Complex Frequency Shifted Perfectly Matched Layer Boundary Conditions for Frequency-Domain Elastic Wavefield Simulations View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-19

AUTHORS

Zhencong Zhao, Jingyi Chen, Minghua Xu, Xiaobo Liu

ABSTRACT

To absorb unwanted seismic reflections caused by the truncated boundaries, various absorbing boundary conditions have been developed for seismic numerical modeling in both time and frequency domains. Among the various types of perfectly matched layer (PML) boundary conditions, complex frequency shifted PML (CFS-PML) has attracted much attention in time-domain wavefield simulations because it can better handle evanescent and grazing waves. In this paper, we extend the CFS-PML boundary condition to frequency-domain finite-difference seismic modeling, which has several advantages over time-domain modeling including the convenient implementation of multiple sources and a straightforward extension of adding attenuation factors. A comparison with an analytical solution is used to investigate the validity of the proposed CFS-PML algorithm. CFS-PML shows better absorbing behavior than the classical PML boundary condition in our model tests. We further implement CFS-PML for seismic wavefield simulations in an elongated elastic model and a complex model (Marmousi-II) with a free surface boundary condition. More... »

PAGES

1-14

References to SciGraph publications

Journal

TITLE

Pure and Applied Geophysics

ISSUE

N/A

VOLUME

N/A

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00024-019-02132-4

DOI

http://dx.doi.org/10.1007/s00024-019-02132-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112230807


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0404", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geophysics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Tulsa", 
          "id": "https://www.grid.ac/institutes/grid.267360.6", 
          "name": [
            "Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, 800 South Tucker Drive, 74104, Tulsa, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Zhencong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tulsa", 
          "id": "https://www.grid.ac/institutes/grid.267360.6", 
          "name": [
            "Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, 800 South Tucker Drive, 74104, Tulsa, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jingyi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CCDC Geological Exploration & Development Research Institute, 610041, Chengdu, Sichuan, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Minghua", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tulsa", 
          "id": "https://www.grid.ac/institutes/grid.267360.6", 
          "name": [
            "Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, 800 South Tucker Drive, 74104, Tulsa, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Xiaobo", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1071/eg13066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000808846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.2757586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001137674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/eg15068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003264285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1443918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004637702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1487073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005091347"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2004.02289.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007142429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/s0025-5718-1986-0856696-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009132238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11770-009-0029-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009213317", 
          "https://doi.org/10.1007/s11770-009-0029-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11770-009-0029-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009213317", 
          "https://doi.org/10.1007/s11770-009-0029-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1090/s0025-5718-1987-0890254-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016757230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1441689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017289795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.2939484", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019772354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2478.1990.tb01846.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020145196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1444908", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020539729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.3560019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023636071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9274(98)00025-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024436761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-08-037018-7.50013-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027075733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028133560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.3157243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028959382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1442874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031548447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2478.2011.01051.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032975132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/0120070223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034483785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1443758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035204129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1443979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036002808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.1441945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036904541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/1.2759835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038449716"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl024091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050241024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl024091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050241024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jcph.1994.1159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052535130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-2132/10/5/054003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059162189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1742-2132/8/2/012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059162771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tap.2004.827253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061495334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/geo2014-0085.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064143504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/geo2014-0103.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064143514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/geo2014-0441.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064143691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/geo2014-0480.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064143711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/jee-2017-0006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084325246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/gji/ggx273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090246741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1190/segam2014-1240.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098918306"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02-19", 
    "datePublishedReg": "2019-02-19", 
    "description": "To absorb unwanted seismic reflections caused by the truncated boundaries, various absorbing boundary conditions have been developed for seismic numerical modeling in both time and frequency domains. Among the various types of perfectly matched layer (PML) boundary conditions, complex frequency shifted PML (CFS-PML) has attracted much attention in time-domain wavefield simulations because it can better handle evanescent and grazing waves. In this paper, we extend the CFS-PML boundary condition to frequency-domain finite-difference seismic modeling, which has several advantages over time-domain modeling including the convenient implementation of multiple sources and a straightforward extension of adding attenuation factors. A comparison with an analytical solution is used to investigate the validity of the proposed CFS-PML algorithm. CFS-PML shows better absorbing behavior than the classical PML boundary condition in our model tests. We further implement CFS-PML for seismic wavefield simulations in an elongated elastic model and a complex model (Marmousi-II) with a free surface boundary condition.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00024-019-02132-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136817", 
        "issn": [
          "0033-4553", 
          "1420-9136"
        ], 
        "name": "Pure and Applied Geophysics", 
        "type": "Periodical"
      }
    ], 
    "name": "Complex Frequency Shifted Perfectly Matched Layer Boundary Conditions for Frequency-Domain Elastic Wavefield Simulations", 
    "pagination": "1-14", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f7e5c2ce84cf228cb440c978973b3ab870afbb407fcdbdaff91d007971b87602"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00024-019-02132-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112230807"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00024-019-02132-4", 
      "https://app.dimensions.ai/details/publication/pub.1112230807"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000338_0000000338/records_47963_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00024-019-02132-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02132-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02132-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02132-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-019-02132-4'


 

This table displays all metadata directly associated to this object as RDF triples.

186 TRIPLES      21 PREDICATES      61 URIs      16 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00024-019-02132-4 schema:about anzsrc-for:04
2 anzsrc-for:0404
3 schema:author Nd04c03d81d2f4eaf945ba9732eba0ab6
4 schema:citation sg:pub.10.1007/s11770-009-0029-7
5 https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a
6 https://doi.org/10.1006/jcph.1994.1159
7 https://doi.org/10.1016/b978-0-08-037018-7.50013-1
8 https://doi.org/10.1016/s0168-9274(98)00025-7
9 https://doi.org/10.1029/2005gl024091
10 https://doi.org/10.1071/eg13066
11 https://doi.org/10.1071/eg15068
12 https://doi.org/10.1088/1742-2132/10/5/054003
13 https://doi.org/10.1088/1742-2132/8/2/012
14 https://doi.org/10.1090/s0025-5718-1986-0856696-4
15 https://doi.org/10.1090/s0025-5718-1987-0890254-1
16 https://doi.org/10.1093/gji/ggx273
17 https://doi.org/10.1109/tap.2004.827253
18 https://doi.org/10.1111/j.1365-246x.2004.02289.x
19 https://doi.org/10.1111/j.1365-2478.1990.tb01846.x
20 https://doi.org/10.1111/j.1365-2478.2011.01051.x
21 https://doi.org/10.1190/1.1441689
22 https://doi.org/10.1190/1.1441945
23 https://doi.org/10.1190/1.1442874
24 https://doi.org/10.1190/1.1443758
25 https://doi.org/10.1190/1.1443918
26 https://doi.org/10.1190/1.1443979
27 https://doi.org/10.1190/1.1444908
28 https://doi.org/10.1190/1.1487073
29 https://doi.org/10.1190/1.2757586
30 https://doi.org/10.1190/1.2759835
31 https://doi.org/10.1190/1.2939484
32 https://doi.org/10.1190/1.3157243
33 https://doi.org/10.1190/1.3560019
34 https://doi.org/10.1190/geo2014-0085.1
35 https://doi.org/10.1190/geo2014-0103.1
36 https://doi.org/10.1190/geo2014-0441.1
37 https://doi.org/10.1190/geo2014-0480.1
38 https://doi.org/10.1190/segam2014-1240.1
39 https://doi.org/10.1515/jee-2017-0006
40 https://doi.org/10.1785/0120070223
41 schema:datePublished 2019-02-19
42 schema:datePublishedReg 2019-02-19
43 schema:description To absorb unwanted seismic reflections caused by the truncated boundaries, various absorbing boundary conditions have been developed for seismic numerical modeling in both time and frequency domains. Among the various types of perfectly matched layer (PML) boundary conditions, complex frequency shifted PML (CFS-PML) has attracted much attention in time-domain wavefield simulations because it can better handle evanescent and grazing waves. In this paper, we extend the CFS-PML boundary condition to frequency-domain finite-difference seismic modeling, which has several advantages over time-domain modeling including the convenient implementation of multiple sources and a straightforward extension of adding attenuation factors. A comparison with an analytical solution is used to investigate the validity of the proposed CFS-PML algorithm. CFS-PML shows better absorbing behavior than the classical PML boundary condition in our model tests. We further implement CFS-PML for seismic wavefield simulations in an elongated elastic model and a complex model (Marmousi-II) with a free surface boundary condition.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree false
47 schema:isPartOf sg:journal.1136817
48 schema:name Complex Frequency Shifted Perfectly Matched Layer Boundary Conditions for Frequency-Domain Elastic Wavefield Simulations
49 schema:pagination 1-14
50 schema:productId N498e161fa13f4195a8b00485859538d7
51 N50b7ae7803964402b7fd149b6ad6f7eb
52 N991f1e8bd7e145399a661a1f376b1d80
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112230807
54 https://doi.org/10.1007/s00024-019-02132-4
55 schema:sdDatePublished 2019-04-11T09:09
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N8872026ec5c949fe9f4a6ff93db53805
58 schema:url https://link.springer.com/10.1007%2Fs00024-019-02132-4
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N1270853fdf4e49e69165e6b3fda1657c rdf:first N32cd847333de45e7b763c8114279bd0d
63 rdf:rest N6d4b1955538d47ecb972ecc00fa767b3
64 N32cd847333de45e7b763c8114279bd0d schema:affiliation https://www.grid.ac/institutes/grid.267360.6
65 schema:familyName Chen
66 schema:givenName Jingyi
67 rdf:type schema:Person
68 N498e161fa13f4195a8b00485859538d7 schema:name doi
69 schema:value 10.1007/s00024-019-02132-4
70 rdf:type schema:PropertyValue
71 N50b7ae7803964402b7fd149b6ad6f7eb schema:name readcube_id
72 schema:value f7e5c2ce84cf228cb440c978973b3ab870afbb407fcdbdaff91d007971b87602
73 rdf:type schema:PropertyValue
74 N598510fb254f4e1eaad32769d7650388 schema:affiliation https://www.grid.ac/institutes/grid.267360.6
75 schema:familyName Zhao
76 schema:givenName Zhencong
77 rdf:type schema:Person
78 N6c237570852b4175a9496ce96c8f7730 schema:name CCDC Geological Exploration & Development Research Institute, 610041, Chengdu, Sichuan, China
79 rdf:type schema:Organization
80 N6d4b1955538d47ecb972ecc00fa767b3 rdf:first Nd8f5150d82cc421e8b867fa814789622
81 rdf:rest Nfff97b14e0724e99826926d674f36424
82 N8872026ec5c949fe9f4a6ff93db53805 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N991f1e8bd7e145399a661a1f376b1d80 schema:name dimensions_id
85 schema:value pub.1112230807
86 rdf:type schema:PropertyValue
87 Nc8f9b14d58b04ccda2e7c64341e06506 schema:affiliation https://www.grid.ac/institutes/grid.267360.6
88 schema:familyName Liu
89 schema:givenName Xiaobo
90 rdf:type schema:Person
91 Nd04c03d81d2f4eaf945ba9732eba0ab6 rdf:first N598510fb254f4e1eaad32769d7650388
92 rdf:rest N1270853fdf4e49e69165e6b3fda1657c
93 Nd8f5150d82cc421e8b867fa814789622 schema:affiliation N6c237570852b4175a9496ce96c8f7730
94 schema:familyName Xu
95 schema:givenName Minghua
96 rdf:type schema:Person
97 Nfff97b14e0724e99826926d674f36424 rdf:first Nc8f9b14d58b04ccda2e7c64341e06506
98 rdf:rest rdf:nil
99 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
100 schema:name Earth Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0404 schema:inDefinedTermSet anzsrc-for:
103 schema:name Geophysics
104 rdf:type schema:DefinedTerm
105 sg:journal.1136817 schema:issn 0033-4553
106 1420-9136
107 schema:name Pure and Applied Geophysics
108 rdf:type schema:Periodical
109 sg:pub.10.1007/s11770-009-0029-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009213317
110 https://doi.org/10.1007/s11770-009-0029-7
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1002/1098-2760(20001205)27:5<334::aid-mop14>3.0.co;2-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1028133560
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1006/jcph.1994.1159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052535130
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/b978-0-08-037018-7.50013-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027075733
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/s0168-9274(98)00025-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024436761
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1029/2005gl024091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050241024
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1071/eg13066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000808846
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1071/eg15068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003264285
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1088/1742-2132/10/5/054003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059162189
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1088/1742-2132/8/2/012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059162771
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1090/s0025-5718-1986-0856696-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009132238
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1090/s0025-5718-1987-0890254-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016757230
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1093/gji/ggx273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090246741
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/tap.2004.827253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061495334
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1111/j.1365-246x.2004.02289.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007142429
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1111/j.1365-2478.1990.tb01846.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020145196
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1111/j.1365-2478.2011.01051.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032975132
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1190/1.1441689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017289795
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1190/1.1441945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036904541
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1190/1.1442874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031548447
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1190/1.1443758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035204129
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1190/1.1443918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004637702
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1190/1.1443979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036002808
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1190/1.1444908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020539729
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1190/1.1487073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005091347
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1190/1.2757586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001137674
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1190/1.2759835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038449716
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1190/1.2939484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019772354
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1190/1.3157243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028959382
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1190/1.3560019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023636071
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1190/geo2014-0085.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064143504
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1190/geo2014-0103.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064143514
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1190/geo2014-0441.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064143691
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1190/geo2014-0480.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064143711
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1190/segam2014-1240.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098918306
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1515/jee-2017-0006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084325246
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1785/0120070223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034483785
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.267360.6 schema:alternateName University of Tulsa
185 schema:name Seismic Anisotropy Group, Department of Geosciences, The University of Tulsa, 800 South Tucker Drive, 74104, Tulsa, OK, USA
186 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...