Numerical Simulation Study on the Technology of Different Nature Polymer Injection in Thin and Bad ReservoirNumerical Simulation Study on the Technology of Different Nature Polymer Injection in Thin and Bad Reservoir Article Swipe
Wenlong Zhang
,
Liyan Sun
,
Xiaotong Zhang
,
Jian Wang
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3968/8364
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3968/8364
The thin and poor reservoir , as an important replacement of production decline in the later stage of oilfield development, is gradually becoming the target of three oil recovery due to the large proportion of its reserves. For Class Ⅲ and Class Ⅳ of thin and poor reservoirs with large contradiction between the layers, if the same molecular weight polymer flooding is used to drive oil, it is easy to affect the development effect because of low producing degree of poorly matched reservoir. On the basis of the fine geological model, the water cut and cumulative oil production of the simulated area were fitted by the simulation software of eclipse, and the development effect of different production schemes is analyzed and forecasted. Research results show that the effect of different layer different nature polymer injection is better than that of general polymer injection, and the effect of different stage different nature polymer injection is better than that of the different layer different nature.
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- Type
- article
- Language
- en
- Landing Page
- http://www.cscanada.net/index.php/aped/article/download/8364/pdf
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2467651808Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3968/8364Digital Object Identifier
- Title
-
Numerical Simulation Study on the Technology of Different Nature Polymer Injection in Thin and Bad ReservoirNumerical Simulation Study on the Technology of Different Nature Polymer Injection in Thin and Bad ReservoirWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
- Publication date
-
2016-06-29Full publication date if available
- Authors
-
Wenlong Zhang, Liyan Sun, Xiaotong Zhang, Jian WangList of authors in order
- Landing page
-
https://www.cscanada.net/index.php/aped/article/download/8364/pdfPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.cscanada.net/index.php/aped/article/download/8364/pdfDirect OA link when available
- Concepts
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Petroleum engineering, Water cut, Computer simulation, Polymer, Stage (stratigraphy), Enhanced oil recovery, Eclipse, Reservoir simulation, Oil production, Materials science, Environmental science, Chemical engineering, Geology, Simulation, Engineering, Composite material, Physics, Astronomy, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.easy | 68 |
| abstract_inverted_index.fine | 88 |
| abstract_inverted_index.oil, | 65 |
| abstract_inverted_index.poor | 3, 46 |
| abstract_inverted_index.same | 56 |
| abstract_inverted_index.show | 124 |
| abstract_inverted_index.than | 137, 155 |
| abstract_inverted_index.that | 125, 138, 156 |
| abstract_inverted_index.thin | 1, 44 |
| abstract_inverted_index.used | 62 |
| abstract_inverted_index.were | 102 |
| abstract_inverted_index.with | 48 |
| abstract_inverted_index.Class | 38, 41 |
| abstract_inverted_index.basis | 85 |
| abstract_inverted_index.drive | 64 |
| abstract_inverted_index.large | 32, 49 |
| abstract_inverted_index.later | 15 |
| abstract_inverted_index.layer | 130, 160 |
| abstract_inverted_index.stage | 16, 148 |
| abstract_inverted_index.three | 26 |
| abstract_inverted_index.water | 92 |
| abstract_inverted_index. the | 111 |
| abstract_inverted_index.affect | 70 |
| abstract_inverted_index.better | 136, 154 |
| abstract_inverted_index.degree | 78 |
| abstract_inverted_index.effect | 73, 113, 127, 145 |
| abstract_inverted_index.fitted | 103 |
| abstract_inverted_index.model, | 90 |
| abstract_inverted_index.nature | 132, 150 |
| abstract_inverted_index.poorly | 80 |
| abstract_inverted_index.target | 24 |
| abstract_inverted_index.weight | 58 |
| abstract_inverted_index.because | 74 |
| abstract_inverted_index.between | 51 |
| abstract_inverted_index.decline | 12 |
| abstract_inverted_index.general | 140 |
| abstract_inverted_index.layers, | 53 |
| abstract_inverted_index.matched | 81 |
| abstract_inverted_index.nature. | 162 |
| abstract_inverted_index.polymer | 59, 133, 141, 151 |
| abstract_inverted_index.results | 123 |
| abstract_inverted_index.schemes | 117 |
| abstract_inverted_index.Research | 122 |
| abstract_inverted_index.analyzed | 119 |
| abstract_inverted_index.becoming | 22 |
| abstract_inverted_index.eclipse, | 109 |
| abstract_inverted_index.flooding | 60 |
| abstract_inverted_index.oilfield | 18 |
| abstract_inverted_index.recovery | 28 |
| abstract_inverted_index.software | 107 |
| abstract_inverted_index.different | 115, 129, 131, 147, 149, 159, 161 |
| abstract_inverted_index.gradually | 21 |
| abstract_inverted_index.important | 8 |
| abstract_inverted_index.injection | 134, 152 |
| abstract_inverted_index.molecular | 57 |
| abstract_inverted_index.producing | 77 |
| abstract_inverted_index.reserves. | 36 |
| abstract_inverted_index.reservoir | 4 |
| abstract_inverted_index.simulated | 100 |
| abstract_inverted_index.cumulative | 95 |
| abstract_inverted_index.geological | 89 |
| abstract_inverted_index.injection, | 142 |
| abstract_inverted_index.production | 11, 97, 116 |
| abstract_inverted_index.proportion | 33 |
| abstract_inverted_index.reservoir. | 82 |
| abstract_inverted_index.reservoirs | 47 |
| abstract_inverted_index.simulation | 106 |
| abstract_inverted_index.development | 72, 112 |
| abstract_inverted_index.forecasted. | 121 |
| abstract_inverted_index.replacement | 9 |
| abstract_inverted_index.development, | 19 |
| abstract_inverted_index.contradiction | 50 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.03711895 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |