Thermodynamic Prediction of Scale Formation in Oil Fields During Water Injection: Application of SPsim Program Through Utilizing Advanced Visual Basic Excel Tool

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出版年:Processes vol. 12, no. 12 (2024), p. 2722
第一著者: Seyed Hossein Hashemi
その他の著者: Besharati, Zahra, Torabi, Farshid, Pimentel, Nuno
出版事項:
MDPI AG
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024 7 |a 10.3390/pr12122722  |2 doi 
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045 2 |b d20240101  |b d20241231 
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100 1 |a Seyed Hossein Hashemi  |u Petroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada; <email>shn081@uregina.ca</email> 
245 1 |a Thermodynamic Prediction of Scale Formation in Oil Fields During Water Injection: Application of SPsim Program Through Utilizing Advanced Visual Basic Excel Tool 
260 |b MDPI AG  |c 2024 
513 |a Journal Article 
520 3 |a This study focuses on the design and validation of a computer program named “SPsim”, developed using Visual Basic coding and advanced Excel tools to predict the formation of sulfate mineral deposits during water injection in oil fields. Water injection for secondary oil recovery is an effective economic strategy, but it can be negatively impacted by the formation of sulfate minerals such as calcium sulfate, gypsum, barium sulfate, and strontium sulfate. The results of this study demonstrate that SPsim can accurately predict the formation of these mineral deposits based on the composition of the formation water and injection water under various temperature and pressure conditions. Specifically, the formation of barium sulfate and calcium sulfate is observed under certain conditions, which is a significant concern in oil fields. The study also highlights that calcium sulfate, barium sulfate, and strontium sulfate are among the most challenging mineral deposits in the studied fields, while the formation of gypsum deposits is less significant. The program was compared with results from other software tools, such as ScaleChem 3.2 and StimCad 2, as well as field observations. The findings indicate that SPsim provides a reliable and effective tool for predicting and managing sulfate scaling in water injection operations, making it a valuable resource for both industrial and academic applications. 
651 4 |a United States--US 
653 |a Barium 
653 |a Water injection 
653 |a Strontium 
653 |a Hydrocarbons 
653 |a Visual Basic 
653 |a Gypsum 
653 |a Visual observation 
653 |a Barium sulfate 
653 |a Water flooding 
653 |a Calcium sulfate 
653 |a Oil and gas fields 
653 |a Software utilities 
653 |a Visual fields 
653 |a Injection 
653 |a Barite 
653 |a Petroleum industry 
653 |a Oil fields 
653 |a Strontium sulfate 
653 |a Visual programming languages 
653 |a Oil recovery 
653 |a Oil 
653 |a Scale formation 
653 |a Mineral deposits 
653 |a Software 
653 |a Neural coding 
653 |a Materials recovery 
700 1 |a Besharati, Zahra  |u Department of Chemistry, School of Science, Alzahra University, Tehran 1993893973, Iran; <email>sadafbesharati@yahoo.com</email> 
700 1 |a Torabi, Farshid  |u Petroleum Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, SK S4S 0A2, Canada; <email>shn081@uregina.ca</email> 
700 1 |a Pimentel, Nuno  |u Instituto Dom Luiz (IDL), Universidade de Lisboa, 1749-016 Lisbon, Portugal; <email>pimentel@fc.ul.pt</email> 
773 0 |t Processes  |g vol. 12, no. 12 (2024), p. 2722 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3149755849/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3149755849/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3149755849/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch