Ontology type: schema:ScholarlyArticle
2019-01
AUTHORSXiaobo Liu, Jingyi Chen, Fuping Liu, Anling Wang, Zhencong Zhao
ABSTRACTThe analysis of amplitude variation with offset (AVO) plays a significant role in fluid detection and lithology discrimination in hydrocarbon reservoirs. The Zoeppritz equations are part of the basic theory of AVO analysis which describes the relationship between seismic reflection and transmission coefficients and elastic rock properties (e.g., P- and S-wave velocities and density). Currently, most AVO inversion methods are based on approximations of the exact Zoeppritz equations, which not only limit the accuracy of AVO inversion, but also restrict its application to wide-angle seismic reflection data. In addition, the most difficult part of linear AVO inversion obtaining an accurate Jacobian matrix (partial derivatives of reflection coefficients with respect to inverted parameters). Based on our previous study on the accurate gradient calculation of seismic reflection coefficients for the inversion of rock properties, we further combine the exact Zoeppritz equations with Biot–Gassmann equations to compute the gradients of seismic reflection coefficients with solid density and reservoir properties (e.g., porosity, water/gas/oil saturations) in porous media. In this paper, the partial derivative expressions of the Zoeppritz matrix elements with respect to solid density and reservoir properties are simplified to simple algebraic equations, which are readily calculated. By comparing reflection coefficients and partial derivative curves with those obtained by classic Shuey and Aki–Richards approximations, we show that our proposed method can be used to accurately obtain reservoir properties in AVO inversion. More... »
PAGES1-19
http://scigraph.springernature.com/pub.10.1007/s00024-018-1969-8
DOIhttp://dx.doi.org/10.1007/s00024-018-1969-8
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1106131171
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/2008/0914",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Resources Engineering and Extractive Metallurgy",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"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, 74104-9700, Tulsa, OK, USA"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Xiaobo",
"id": "sg:person.012151566220.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012151566220.70"
],
"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, 74104-9700, Tulsa, OK, USA"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "Jingyi",
"id": "sg:person.011237255317.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011237255317.30"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Beijing Institute of Graphic Communication",
"id": "https://www.grid.ac/institutes/grid.443253.7",
"name": [
"Beijing Institute of Graphic Communication, 102600, Beijing, China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Fuping",
"id": "sg:person.014721337701.68",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014721337701.68"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Beijing Institute of Graphic Communication",
"id": "https://www.grid.ac/institutes/grid.443253.7",
"name": [
"Beijing Institute of Graphic Communication, 102600, Beijing, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Anling",
"id": "sg:person.016223344663.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016223344663.76"
],
"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, 74104-9700, Tulsa, OK, USA"
],
"type": "Organization"
},
"familyName": "Zhao",
"givenName": "Zhencong",
"id": "sg:person.016532431220.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016532431220.36"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1190/1.1444698",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001576343"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10712-011-9149-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006831974",
"https://doi.org/10.1007/s10712-011-9149-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11430-010-4124-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008352893",
"https://doi.org/10.1007/s11430-010-4124-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2011-0417.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008944708"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1441571",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012086248"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1543192",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012375606"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2478.1992.tb00538.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012515613"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1443682",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012987335"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.2358494",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017222534"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1443908",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023940091"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1543206",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026269450"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tecto.2004.10.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026275673"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1441936",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026708400"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1440625",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027509483"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11770-006-0015-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028543362",
"https://doi.org/10.1007/s11770-006-0015-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1437718",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033280861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2478.1961.tb01670.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034832353"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2010-0079.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035569271"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1443207",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036049695"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.3555082",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036150059"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1512786",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040968773"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.3467825",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045091509"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11430-012-4488-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049797115",
"https://doi.org/10.1007/s11430-012-4488-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1527083",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053060729"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.1712886",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057780619"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1063/1.1728759",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057795259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1121/1.1918315",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062282334"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2013-0372.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064143390"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2014-0490.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064143717"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2014-0582.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064143766"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2016-0088.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064144227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/tle34091036.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064147871"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.9781560801993",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095986196"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/segam2012-0160.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1096361559"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/1.1885795",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1096774338"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1190/geo2016-0516.1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099777745"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-01",
"datePublishedReg": "2019-01-01",
"description": "The analysis of amplitude variation with offset (AVO) plays a significant role in fluid detection and lithology discrimination in hydrocarbon reservoirs. The Zoeppritz equations are part of the basic theory of AVO analysis which describes the relationship between seismic reflection and transmission coefficients and elastic rock properties (e.g., P- and S-wave velocities and density). Currently, most AVO inversion methods are based on approximations of the exact Zoeppritz equations, which not only limit the accuracy of AVO inversion, but also restrict its application to wide-angle seismic reflection data. In addition, the most difficult part of linear AVO inversion obtaining an accurate Jacobian matrix (partial derivatives of reflection coefficients with respect to inverted parameters). Based on our previous study on the accurate gradient calculation of seismic reflection coefficients for the inversion of rock properties, we further combine the exact Zoeppritz equations with Biot\u2013Gassmann equations to compute the gradients of seismic reflection coefficients with solid density and reservoir properties (e.g., porosity, water/gas/oil saturations) in porous media. In this paper, the partial derivative expressions of the Zoeppritz matrix elements with respect to solid density and reservoir properties are simplified to simple algebraic equations, which are readily calculated. By comparing reflection coefficients and partial derivative curves with those obtained by classic Shuey and Aki\u2013Richards approximations, we show that our proposed method can be used to accurately obtain reservoir properties in AVO inversion.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00024-018-1969-8",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136817",
"issn": [
"0033-4553",
"1420-9136"
],
"name": "Pure and Applied Geophysics",
"type": "Periodical"
}
],
"name": "Accurate Jacobian Matrix Using the Exact Zoeppritz Equations and Effects on the Inversion of Reservoir Properties in Porous Media",
"pagination": "1-19",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"f9dc5d7685573a3758c72309d3f6bf7dd1151d24a5edf35eb87e2f2fdbb1a8cf"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00024-018-1969-8"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1106131171"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00024-018-1969-8",
"https://app.dimensions.ai/details/publication/pub.1106131171"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:05",
"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/v90/0000000001_0000000264/records_8678_00000494.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s00024-018-1969-8"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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/s00024-018-1969-8'
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/s00024-018-1969-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00024-018-1969-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00024-018-1969-8'
This table displays all metadata directly associated to this object as RDF triples.
198 TRIPLES
21 PREDICATES
61 URIs
17 LITERALS
5 BLANK NODES