Computational study of the thermophysical properties of graphene oxide/vacuum residue nanofluids for enhanced oil recovery Article Swipe
Abdulhakeem Yusuf
,
M. M. Bhatti
,
Chaudry Masood Khalique
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s10973-024-13921-y
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s10973-024-13921-y
Prior research suggests that the use of nanotechnology may greatly improve the efficiency of enhanced oil recovery methods, especially hot fluid injection. The thermophysical characteristics of the nanofluid may have an enormous effect on how well the injection process works. However, it takes both time and resources to conduct laboratory analyses of the effects of thermophysical characteristics on the effectiveness of nanofluid-based improved oil recovery methods. Computational models can effectively forecast the thermophysical characteristics of nanofluids and how they affect oil recovery efficiency, which helps overcome this difficulty. The current study investigates the flow of vacuum residue (VR) fluid, which generates entropy when suspended graphene oxide (GO) nanoparticles. When mixed convection and variable thermal conductivity are present, a static/moving wedge allows the nanofluid to propagate. The continuity, energy, entropy, and momentum equations form the foundation of the governing model. We use certain similarity variables to simplify the suggested mathematical formulations into forms for nonlinear differential equations (DEs). We show the results of the reduced equations using the Chebyshev collocation method. We present the graphical and numerical results for all the emerging parameters. For enhanced oil recovery applications, the current results are beneficial.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10973-024-13921-y
- https://link.springer.com/content/pdf/10.1007/s10973-024-13921-y.pdf
- OA Status
- hybrid
- Cited By
- 19
- References
- 58
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4405423558Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s10973-024-13921-yDigital Object Identifier
- Title
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Computational study of the thermophysical properties of graphene oxide/vacuum residue nanofluids for enhanced oil recoveryWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-12-16Full publication date if available
- Authors
-
Abdulhakeem Yusuf, M. M. Bhatti, Chaudry Masood KhaliqueList of authors in order
- Landing page
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https://doi.org/10.1007/s10973-024-13921-yPublisher landing page
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https://link.springer.com/content/pdf/10.1007/s10973-024-13921-y.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s10973-024-13921-y.pdfDirect OA link when available
- Concepts
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Nanofluid, Graphene, Materials science, Oxide, Chemical engineering, Residue (chemistry), Enhanced oil recovery, Thermal, Nanotechnology, Thermodynamics, Chemistry, Nanoparticle, Organic chemistry, Metallurgy, Engineering, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 19Per-year citation counts (last 5 years)
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58Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3124534284, https://openalex.org/W2116526261, https://openalex.org/W2102505859, https://openalex.org/W2131774287, https://openalex.org/W2742791359, https://openalex.org/W2536295433, https://openalex.org/W2898984132, https://openalex.org/W2318388314, https://openalex.org/W2914762919, https://openalex.org/W2912489961, https://openalex.org/W3109607413, https://openalex.org/W4392005665, https://openalex.org/W2324457706, https://openalex.org/W2333170986, https://openalex.org/W2015805989, https://openalex.org/W2033528320, https://openalex.org/W2062012211, https://openalex.org/W2066822923, https://openalex.org/W2510669027, https://openalex.org/W1993197553, https://openalex.org/W3085255012, https://openalex.org/W3164309220, https://openalex.org/W2765357497, https://openalex.org/W4200448173, https://openalex.org/W4390580650, https://openalex.org/W4367299577, https://openalex.org/W4396724928, https://openalex.org/W3009198853, https://openalex.org/W4372233779, https://openalex.org/W4400992241, https://openalex.org/W3217734897, https://openalex.org/W2897522294, https://openalex.org/W4401410707, https://openalex.org/W4385277729, https://openalex.org/W4392895274, https://openalex.org/W2322315625, https://openalex.org/W4398164793, https://openalex.org/W4393379290, https://openalex.org/W4392200372, https://openalex.org/W4295548909, https://openalex.org/W4391656578, https://openalex.org/W4224659718, https://openalex.org/W2999677460, https://openalex.org/W2896507380, https://openalex.org/W4211082834, https://openalex.org/W1971804044, https://openalex.org/W2624290312, https://openalex.org/W4223580806, https://openalex.org/W2093717036, https://openalex.org/W4291010247, https://openalex.org/W1988308975, https://openalex.org/W4389948898, https://openalex.org/W1972612558, https://openalex.org/W4307904429, https://openalex.org/W2530923851, https://openalex.org/W4251293716, https://openalex.org/W2787829000, https://openalex.org/W4246105906 |
