Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.
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| Title: | Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods. |
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| Authors: | Kumar A; Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris Yeltsin, Ekaterinburg, 620002, Russia.; Department of Technical Sciences, Western Caspian University, Baku, Azerbaijan.; Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India., Rodrigues P; Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Saudi Arabia., Kareem AK; Biomedical Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Hillah, 51001, Babil, Iraq., Sekac T; Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae,, Morobe, Papua New Guinea., Abdullaev S; Faculty of Chemical Engineering, New Uzbekistan University, Tashkent, Uzbekistan.; Scientific and Innovation Department, Tashkent State Pedagogical University, Tashkent, Uzbekistan.; Department of Oil Refining and Gas, Andijan Machine-Building Institute, Andijan, Uzbekistan., Chohan JS; School of Mechanical Engineering, Rayat Bahra University, Mohali, India.; Faculty of Engineering, Sohar University, Sohar, Oman., Manjunatha R; Department of Data Analytics and Mathematical Sciences, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India., Rethik K; Department of Computer Science and Engineering, Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, 140307, India., Dasi S; Department of Computing Science and Artificial Intelligence, NIMS Institute of Engineering & Technology, NIMS University Rajasthan, Jaipur, India., Kiani M; Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran. mahmoodkiani373@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2025 Jan 02; Vol. 15 (1), pp. 373. Date of Electronic Publication: 2025 Jan 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39747642 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kumar+A%22">Kumar A</searchLink>; Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris Yeltsin, Ekaterinburg, 620002, Russia.; Department of Technical Sciences, Western Caspian University, Baku, Azerbaijan.; Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India.<br /><searchLink fieldCode="AU" term="%22Rodrigues+P%22">Rodrigues P</searchLink>; Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Kareem+AK%22">Kareem AK</searchLink>; Biomedical Engineering Department, College of Engineering and Technologies, Al-Mustaqbal University, Hillah, 51001, Babil, Iraq.<br /><searchLink fieldCode="AU" term="%22Sekac+T%22">Sekac T</searchLink>; Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae,, Morobe, Papua New Guinea.<br /><searchLink fieldCode="AU" term="%22Abdullaev+S%22">Abdullaev S</searchLink>; Faculty of Chemical Engineering, New Uzbekistan University, Tashkent, Uzbekistan.; Scientific and Innovation Department, Tashkent State Pedagogical University, Tashkent, Uzbekistan.; Department of Oil Refining and Gas, Andijan Machine-Building Institute, Andijan, Uzbekistan.<br /><searchLink fieldCode="AU" term="%22Chohan+JS%22">Chohan JS</searchLink>; School of Mechanical Engineering, Rayat Bahra University, Mohali, India.; Faculty of Engineering, Sohar University, Sohar, Oman.<br /><searchLink fieldCode="AU" term="%22Manjunatha+R%22">Manjunatha R</searchLink>; Department of Data Analytics and Mathematical Sciences, School of Sciences, JAIN (Deemed to Be University), Bangalore, Karnataka, India.<br /><searchLink fieldCode="AU" term="%22Rethik+K%22">Rethik K</searchLink>; Department of Computer Science and Engineering, Chandigarh Engineering College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab, 140307, India.<br /><searchLink fieldCode="AU" term="%22Dasi+S%22">Dasi S</searchLink>; Department of Computing Science and Artificial Intelligence, NIMS Institute of Engineering & Technology, NIMS University Rajasthan, Jaipur, India.<br /><searchLink fieldCode="AU" term="%22Kiani+M%22">Kiani M</searchLink>; Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran. mahmoodkiani373@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Jan 02; Vol. 15 (1), pp. 373. <i>Date of Electronic Publication: </i>2025 Jan 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39747642 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-84556-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 373 Titles: – TitleFull: Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar A – PersonEntity: Name: NameFull: Rodrigues P – PersonEntity: Name: NameFull: Kareem AK – PersonEntity: Name: NameFull: Sekac T – PersonEntity: Name: NameFull: Abdullaev S – PersonEntity: Name: NameFull: Chohan JS – PersonEntity: Name: NameFull: Manjunatha R – PersonEntity: Name: NameFull: Rethik K – PersonEntity: Name: NameFull: Dasi S – PersonEntity: Name: NameFull: Kiani M IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 01 Text: 2025 Jan 02 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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