{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T06:07:59Z","timestamp":1790230079825,"version":"4.1.0"},"reference-count":21,"publisher":"Society of Exploration Geophysicists","issue":"2","content-domain":{"domain":["library.seg.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,3,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Processing of potential field data is commonly done by spectral methods because of their low computational complexity. However, we have studied some geostatistical methods to process the potential field data, and we find the advantages of using these spatial methods. First, we investigate transformation of data by kriging using a gravimetric model of covariance, we compare this approach with the spectral method, and we find its advantage when the data were sparse and not on a regular grid using a synthetic example as well as a field data example. Then, we use factorial kriging for noise reduction and separation of the regional and residual components. This method does not have some of the practical limitations that the spectral-based methods encounter. Finally, we determine the flexibility of interpolation using nonstationary covariances.<\/jats:p>","DOI":"10.1190\/geo2015-0631.1","type":"journal-article","created":{"date-parts":[[2017,2,16]],"date-time":"2017-02-16T08:56:32Z","timestamp":1487235392000},"page":"G35-G44","update-policy":"https:\/\/doi.org\/10.1190\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Data analysis of potential field methods using geostatistics"],"prefix":"10.1190","volume":"82","author":[{"given":"Pejman","family":"Shamsipour","sequence":"first","affiliation":[{"name":"Polytechnique de Montr\u00e9al 1 , D\u00e9partement des G\u00e9nies Civil, G\u00e9ologique et des Mines, Montreal, Quebec, . E-mail: pejman.shamsipour@polymtl.ca ; michel.chouteau@polymtl.ca ; anddenis.marcotte@polymtl.ca .","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michel","family":"Chouteau","sequence":"additional","affiliation":[{"name":"Polytechnique de Montr\u00e9al 1 , D\u00e9partement des G\u00e9nies Civil, G\u00e9ologique et des Mines, Montreal, Quebec, . E-mail: pejman.shamsipour@polymtl.ca ; michel.chouteau@polymtl.ca ; anddenis.marcotte@polymtl.ca .","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denis","family":"Marcotte","sequence":"additional","affiliation":[{"name":"Polytechnique de Montr\u00e9al 1 , D\u00e9partement des G\u00e9nies Civil, G\u00e9ologique et des Mines, Montreal, Quebec, . E-mail: pejman.shamsipour@polymtl.ca ; michel.chouteau@polymtl.ca ; anddenis.marcotte@polymtl.ca .","place":["Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"186","published-online":{"date-parts":[[2017,2,6]]},"reference":[{"key":"2026080413544093800_r1","volume-title":"Potential theory in gravity and magnetic applications","author":"Blakely","year":"1996"},{"key":"2026080413544093800_r2","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1046\/j.1365-2478.2001.00254.x","article-title":"Constraints in 3D gravity inversion","volume":"49","author":"Boulanger","year":"2001","journal-title":"Geophysical Prospecting","ISSN":"https:\/\/id.crossref.org\/issn\/0016-8025","issn-type":"print"},{"key":"2026080413544093800_r3","doi-asserted-by":"crossref","DOI":"10.1002\/9781118136188","volume-title":"Geostatistics: Modeling spatial uncertainty","author":"Chil\u00e8s","year":"2012","edition":"2nd ed."},{"key":"2026080413544093800_r4","first-page":"455","article-title":"Variogrammes et krigeages pour la gravim\u00e9trie et le magn\u00e9tisme","volume":"20","author":"Chil\u00e8s","year":"1984","journal-title":"Sciences de la Terre, S\u00e9rie Informatique"},{"key":"2026080413544093800_r5","first-page":"761","article-title":"Non-stationary spatial modeling","volume":"6","author":"Higdon","year":"1999","journal-title":"Bayesian Statistics"},{"key":"2026080413544093800_r6","volume-title":"Analysis and reprocessing of the Strange Lake airborne gravity gradiometry survey, Quebec and Newfoundland and Labrador","author":"Keating","year":"2013"},{"key":"2026080413544093800_r7","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1023\/A:1007542406333","article-title":"The FFT moving average (FFT-MA) generator: An efficient numerical method for generating and conditioning Gaussian simulations","volume":"32","author":"Le Ravalec","year":"2000","journal-title":"Mathematical Geology","ISSN":"https:\/\/id.crossref.org\/issn\/0882-8121","issn-type":"print"},{"key":"2026080413544093800_r8","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1023\/A:1006554408567","article-title":"Three-dimensional gravity modeling in all space","volume":"19","author":"Li","year":"1998","journal-title":"Surveys in Geophysics","ISSN":"https:\/\/id.crossref.org\/issn\/0169-3298","issn-type":"print"},{"key":"2026080413544093800_r9","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1080\/01621459.2012.746061","article-title":"A resampling-based stochastic approximation method for analysis of large geostatistical data","volume":"108","author":"Liang","year":"2013","journal-title":"Journal of the American Statistical Association"},{"key":"2026080413544093800_r10","first-page":"249","volume-title":"Geostatistics Troia92","author":"Marcotte","year":"1993"},{"key":"2026080413544093800_r11","volume-title":"Trait\u00e9 de g\u00e9ostatistique appliqu\u00e9e","author":"Matheron","year":"1962"},{"key":"2026080413544093800_r12","unstructured":"Matheron\n              G.\n            \n          , 1965, Les variables r\u00e9gionalis\u00e9es et leur estimation: Ph.D. thesis, Facult\u00e9 des sciences de l\u2019Universit\u00e9 de Paris."},{"key":"2026080413544093800_r13","unstructured":"Matheron\n              G.\n            \n          , 1982, Pour une analyse krigeante des donn\u00e9es r\u00e9gionalis\u00e9es: Centre de G\u00e9ostatistique, Report N-732, Fontainebleau."},{"issue":"6","key":"2026080413544093800_r14","doi-asserted-by":"crossref","first-page":"33ND","DOI":"10.1190\/1.2133784","article-title":"The historical development of the magnetic method in exploration","volume":"70","author":"Nabighian","year":"2005","journal-title":"Geophysics","ISSN":"https:\/\/id.crossref.org\/issn\/0016-8033","issn-type":"print"},{"key":"2026080413544093800_r15","unstructured":"Paciorek\n              C.\n            \n          , 2003, Nonstationary Gaussian processes for regression and spatial modeling: Ph.D. thesis, dissertation, Carnegie Mellon University."},{"key":"2026080413544093800_r16","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1002\/env.785","article-title":"Spatial modeling using a new class of nonstationary covariance functions","volume":"17","author":"Paciorek","year":"2006","journal-title":"Environmetrics","ISSN":"https:\/\/id.crossref.org\/issn\/1099-095X","issn-type":"print"},{"key":"2026080413544093800_r17","doi-asserted-by":"crossref","unstructured":"Rim\n              H.\n            \n            \n              Park\n              Y.\n            \n            \n              Lim\n              M.\n            \n            \n              Koo\n              S.\n            \n            \n              Lee\n              Y.\n            \n            \n              Kwon\n              B.\n            \n          , 2006a, Separation of regional and residual gravity by means of geostatistical spatial filtering: Presented at the 2nd EAGE St Petersburg International Conference and Exhibition on Geosciences.","DOI":"10.3997\/2214-4609-pdb.20.P153"},{"key":"2026080413544093800_r18","doi-asserted-by":"crossref","unstructured":"Rim\n              H.\n            \n            \n              Park\n              Y.-S.\n            \n            \n              Lim\n              M.\n            \n            \n              Koo\n              S. B.\n            \n            \n              Lee\n              Y. C.\n            \n          , 2006b, New separation method of regional-residual gravity anomaly by means of geostatistical filtering: Proceedings of the 8th SEGJ International Symposium, doi: http:\/\/dx.doi.org\/10.1190\/segj082006-001.121.","DOI":"10.1190\/segj082006-001.121"},{"key":"2026080413544093800_r19","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.jhydrol.2012.09.027","article-title":"Kriging groundwater solute concentrations using flow coordinates and nonstationary covariance functions","volume":"472","author":"Rivest","year":"2012","journal-title":"Journal of Hydrology","ISSN":"https:\/\/id.crossref.org\/issn\/0022-1694","issn-type":"print"},{"issue":"2","key":"2026080413544093800_r20","doi-asserted-by":"crossref","first-page":"G15","DOI":"10.1190\/geo2012-0122.1","article-title":"3D stochastic gravity inversion using nonstationary covariances","volume":"78","author":"Shamsipour","year":"2013","journal-title":"Geophysics","ISSN":"https:\/\/id.crossref.org\/issn\/0016-8033","issn-type":"print"},{"key":"2026080413544093800_r21","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1190\/1.1440092","article-title":"Statistical models for interpreting aeromagnetic data","volume":"35","author":"Spector","year":"1970","journal-title":"Geophysics","ISSN":"https:\/\/id.crossref.org\/issn\/0016-8033","issn-type":"print"}],"container-title":["Geophysics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.geoscienceworld.org\/seg\/geophysics\/article-pdf\/82\/2\/G35\/4052243\/geo-2015-0631.1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.geoscienceworld.org\/seg\/geophysics\/article-pdf\/82\/2\/G35\/4052243\/geo-2015-0631.1.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T17:54:53Z","timestamp":1785866093000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.geoscienceworld.org\/geophysics\/article\/82\/2\/G35\/520853\/Data-analysis-of-potential-field-methods-using"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,6]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,3,1]]}},"URL":"https:\/\/doi.org\/10.1190\/geo2015-0631.1","relation":{},"ISSN":["0016-8033","1942-2156"],"issn-type":[{"value":"0016-8033","type":"print"},{"value":"1942-2156","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,6]]},"assertion":[{"value":"2015-11-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-10-20","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2016-11-03","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-02-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}