E. Ayodele, Ndubuisi Chukuigwe, Oshogwe Akpogomeh, Ibrahim Bilal
{"title":"PMS和AGO储罐图的数字化转换","authors":"E. Ayodele, Ndubuisi Chukuigwe, Oshogwe Akpogomeh, Ibrahim Bilal","doi":"10.2118/207166-ms","DOIUrl":null,"url":null,"abstract":"\n Petroleum product needs to be stored and transported from various sources before they get to the final consumers, there by requiring storage tanks. Calibration of storage tank by dry and wet strapping process have evolved over the years with state-of-the-art facilities. The calibration charts are used to determine and know the volume of fluid in a tank given the height of the petroleum products stored in the tank. Calculating volume of a tank with the integration method has a lot of sources of error thereby affecting the result of the volume calculated and causing losses in revenue due to inaccurate calibrated tanks. With the losses in revenue due to wrong computations or computational errors, a fast, dynamic and cost-effective solutions become imperative to solve these computation problems. The tank charts having been delivered for daily usage and fiscalization process after the tank strapping process, calculation errors need to be minimized in order to report accurately petroleum products in stocks, which is a function of temperature, density and volume correction factor. This paper aims to solve the problem by semi automating the process of calculating total volume of product in stock with error free results. Approach in this paper was used and test run for a storage facility X. This paper shows how calculations from calibrated tanks can be done with a virtual method using excel spreadsheet and converted into a software for effective use and making percentage error almost zero. The results obtained from this method of computation were error free and devoid of human errors.","PeriodicalId":10899,"journal":{"name":"Day 2 Tue, August 03, 2021","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital Transformation of Storage Tank Chart For PMS and AGO\",\"authors\":\"E. Ayodele, Ndubuisi Chukuigwe, Oshogwe Akpogomeh, Ibrahim Bilal\",\"doi\":\"10.2118/207166-ms\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Petroleum product needs to be stored and transported from various sources before they get to the final consumers, there by requiring storage tanks. Calibration of storage tank by dry and wet strapping process have evolved over the years with state-of-the-art facilities. The calibration charts are used to determine and know the volume of fluid in a tank given the height of the petroleum products stored in the tank. Calculating volume of a tank with the integration method has a lot of sources of error thereby affecting the result of the volume calculated and causing losses in revenue due to inaccurate calibrated tanks. With the losses in revenue due to wrong computations or computational errors, a fast, dynamic and cost-effective solutions become imperative to solve these computation problems. The tank charts having been delivered for daily usage and fiscalization process after the tank strapping process, calculation errors need to be minimized in order to report accurately petroleum products in stocks, which is a function of temperature, density and volume correction factor. This paper aims to solve the problem by semi automating the process of calculating total volume of product in stock with error free results. Approach in this paper was used and test run for a storage facility X. This paper shows how calculations from calibrated tanks can be done with a virtual method using excel spreadsheet and converted into a software for effective use and making percentage error almost zero. The results obtained from this method of computation were error free and devoid of human errors.\",\"PeriodicalId\":10899,\"journal\":{\"name\":\"Day 2 Tue, August 03, 2021\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 2 Tue, August 03, 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/207166-ms\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, August 03, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/207166-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Transformation of Storage Tank Chart For PMS and AGO
Petroleum product needs to be stored and transported from various sources before they get to the final consumers, there by requiring storage tanks. Calibration of storage tank by dry and wet strapping process have evolved over the years with state-of-the-art facilities. The calibration charts are used to determine and know the volume of fluid in a tank given the height of the petroleum products stored in the tank. Calculating volume of a tank with the integration method has a lot of sources of error thereby affecting the result of the volume calculated and causing losses in revenue due to inaccurate calibrated tanks. With the losses in revenue due to wrong computations or computational errors, a fast, dynamic and cost-effective solutions become imperative to solve these computation problems. The tank charts having been delivered for daily usage and fiscalization process after the tank strapping process, calculation errors need to be minimized in order to report accurately petroleum products in stocks, which is a function of temperature, density and volume correction factor. This paper aims to solve the problem by semi automating the process of calculating total volume of product in stock with error free results. Approach in this paper was used and test run for a storage facility X. This paper shows how calculations from calibrated tanks can be done with a virtual method using excel spreadsheet and converted into a software for effective use and making percentage error almost zero. The results obtained from this method of computation were error free and devoid of human errors.