Item talk:Q271173
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70210391", "url": "https://pubs.usgs.gov/publication/70210391" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70210391 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1190/geo2017-0742.1", "url": "https://doi.org/10.1190/geo2017-0742.1" } ], "journal": { "@type": "Periodical", "name": "Geophysics", "volumeNumber": "5", "issueNumber": "83" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Geophysics" } ], "datePublished": "2018", "dateModified": "2020-06-02", "abstract": "We have explored ways to integrate alternative geologic interpretations into the modeling of gravity data. These methods are applied to the Vaca Fault east of Fairfield, California, USA, where the structure across the fault is in question, and the Vaca Fault is used as a case study to demonstrate the method. The Vaca Fault is modeled using gravity data collected along a 10 km line perpendicular to the strike of the fault. Of particular interest is how the gravity data might inform on the dip of the Vaca Fault and thickness of the nonmarine section and whether spatial autocorrelation of density internal to the geologic units significantly influences the resulting gravity anomaly. We approach these questions by creating a suite of structural geologic models, which we then populate with geostatistically generated densities and from which the respective synthetic gravity anomalies are calculated. We perform distance-based generalized sensitivity analysis to identify which model inputs most leverage the calculated gravity anomaly. We then use multidimensional scaling to transform the gravity anomalies into a metric space and estimate the posterior probabilities of each structural geologic model using a Bayesian approach. We find that the gravity anomalies are particularly sensitive to zones of autocorrelated density values generated from geostatistical modeling. The structural geologic models most likely to produce gravity anomalies that match the observed data are the moderately dipping normal faults, 45\u00b0 and 60\u00b0, although the probability that the fault dips more steeply, including in a strike slip or reverse fault orientation, is approximately 30%. The probability of a thicker nonmarine unit is 67%, more probable than a thinner nonmarine unit. This suggests that the Vaca Fault dips moderately to the east and truncates a thicker nonmarine unit, but that any further process modeling should include alternatives of the geologic structures.", "description": "14 p.", "publisher": { "@type": "Organization", "name": "Society of Exploration Geophysicists" }, "author": [ { "@type": "Person", "name": "Phelps, Geoffrey gphelps@usgs.gov", "givenName": "Geoffrey", "familyName": "Phelps", "email": "gphelps@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-1958-2736", "url": "https://orcid.org/0000-0003-1958-2736" }, "affiliation": [ { "@type": "Organization", "name": "Geology, Minerals, Energy, and Geophysics Science Center", "url": "https://www.usgs.gov/centers/gmeg" } ] }, { "@type": "Person", "name": "Scheidt, Celine", "givenName": "Celine", "familyName": "Scheidt", "affiliation": [ { "@type": "Organization", "name": "Stanford Center for Reservoir Forecasting" } ] }, { "@type": "Person", "name": "Caers, Jef", "givenName": "Jef", "familyName": "Caers", "affiliation": [ { "@type": "Organization", "name": "Dept of Geological Sciences Stanford University" } ] } ], "funder": [ { "@type": "Organization", "name": "Geology, Minerals, Energy, and Geophysics Science Center", "url": "https://www.usgs.gov/centers/gmeg" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "California" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": {}, "geometry": { "type": "Polygon", "coordinates": [ [ [ -123.98071289062499, 36.721273880045004 ], [ -118.3447265625, 36.721273880045004 ], [ -118.3447265625, 39.791654835253425 ], [ -123.98071289062499, 39.791654835253425 ], [ -123.98071289062499, 