Ground crude oil density prediction method based on fluorescence image processing
The invention discloses a ground crude oil density prediction method based on fluorescence image processing, which comprises the following steps of: 1, extracting a fluorescence dominant tone color image from a fluorescence color image of an oil-bearing wall center of a reservoir through color selec...
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| creator | LIU YINGXIAN LI JINYI CAI HUI LUO XIANBO LIU BOWEI LI QIZHENG LIAO XINWU CHEN NANA MA KUIQIAN ZHANG JING |
| description | The invention discloses a ground crude oil density prediction method based on fluorescence image processing, which comprises the following steps of: 1, extracting a fluorescence dominant tone color image from a fluorescence color image of an oil-bearing wall center of a reservoir through color selection; step 2, converting the fluorescent dominant tone color image into a grayscale image in the same color mode; step 3, extracting a gray value of the gray image; step 4, acquiring ground crude oil density data of the crude oil samples recorded by the oil-bearing wall center of the reservoir at the same reservoir depth position; 5, establishing a regression equation of the ground crude oil density data and the gray value; and step 6, predicting the ground crude oil density through the regression equation. Compared with the prior art, the method has the advantage that the crude oil ground density data at the same depth position can be quantitatively predicted through the oil-bearing wall center fluorescence image. |
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Compared with the prior art, the method has the advantage that the crude oil ground density data at the same depth position can be quantitatively predicted through the oil-bearing wall center fluorescence image.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNiz0KAjEUBrexEPUOzwMIG_wBS1n8qQTBfonJt2sgmxfyksLbm8IDWA0DM_PmcU1cgiWTigWx82QRxOUPxQTrTHYcaEJ-s6WXFliqPvjCCWIQDMhNekSt2UDEhXHZzAbtBasfF836cn52tw0i95Co64bcd3el9u3ueGjVaftP8wX9VDgA</recordid><startdate>20220913</startdate><enddate>20220913</enddate><creator>LIU YINGXIAN</creator><creator>LI JINYI</creator><creator>CAI HUI</creator><creator>LUO XIANBO</creator><creator>LIU BOWEI</creator><creator>LI QIZHENG</creator><creator>LIAO XINWU</creator><creator>CHEN NANA</creator><creator>MA KUIQIAN</creator><creator>ZHANG JING</creator><scope>EVB</scope></search><sort><creationdate>20220913</creationdate><title>Ground crude oil density prediction method based on fluorescence image processing</title><author>LIU YINGXIAN ; LI JINYI ; CAI HUI ; LUO XIANBO ; LIU BOWEI ; LI QIZHENG ; LIAO XINWU ; CHEN NANA ; MA KUIQIAN ; ZHANG JING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115049601A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>LIU YINGXIAN</creatorcontrib><creatorcontrib>LI JINYI</creatorcontrib><creatorcontrib>CAI HUI</creatorcontrib><creatorcontrib>LUO XIANBO</creatorcontrib><creatorcontrib>LIU BOWEI</creatorcontrib><creatorcontrib>LI QIZHENG</creatorcontrib><creatorcontrib>LIAO XINWU</creatorcontrib><creatorcontrib>CHEN NANA</creatorcontrib><creatorcontrib>MA KUIQIAN</creatorcontrib><creatorcontrib>ZHANG JING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU YINGXIAN</au><au>LI JINYI</au><au>CAI HUI</au><au>LUO XIANBO</au><au>LIU BOWEI</au><au>LI QIZHENG</au><au>LIAO XINWU</au><au>CHEN NANA</au><au>MA KUIQIAN</au><au>ZHANG JING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Ground crude oil density prediction method based on fluorescence image processing</title><date>2022-09-13</date><risdate>2022</risdate><abstract>The invention discloses a ground crude oil density prediction method based on fluorescence image processing, which comprises the following steps of: 1, extracting a fluorescence dominant tone color image from a fluorescence color image of an oil-bearing wall center of a reservoir through color selection; step 2, converting the fluorescent dominant tone color image into a grayscale image in the same color mode; step 3, extracting a gray value of the gray image; step 4, acquiring ground crude oil density data of the crude oil samples recorded by the oil-bearing wall center of the reservoir at the same reservoir depth position; 5, establishing a regression equation of the ground crude oil density data and the gray value; and step 6, predicting the ground crude oil density through the regression equation. Compared with the prior art, the method has the advantage that the crude oil ground density data at the same depth position can be quantitatively predicted through the oil-bearing wall center fluorescence image.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Ground crude oil density prediction method based on fluorescence image processing |
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