Aliyu Adebayo Sulaimon , Habineswaran A/L Rajan , Ali Qasim , Nwankwo Princess Christiana , Pearl Isabellah Murungi
{"title":"建立涉及SARA馏分和胶体不稳定性指数的沥青质沉积的新相关性","authors":"Aliyu Adebayo Sulaimon , Habineswaran A/L Rajan , Ali Qasim , Nwankwo Princess Christiana , Pearl Isabellah Murungi","doi":"10.1016/j.petrol.2022.111143","DOIUrl":null,"url":null,"abstract":"<div><p><span>Asphaltene deposition<span><span> in pipelines disrupts the normal transportation of the fluid produced. The deposition within the pipeline depends on the content of saturates, aromatic, resin, and asphaltenes (SARA) in crude oil. SARA analysis is used in the </span>petroleum industry<span> to estimate the stability of asphaltenes. In this study, a new set of correlations has been developed using regression analysis and the MATLAB curve fitting tool. The SARA fractions and the colloidal instability index (CII) are correlated with density, viscosity, and the combination of density and viscosity. SARA analysis data from 310 crude oil samples were used to develop the correlations while field data from 29 unique crude oils were used for validation. The best-fit correlations are selected based on statistical indicators such as the correlation coefficient (R</span></span></span><sup>2</sup><span>), the root mean square error<span> (RMSE), and the average absolute relative error (AARE). Asphaltene stability plots were also developed for the new density-based CII (DBCII), viscosity-based CII (VBCII), and the density-and-viscosity-based CII (DVBCII). Based on statistical indicators, analysis of results shows that the density-based correlations for the SARA fractions are relatively more accurate than the viscosity-based correlations. The R-squared value for the DBCII is 0.7031 compared to 0.3234 for the VBCII and 0.6875 for the DVBCII. However, the percentage accuracy of 83% for the DVBCII is higher than the accuracy of the existing methods. The newly developed deposition envelopes are divided into stable and unstable regions that can be used to determine the stability of the asphaltene based on the physical properties of crude oil. The newly developed correlations for each SARA fraction based on the oil density eliminate the requirement for the laborious and time-consuming SARA analysis. Therefore, it is useful to predict the stability of asphaltene based on the physical properties of crude oil.</span></span></p></div>","PeriodicalId":16717,"journal":{"name":"Journal of Petroleum Science and Engineering","volume":"220 ","pages":"Article 111143"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Developing new correlations for asphaltene deposition involving SARA fractions and colloidal instability index\",\"authors\":\"Aliyu Adebayo Sulaimon , Habineswaran A/L Rajan , Ali Qasim , Nwankwo Princess Christiana , Pearl Isabellah Murungi\",\"doi\":\"10.1016/j.petrol.2022.111143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>Asphaltene deposition<span><span> in pipelines disrupts the normal transportation of the fluid produced. The deposition within the pipeline depends on the content of saturates, aromatic, resin, and asphaltenes (SARA) in crude oil. SARA analysis is used in the </span>petroleum industry<span> to estimate the stability of asphaltenes. In this study, a new set of correlations has been developed using regression analysis and the MATLAB curve fitting tool. The SARA fractions and the colloidal instability index (CII) are correlated with density, viscosity, and the combination of density and viscosity. SARA analysis data from 310 crude oil samples were used to develop the correlations while field data from 29 unique crude oils were used for validation. The best-fit correlations are selected based on statistical indicators such as the correlation coefficient (R</span></span></span><sup>2</sup><span>), the root mean square error<span> (RMSE), and the average absolute relative error (AARE). Asphaltene stability plots were also developed for the new density-based CII (DBCII), viscosity-based CII (VBCII), and the density-and-viscosity-based CII (DVBCII). Based on statistical indicators, analysis of results shows that the density-based correlations for the SARA fractions are relatively more accurate than the viscosity-based correlations. The R-squared value for the DBCII is 0.7031 compared to 0.3234 for the VBCII and 0.6875 for the DVBCII. However, the percentage accuracy of 83% for the DVBCII is higher than the accuracy of the existing methods. The newly developed deposition envelopes are divided into stable and unstable regions that can be used to determine the stability of the asphaltene based on the physical properties of crude oil. The newly developed correlations for each SARA fraction based on the oil density eliminate the requirement for the laborious and time-consuming SARA analysis. Therefore, it is useful to predict the stability of asphaltene based on the physical properties of crude oil.</span></span></p></div>\",\"PeriodicalId\":16717,\"journal\":{\"name\":\"Journal of Petroleum Science and Engineering\",\"volume\":\"220 \",\"pages\":\"Article 111143\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Petroleum Science and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0920410522009950\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Petroleum Science and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920410522009950","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Developing new correlations for asphaltene deposition involving SARA fractions and colloidal instability index
Asphaltene deposition in pipelines disrupts the normal transportation of the fluid produced. The deposition within the pipeline depends on the content of saturates, aromatic, resin, and asphaltenes (SARA) in crude oil. SARA analysis is used in the petroleum industry to estimate the stability of asphaltenes. In this study, a new set of correlations has been developed using regression analysis and the MATLAB curve fitting tool. The SARA fractions and the colloidal instability index (CII) are correlated with density, viscosity, and the combination of density and viscosity. SARA analysis data from 310 crude oil samples were used to develop the correlations while field data from 29 unique crude oils were used for validation. The best-fit correlations are selected based on statistical indicators such as the correlation coefficient (R2), the root mean square error (RMSE), and the average absolute relative error (AARE). Asphaltene stability plots were also developed for the new density-based CII (DBCII), viscosity-based CII (VBCII), and the density-and-viscosity-based CII (DVBCII). Based on statistical indicators, analysis of results shows that the density-based correlations for the SARA fractions are relatively more accurate than the viscosity-based correlations. The R-squared value for the DBCII is 0.7031 compared to 0.3234 for the VBCII and 0.6875 for the DVBCII. However, the percentage accuracy of 83% for the DVBCII is higher than the accuracy of the existing methods. The newly developed deposition envelopes are divided into stable and unstable regions that can be used to determine the stability of the asphaltene based on the physical properties of crude oil. The newly developed correlations for each SARA fraction based on the oil density eliminate the requirement for the laborious and time-consuming SARA analysis. Therefore, it is useful to predict the stability of asphaltene based on the physical properties of crude oil.
期刊介绍：
The objective of the Journal of Petroleum Science and Engineering is to bridge the gap between the engineering, the geology and the science of petroleum and natural gas by publishing explicitly written articles intelligible to scientists and engineers working in any field of petroleum engineering, natural gas engineering and petroleum (natural gas) geology. An attempt is made in all issues to balance the subject matter and to appeal to a broad readership.
The Journal of Petroleum Science and Engineering covers the fields of petroleum (and natural gas) exploration, production and flow in its broadest possible sense. Topics include: origin and accumulation of petroleum and natural gas; petroleum geochemistry; reservoir engineering; reservoir simulation; rock mechanics; petrophysics; pore-level phenomena; well logging, testing and evaluation; mathematical modelling; enhanced oil and gas recovery; petroleum geology; compaction/diagenesis; petroleum economics; drilling and drilling fluids; thermodynamics and phase behavior; fluid mechanics; multi-phase flow in porous media; production engineering; formation evaluation; exploration methods; CO2 Sequestration in geological formations/sub-surface; management and development of unconventional resources such as heavy oil and bitumen, tight oil and liquid rich shales.
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