| referenced_works_count | 58 |
| abstract_inverted_index.a | 118 |
| abstract_inverted_index.We | 140, 158, 171 |
| abstract_inverted_index.an | 31 |
| abstract_inverted_index.it | 42 |
| abstract_inverted_index.of | 7, 14, 26, 52, 55, 61, 75, 95, 136, 162 |
| abstract_inverted_index.on | 34, 58 |
| abstract_inverted_index.to | 48, 124, 145 |
| abstract_inverted_index.For | 183 |
| abstract_inverted_index.The | 23, 89, 126 |
| abstract_inverted_index.all | 179 |
| abstract_inverted_index.and | 46, 77, 112, 130, 175 |
| abstract_inverted_index.are | 116, 191 |
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| abstract_inverted_index.for | 153, 178 |
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| abstract_inverted_index.how | 35, 78 |
| abstract_inverted_index.may | 9, 29 |
| abstract_inverted_index.oil | 16, 64, 81, 185 |
| abstract_inverted_index.the | 5, 12, 27, 37, 53, 59, 72, 93, 122, 134, 137, 147, 160, 163, 167, 173, 180, 188 |
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| abstract_inverted_index.(VR) | 98 |
| abstract_inverted_index.When | 109 |
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| abstract_inverted_index.this | 87 |
| abstract_inverted_index.time | 45 |
| abstract_inverted_index.well | 36 |
| abstract_inverted_index.when | 103 |
| abstract_inverted_index.Prior | 1 |
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| abstract_inverted_index.forms | 152 |
| abstract_inverted_index.helps | 85 |
| abstract_inverted_index.mixed | 110 |
| abstract_inverted_index.oxide | 106 |
| abstract_inverted_index.study | 91 |
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| abstract_inverted_index.using | 166 |
| abstract_inverted_index.wedge | 120 |
| abstract_inverted_index.which | 84, 100 |
| abstract_inverted_index.(DEs). | 157 |
| abstract_inverted_index.affect | 80 |
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| abstract_inverted_index.effect | 33 |
| abstract_inverted_index.fluid, | 99 |
| abstract_inverted_index.model. | 139 |
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| abstract_inverted_index.effects | 54 |
| abstract_inverted_index.energy, | 128 |
| abstract_inverted_index.entropy | 102 |
| abstract_inverted_index.greatly | 10 |
| abstract_inverted_index.improve | 11 |
| abstract_inverted_index.method. | 170 |
| abstract_inverted_index.present | 172 |
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| abstract_inverted_index.results | 161, 177, 190 |
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| abstract_inverted_index.Abstract | 0 |
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| abstract_inverted_index.analyses | 51 |
| abstract_inverted_index.emerging | 181 |
| abstract_inverted_index.enhanced | 15, 184 |
| abstract_inverted_index.enormous | 32 |
| abstract_inverted_index.entropy, | 129 |
| abstract_inverted_index.forecast | 71 |
| abstract_inverted_index.graphene | 105 |
| abstract_inverted_index.improved | 63 |
| abstract_inverted_index.methods, | 18 |
| abstract_inverted_index.methods. | 66 |
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| abstract_inverted_index.overcome | 86 |
| abstract_inverted_index.present, | 117 |
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| abstract_inverted_index.Chebyshev | 168 |
| abstract_inverted_index.equations | 132, 156, 165 |
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| abstract_inverted_index.especially | 19 |
| abstract_inverted_index.foundation | 135 |
| abstract_inverted_index.injection. | 22 |
| abstract_inverted_index.laboratory | 50 |
| abstract_inverted_index.nanofluids | 76 |
| abstract_inverted_index.propagate. | 125 |
| abstract_inverted_index.similarity | 143 |
| abstract_inverted_index.beneficial. | 192 |
| abstract_inverted_index.collocation | 169 |
| abstract_inverted_index.continuity, | 127 |
| abstract_inverted_index.difficulty. | 88 |
| abstract_inverted_index.effectively | 70 |
| abstract_inverted_index.efficiency, | 83 |
| abstract_inverted_index.parameters. | 182 |
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| abstract_inverted_index.investigates | 92 |
| abstract_inverted_index.mathematical | 149 |
| abstract_inverted_index.Computational | 67 |
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| abstract_inverted_index.effectiveness | 60 |
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| abstract_inverted_index.nanoparticles. | 108 |
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| abstract_inverted_index.characteristics | 25, 57, 74 |
| abstract_inverted_index.nanofluid-based | 62 |
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| corresponding_author_ids | https://openalex.org/A5074793579 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I27765905 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.98473024 |
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| citation_normalized_percentile.is_in_top_10_percent | True |