik, U. Ching, D.L.C. Daud, H. Januarisma, V. Seismic modeling is pervasive in exploring the subsurface structure. The propagation of elastic waves in homogenous medium has to be modeled to create synthetic seismograms. A numerical solution of partial differential equations describes the propagation phenomenon in elastic medium under the initial and boundary condition that is Clayton Engquist (CE). The subsurface discontinuities like fractures effect the seismic reflections that are used for subsurface imaging. A fractured velocity model with shales and marls sedimentary rocks is built and common depth point (CDP) seismograms with single shot are preprocessed by automatic gain control. The subsurface reflections are modeled by using the first-order autoregressive (AR(1)) model. A comparison of synthetic and real data AR model is made on the basis of average reflectivity, R2 and means square error (MSE). The real data has smaller average reflectivity, -1.80e-10, 93.966 explained variation i.e. R2 and 1.71e-07 minimum MSE. © 2016 Author(s). American Institute of Physics Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005950686&doi=10.1063%2f1.4968165&partnerID=40&md5=d714c27ac5d29a4124af09e355edb3c1 Malik, U. and Ching, D.L.C. and Daud, H. and Januarisma, V. (2016) Modeling shales and marls reflections by autoregression method. In: UNSPECIFIED. http://eprints.utp.edu.my/30668/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Seismic modeling is pervasive in exploring the subsurface structure. The propagation of elastic waves in homogenous medium has to be modeled to create synthetic seismograms. A numerical solution of partial differential equations describes the propagation phenomenon in elastic medium under the initial and boundary condition that is Clayton Engquist (CE). The subsurface discontinuities like fractures effect the seismic reflections that are used for subsurface imaging. A fractured velocity model with shales and marls sedimentary rocks is built and common depth point (CDP) seismograms with single shot are preprocessed by automatic gain control. The subsurface reflections are modeled by using the first-order autoregressive (AR(1)) model. A comparison of synthetic and real data AR model is made on the basis of average reflectivity, R2 and means square error (MSE). The real data has smaller average reflectivity, -1.80e-10, 93.966 explained variation i.e. R2 and 1.71e-07 minimum MSE. © 2016 Author(s).
format Conference or Workshop Item
author Malik, U.
Ching, D.L.C.
Daud, H.
Januarisma, V.
spellingShingle Malik, U.
Ching, D.L.C.
Daud, H.
Januarisma, V.
Modeling shales and marls reflections by autoregression method
author_facet Malik, U.
Ching, D.L.C.
Daud, H.
Januarisma, V.
author_sort Malik, U.
title Modeling shales and marls reflections by autoregression method
title_short Modeling shales and marls reflections by autoregression method
title_full Modeling shales and marls reflections by autoregression method
title_fullStr Modeling shales and marls reflections by autoregression method
title_full_unstemmed Modeling shales and marls reflections by autoregression method
title_sort modeling shales and marls reflections by autoregression method
publisher American Institute of Physics Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005950686&doi=10.1063%2f1.4968165&partnerID=40&md5=d714c27ac5d29a4124af09e355edb3c1
http://eprints.utp.edu.my/30668/
_version_ 1738657139829768192
score 13.211869

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