36.721273880045004 ] ] ] } } ] } } }, { "@type": "GeoCoordinates", "latitude": 38.256464357649214, "longitude": -121.16271972656249 } ] } ] }, "OpenAlex": { "_id": "https://openalex.org/w2807831226", "abstract_inverted_index": { "ABSTRACT": [ 0 ], "We": [ 1, 113, 143, 160, 188 ], "have": [ 2 ], "explored": [ 3 ], "ways": [ 4 ], "to": [ 5, 20, 48, 67, 103, 149, 165, 197, 213, 276 ], "integrate": [ 6 ], "alternative": [ 7 ], "geologic": [ 8, 105, 123, 182, 209, 296 ], "interpretations": [ 9 ], "into": [ 10, 170 ], "the": [ 11, 21, 30, 33, 39, 50, 68, 71, 78, 84, 87, 93, 104, 109, 136, 156, 167, 176, 191, 219, 223, 232, 235, 271, 277, 295 ], "modeling": [ 12, 290 ], "of": [ 13, 25, 70, 86, 92, 100, 121, 179, 199, 254, 294 ], "gravity": [ 14, 58, 79, 111, 139, 158, 168, 192, 215 ], "data.": [ 15 ], "These": [ 16 ], "methods": [ 17 ], "are": [ 18, 141, 194, 222 ], "applied": [ 19 ], "Vaca": [ 22, 40, 53, 88, 272 ], "Fault": [ 23, 41, 54, 89, 273 ], "east": [ 24, 278 ], "Fairfield,": [ 26 ], "California,": [ 27 ], "USA,": [ 28 ], "where": [ 29 ], "structure": [ 31 ], "across": [ 32 ], "fault": [ 34, 236, 247 ], "is": [ 35, 42, 55, 76, 249, 259 ], "in": [ 36, 241 ], "question,": [ 37 ], "and": [ 38, 90, 96, 133, 174, 229, 279 ], "used": [ 43 ], "as": [ 44 ], "a": [ 45, 62, 119, 171, 185, 242, 255, 264, 281 ], "case": [ 46 ], "study": [ 47 ], "demonstrate": [ 49 ], "method.": [ 51 ], "The": [ 52, 207, 252 ], "modeled": [ 56 ], "using": [ 57, 184 ], "data": [ 59, 80, 221 ], "collected": [ 60 ], "along": [ 61 ], "10": [ 63 ], "km": [ 64 ], "line": [ 65 ], "perpendicular": [ 66 ], "strike": [ 69, 243 ], "fault.": [ 72 ], "Of": [ 73 ], "particular": [ 74 ], "interest": [ 75 ], "how": [ 77 ], "might": [ 81 ], "inform": [ 82 ], "on": [ 83 ], "dip": [ 85 ], "thickness": [ 91 ], "nonmarine": [ 94, 257, 266, 283 ], "section": [ 95 ], "whether": [ 97 ], "spatial": [ 98 ], "autocorrelation": [ 99 ], "density": [ 101, 201 ], "internal": [ 102 ], "units": [ 106 ], "significantly": [ 107 ], "influences": [ 108 ], "resulting": [ 110 ], "anomaly.": [ 112, 159 ], "approach": [ 114 ], "these": [ 115 ], "questions": [ 116 ], "by": [ 117 ], "creating": [ 118 ], "suite": [ 120 ], "structural": [ 122, 181, 208 ], "models,": [ 124 ], "which": [ 125, 135, 151 ], "we": [ 126 ], "then": [ 127, 161 ], "populate": [ 128 ], "with": [ 129 ], "geostatistically": [ 130 ], "generated": [ 131, 203 ], "densities": [ 132 ], "from": [ 134, 204 ], "respective": [ 137 ], "synthetic": [ 138 ], "anomalies": [ 140, 169, 193, 216 ], "calculated.": [ 142 ], "perform": [ 144 ], "distance-based": [ 145 ], "generalized": [ 146 ], "sensitivity": [ 147 ], "analysis": [ 148 ], "identify": [ 150 ], "model": [ 152, 183 ], "inputs": [ 153 ], "most": [ 154, 211 ], "leverage": [ 155 ], "calculated": [ 157 ], "use": [ 162 ], "multidimensional": [ 163 ], "scaling": [ 164 ], "transform": [ 166 ], "metric": [ 172 ], "space": [ 173 ], "estimate": [ 175 ], "posterior": [ 177 ], "probabilities": [ 178 ], "each": [ 180 ], "Bayesian": [ 186 ], "approach.": [ 187 ], "find": [ 189 ], "that": [ 190, 217, 234, 270, 286 ], "particularly": [ 195 ], "sensitive": [ 196 ], "zones": [ 198 ], "autocorrelated": [ 200 ], "values": [ 202 ], "geostatistical": [ 205 ], "modeling.": [ 206 ], "models": [ 210 ], "likely": [ 212 ], "produce": [ 214 ], "match": [ 218 ], "observed": [ 220 ], "moderately": [ 224, 275 ], "dipping": [ 225 ], "normal": [ 226 ], "faults,": [ 227 ], "45\u00b0": [ 228 ], "60\u00b0,": [ 230 ], "although": [ 231 ], "probability": [ 233, 253 ], "dips": [ 237, 274 ], "more": [ 238, 261 ], "steeply,": [ 239 ], "including": [ 240 ], "slip": [ 244 ], "or": [ 245 ], "reverse": [ 246 ], "orientation,": [ 248 ], "approximately": [ 250 ], "30%.": [ 251 ], "thicker": [ 256, 282 ], "unit": [ 258 ], "67%,": [ 260 ], "probable": [ 262 ], "than": [ 263 ], "thinner": [ 265 ], "unit.": [ 267 ], "This": [ 268 ], "suggests": [ 269 ], "truncates": [ 280 ], "unit,": [ 284 ], "but": [ 285 ], "any": [ 287 ], "further": [ 