Self-adaptive spatial Kriging parallel interpolation method and system with fault
The invention provides a self-adaptive spatial Kriging parallel interpolation method and system with a fault, and the method comprises the steps: obtaining the geological data of a common sampling point and a fault vertex, and carrying out the preprocessing of the geological data, and obtaining the...
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| creator | SUI GUOHUA PENG YING WU MINGRONG LI XIN JIANG JIE YIN ZHIQIANG CHEN LIN |
| description | The invention provides a self-adaptive spatial Kriging parallel interpolation method and system with a fault, and the method comprises the steps: obtaining the geological data of a common sampling point and a fault vertex, and carrying out the preprocessing of the geological data, and obtaining the preprocessed geological data; constructing a triangulation network with fault constraint according to the preprocessed geological data; searching neighborhood sampling points around a triangle in the triangulation network to obtain a sampling point group; and performing Kriging parallel interpolation calculation on the points to be interpolated in the triangle by using the corresponding sampling point groups. The problem that the calculation error is large due to the fact that the fault constraint is not considered when the geological map with the fault terrain is drawn is solved, and the time performance is greatly improved through GPU parallel calculation.
本发明提供的一种自适应带断层的空间克里金并行插值方法及系统，插值方法包括：获取普通采样点和断层顶点的地质数据，并对 |
| format | Patent |
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本发明提供的一种自适应带断层的空间克里金并行插值方法及系统，插值方法包括：获取普通采样点和断层顶点的地质数据，并对</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240920&DB=EPODOC&CC=CN&NR=118674889A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240920&DB=EPODOC&CC=CN&NR=118674889A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SUI GUOHUA</creatorcontrib><creatorcontrib>PENG YING</creatorcontrib><creatorcontrib>WU MINGRONG</creatorcontrib><creatorcontrib>LI XIN</creatorcontrib><creatorcontrib>JIANG JIE</creatorcontrib><creatorcontrib>YIN ZHIQIANG</creatorcontrib><creatorcontrib>CHEN LIN</creatorcontrib><title>Self-adaptive spatial Kriging parallel interpolation method and system with fault</title><description>The invention provides a self-adaptive spatial Kriging parallel interpolation method and system with a fault, and the method comprises the steps: obtaining the geological data of a common sampling point and a fault vertex, and carrying out the preprocessing of the geological data, and obtaining the preprocessed geological data; constructing a triangulation network with fault constraint according to the preprocessed geological data; searching neighborhood sampling points around a triangle in the triangulation network to obtain a sampling point group; and performing Kriging parallel interpolation calculation on the points to be interpolated in the triangle by using the corresponding sampling point groups. The problem that the calculation error is large due to the fact that the fault constraint is not considered when the geological map with the fault terrain is drawn is solved, and the time performance is greatly improved through GPU parallel calculation.
本发明提供的一种自适应带断层的空间克里金并行插值方法及系统，插值方法包括：获取普通采样点和断层顶点的地质数据，并对</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjUEKwjAQAHPxIOof1gf0UBSNRymKIAii97KYTbuwTUKyKv7eHnyApznMwEzN9UbiK3SYlF8EJaEyCpwzdxw6SJhRhAQ4KOUUZdQxwEDaRwcYHJRPURrgzdqDx6fo3Ew8SqHFjzOzPB7uzamiFFsaBw8KpG1zqWu72a6t3e1X_zRfD1M4RA</recordid><startdate>20240920</startdate><enddate>20240920</enddate><creator>SUI GUOHUA</creator><creator>PENG YING</creator><creator>WU MINGRONG</creator><creator>LI XIN</creator><creator>JIANG JIE</creator><creator>YIN ZHIQIANG</creator><creator>CHEN LIN</creator><scope>EVB</scope></search><sort><creationdate>20240920</creationdate><title>Self-adaptive spatial Kriging parallel interpolation method and system with fault</title><author>SUI GUOHUA ; PENG YING ; WU MINGRONG ; LI XIN ; JIANG JIE ; YIN ZHIQIANG ; CHEN LIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118674889A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SUI GUOHUA</creatorcontrib><creatorcontrib>PENG YING</creatorcontrib><creatorcontrib>WU MINGRONG</creatorcontrib><creatorcontrib>LI XIN</creatorcontrib><creatorcontrib>JIANG JIE</creatorcontrib><creatorcontrib>YIN ZHIQIANG</creatorcontrib><creatorcontrib>CHEN LIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUI GUOHUA</au><au>PENG YING</au><au>WU MINGRONG</au><au>LI XIN</au><au>JIANG JIE</au><au>YIN ZHIQIANG</au><au>CHEN LIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Self-adaptive spatial Kriging parallel interpolation method and system with fault</title><date>2024-09-20</date><risdate>2024</risdate><abstract>The invention provides a self-adaptive spatial Kriging parallel interpolation method and system with a fault, and the method comprises the steps: obtaining the geological data of a common sampling point and a fault vertex, and carrying out the preprocessing of the geological data, and obtaining the preprocessed geological data; constructing a triangulation network with fault constraint according to the preprocessed geological data; searching neighborhood sampling points around a triangle in the triangulation network to obtain a sampling point group; and performing Kriging parallel interpolation calculation on the points to be interpolated in the triangle by using the corresponding sampling point groups. The problem that the calculation error is large due to the fact that the fault constraint is not considered when the geological map with the fault terrain is drawn is solved, and the time performance is greatly improved through GPU parallel calculation.
本发明提供的一种自适应带断层的空间克里金并行插值方法及系统，插值方法包括：获取普通采样点和断层顶点的地质数据，并对</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Self-adaptive spatial Kriging parallel interpolation method and system with fault |
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