288 ], "process": [ 289 ], "should": [ 291 ], "include": [ 292 ], "alternatives": [ 293 ], "structures.": [ 297 ] }, "apc_list": null, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5078622112", "display_name": "Geoffrey A. Phelps", "orcid": "https://orcid.org/0000-0003-1958-2736" }, "institutions": [ { "id": "https://openalex.org/I1286329397", "display_name": "United States Geological Survey", "ror": "https://ror.org/035a68863", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Geoff Phelps", "raw_affiliation_strings": [ "U.S. Geological Survey, Menlo Park, California, USA.." ], "affiliations": [ { "raw_affiliation_string": "U.S. Geological Survey, Menlo Park, California, USA..", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5028020443", "display_name": "C\u00e9line Scheidt", "orcid": "https://orcid.org/0000-0003-3643-0726" }, "institutions": [ { "id": "https://openalex.org/I97018004", "display_name": "Stanford University", "ror": "https://ror.org/00f54p054", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I97018004" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Celine Scheidt", "raw_affiliation_strings": [ "Stanford University, Department of Energy Resources Engineering, Stanford, California, USA.." ], "affiliations": [ { "raw_affiliation_string": "Stanford University, Department of Energy Resources Engineering, Stanford, California, USA..", "institution_ids": [ "https://openalex.org/I97018004" ] } ] }, { "author_position": "last", "author": { "id": "https://openalex.org/A5001828028", "display_name": "Jef Caers", "orcid": "https://orcid.org/0000-0003-0262-9905" }, "institutions": [ { "id": "https://openalex.org/I97018004", "display_name": "Stanford University", "ror": "https://ror.org/00f54p054", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I97018004" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Jef Caers", "raw_affiliation_strings": [ "Stanford University, Department of Geological Sciences, Stanford, California, USA.." ], "affiliations": [ { "raw_affiliation_string": "Stanford University, Department of Geological Sciences, Stanford, California, USA..", "institution_ids": [ "https://openalex.org/I97018004" ] } ] } ], "best_oa_location": null, "biblio": { "volume": "83", "issue": "5", "first_page": "G79", "last_page": "G92" }, "citation_normalized_percentile": { "value": 0.726846, "is_in_top_1_percent": false, "is_in_top_10_percent": false }, "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2807831226", "cited_by_count": 7, "cited_by_percentile_year": { "min": 83, "max": 84 }, "concepts": [ { "id": "https://openalex.org/C127313418", "wikidata": "https://www.wikidata.org/wiki/Q1069", "display_name": "Geology", "level": 0, "score": 0.7248672 }, { "id": "https://openalex.org/C96342900", "wikidata": "https://www.wikidata.org/wiki/Q1413914", "display_name": "Gravity anomaly", "level": 3, "score": 0.5737838 }, { "id": "https://openalex.org/C175551986", "wikidata": "https://www.wikidata.org/wiki/Q47089", "display_name": "Fault (geology)", "level": 2, "score": 0.5227966 }, { "id": "https://openalex.org/C151213697", "wikidata": "https://www.wikidata.org/wiki/Q3618213", "display_name": "Free-air gravity anomaly", "level": 5, "score": 0.5126228 }, { "id": "https://openalex.org/C71134354", "wikidata": "https://www.wikidata.org/wiki/Q458825", "display_name": "Kernel density estimation", "level": 3, "score": 0.50463617 }, { "id": "https://openalex.org/C13280743", "wikidata": "https://www.wikidata.org/wiki/Q131089", "display_name": "Geodesy", "level": 1, "score": 0.46854222 }, { "id": "https://openalex.org/C87889798", "wikidata": "https://www.wikidata.org/wiki/Q1543986", "display_name": "Gravity model of trade", "level": 2, "score": 0.43875256 }, { "id": "https://openalex.org/C21200559", "wikidata": "https://www.wikidata.org/wiki/Q7451068", "display_name": "Sensitivity (control systems)", "level": 2, "score": 0.41515747 }, { "id": "https://openalex.org/C165205528", "wikidata": "https://www.wikidata.org/wiki/Q83371", "display_name": "Seismology", "level": 1, "score": 0.3705759 }, { "id": "https://openalex.org/C105795698", "wikidata": "https://www.wikidata.org/wiki/Q12483", "display_name": "Statistics", "level": 1, "score": 0.18307543 }, { "id": "https://openalex.org/C56859440", "wikidata": "https://www.wikidata.org/wiki/Q749598", "display_name": "Bouguer anomaly", "level": 4, "score": 0.18200415 }, { "id": "https://openalex.org/C33923547", "wikidata": "https://www.wikidata.org/wiki/Q395", "display_name": "Mathematics", "level": 0, "score": 0.1514624 }, { "id": "https://openalex.org/C127413603", "wikidata": "https://www.wikidata.org/wiki/Q11023", "display_name": "Engineering", "level": 0, "score": 0.09442344 }, { "id": "https://openalex.org/C151730666", "wikidata": "https://www.wikidata.org/wiki/Q7205", "display_name": "Paleontology", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C185429906", "wikidata": "https://www.wikidata.org/wiki/Q1130160", "display_name": "Estimator", "level": 2, "score": 0.0 }, { "id": "https://openalex.org/C24326235", "wikidata": "https://www.wikidata.org/wiki/Q126095", "display_name": "Electronic engineering", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C2776364302", "wikidata": "https://www.wikidata.org/wiki/Q1845437", "display_name": "Oil field", "level": 2, "score": 0.0 }, { "id": "https://openalex.org/C155202549", "wikidata": "https://www.wikidata.org/wiki/Q178803", "display_name": "International trade", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C144133560", "wikidata": "https://www.wikidata.org/wiki/Q4830453", "display_name": "Business", "level": 0, "score": 0.0 } ], "corresponding_author_ids": [], "corresponding_institution_ids": [], "countries_distinct_count": 1, "counts_by_year": [ { "year": 2022, "cited_by_count": 1 }, { "year": 2021, "cited_by_count": 2 }, { "year": 2020, "cited_by_count": 1 }, { "year": 2019, "cited_by_count": 2 }, { "year": 2018, "cited_by_count": 1 } ], "created_date": "2018-06-21", "datasets": [], "display_name": "Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods", "doi": "https://doi.org/10.1190/geo2017-0742.1", "fulltext_origin": "ngrams", "fwci": 0.73, "grants": [], "has_fulltext": true, "id": "https://openalex.org/W2807831226", "ids": { "openalex": "https://openalex.org/W2807831226", "doi": "https://doi.org/10.1190/geo2017-0742.1", "mag": "2807831226" }, "indexed_in": [ "crossref" ], "institutions_distinct_count": 2, "is_paratext": false, "is_retracted": false, "keywords": [ { "id": "https://openalex.org/keywords/terrain-analysis", "display_name": "Terrain Analysis", "score": 0.536112 }, { "id": "https://openalex.org/keywords/uncertainty-quantification", "display_name": "Uncertainty Quantification", "score": 0.516689 }, { "id": "https://openalex.org/keywords/free-air-gravity-anomaly", "display_name": "Free-air gravity anomaly", "score": 0.5126228 }, { "id": "https://openalex.org/keywords/kernel-density-estimation", "display_name": "Kernel density estimation", "score": 0.50463617 } ], "language": "en", "locations": [ { "is_oa": false, "landing_page_url": "https://doi.org/10.1190/geo2017-0742.1", "pdf_url": null, "source": { "id": "https://openalex.org/S106174089", "display_name": "Geophysics", "issn_l": "0016-8033", "issn": [ "0016-8033", "1942-2156" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310316678", "host_organization_name": "Society of Exploration Geophysicists", "host_organization_lineage": [ "https://openalex.org/P4310316678" ], "host_organization_lineage_names": [ "Society of Exploration Geophysicists" ], "type": "journal" }, "license": null, "license_id": null, "version": null, "is_accepted": false, "is_published": false } ], "locations_count": 1, "mesh": [], "ngrams_url": "https://api.openalex.org/works/W2807831226/ngrams", "open_access": { "is_oa": false, "oa_status": "closed", "oa_url": null, "any_repository_has_fulltext": false }, "primary_location": { "is_oa": false, "landing_page_url": "https://doi.org/10.1190/geo2017-0742.1", "pdf_url": null, "source": { "id": "https://openalex.org/S106174089", "display_name": "Geophysics", "issn_l": "0016-8033", "issn": [ "0016-8033", "1942-2156" ], "is_oa": false, "is_in_doaj": false, "is_core": true, "host_organization": "https://openalex.org/P4310316678", "host_organization_name": "Society of Exploration Geophysicists", "host_organization_lineage": [ "https://openalex.org/P4310316678" ], "host_organization_lineage_names": [ "Society of Exploration Geophysicists" ], "type": "journal" }, "license": null, "license_id": null, "version": null, "is_accepted": false, "is_published": false }, "primary_topic": { "id": "https://openalex.org/T10770", "display_name": "Digital Soil Mapping Techniques", "score": 0.9984, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, "publication_date": "2018-09-01", "publication_year": 2018, "referenced_works": [ "https://openalex.org/W100464641", "https://openalex.org/W1024059731", "https://openalex.org/W1488719929", "https://openalex.org/W1537810918", "https://openalex.org/W1540265869", "https://openalex.org/W1574356137", "https://openalex.org/W1587559447", "https://openalex.org/W1624012152", "https://openalex.org/W1875418078", "https://openalex.org/W1987971958", "https://openalex.org/W1989411673", "https://openalex.org/W1990517717", "https://openalex.org/W1993436046", "https://openalex.org/W1993614951", "https://openalex.org/W1995337944", "https://openalex.org/W1998160957", "https://openalex.org/W2008933362", "https://openalex.org/W2029302045", "https://openalex.org/W2034017717", "https://openalex.org/W2035334832", "https://openalex.org/W2040728587", "https://openalex.org/W2050947749", "https://openalex.org/W2072792249", "https://openalex.org/W2088433334", "https://openalex.org/W2104879404", "https://openalex.org/W2105080966", "https://openalex.org/W2127412495", "https://openalex.org/W2129971495", "https://openalex.org/W2138749001", "https://openalex.org/W2140095548", "https://openalex.org/W2145759202", "https://openalex.org/W2154858206", "https://openalex.org/W2495166572", "https://openalex.org/W2512297284", "https://openalex.org/W2810963991", "https://openalex.org/W3017124251", "https://openalex.org/W3099839986", "https://openalex.org/W3138949179", "https://openalex.org/W406195386", "https://openalex.org/W4205380271", "https://openalex.org/W4238081577", "https://openalex.org/W4285719527", "https://openalex.org/W4388284198", "https://openalex.org/W79388949" ], "referenced_works_count": 44, "related_works": [ "https://openalex.org/W4244736480", "https://openalex.org/W2607350145", "https://openalex.org/W2371965248", "https://openalex.org/W2263137200", "https://openalex.org/W2158136626", "https://openalex.org/W2112005109", "https://openalex.org/W2081552166", "https://openalex.org/W2028430290", "https://openalex.org/W1997565125", "https://openalex.org/W1987616603" ], "sustainable_development_goals": [ { "score": 0.5, "id": "https://metadata.un.org/sdg/14", "display_name": "Life below water" } ], "title": "Exploring viable geologic interpretations of gravity models using distance-based global sensitivity analysis and kernel methods", "topics": [ { "id": "https://openalex.org/T10770", "display_name": "Digital Soil Mapping Techniques", "score": 0.9984, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10572", "display_name": "Geophysical Exploration and Monitoring Techniques", "score": 0.998, "subfield": { "id": "https://openalex.org/subfields/1908", "display_name": "Geophysics" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11801", "display_name": "Advanced Techniques in Reservoir Management", "score": 0.9973, "subfield": { "id": "https://openalex.org/subfields/2212", "display_name": "Ocean Engineering" }, "field": { "id": "https://openalex.org/fields/22", "display_name": "Engineering" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "type": "article", "type_crossref": "journal-article", "updated_date": "2024-08-14T14:04:44.285393", "versions": [] }
}