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Enhanced Oil Recovery Techniques

Enhanced Oil Recovery Techniques is a research topic within Ocean Engineering. Science Explorer counts 37k research works in it since 1950. 20.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of advanced imaging techniques such as X-ray computed tomography for pore-scale modeling and analysis in the context of enhanced oil recovery. It explores methods for wettability alteration, the use of nanofluids and surfactants, and the application of foam for improved recovery in porous media and reservoir rocks.

  • X-ray Computed Tomography
  • Pore-scale Modeling
  • Enhanced Oil Recovery
  • Wettability Alteration
  • Nanofluids
  • Surfactants
  • Porous Media
  • Reservoir Rock
  • Microstructure Reconstruction
  • Foam Assisted Recovery
Research works
37k
fractional, since 1950
In the world top 10%
7.5k
per year above
Top-10% rate
20.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+43%
the tick is no change

Which countries lead Enhanced Oil Recovery Techniques research?

By volume, China and the United States publish the most (3.1k and 767 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.1k works
  2. 2 United States 767 works
  3. 3 Iran 329 works
  4. 4 Russia 306 works
  5. 5 India 277 works
  6. 6 Canada 272 works
  7. 7 Saudi Arabia 222 works
  8. 8 United Kingdom 191 works
  9. 9 Brazil 178 works
  10. 10 France 154 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 53.9%United States: 13.1%Iran: 5.6%Russia: 5.2%6 others listed: 22.1%54%largest
China3,149 · 53.9%United States767 · 13.1%Iran329 · 5.6%Russia306 · 5.2%6 others listed1,293 · 22.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Enhanced Oil Recovery Techniques research?

By volume in 2022–2025, China University of Petroleum, East China publishes the most Enhanced Oil Recovery Techniques research, followed by China University of Petroleum, Beijing and Research Institute of Petroleum Exploration and Development.

Who are the leading researchers in Enhanced Oil Recovery Techniques?

The most-cited researchers publishing on Enhanced Oil Recovery Techniques include Huan Liu.

  1. 1 Huan Liu Australia 4.9k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Enhanced Oil Recovery Techniques research done?

The largest centres of Enhanced Oil Recovery Techniques research in 2022–2025 are Beijing (China), Qingdao (China), Chengdu (China) and Daqing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xinjiang, Daqing and Dhahran.

Largest cities, 2022–2025

  1. 1 Beijing China 1.1k works
  2. 2 Qingdao China 360 works
  3. 3 Chengdu China 307 works
  4. 4 Daqing China 223 works
  5. 5 Tehran Iran 178 works
  6. 6 Xi'an China 160 works
  7. 7 Dhahran Saudi Arabia 154 works
  8. 8 Houston United States 113 works
  9. 9 Abu Dhabi United Arab Emirates 96 works
  10. 10 Moscow Russia 87 works

Where it is the local speciality

  1. XinjiangCN · 23.1 works168×
  2. DaqingCN · 222.9 works111×
  3. DhahranSA · 153.6 works44×
  4. JingzhouCN · 77.7 works41×
← less than its size predictsmore →

Location quotient: how much more of its research is in Enhanced Oil Recovery Techniques than the world average.

See Enhanced Oil Recovery Techniques on the map

Where is the best place to study Enhanced Oil Recovery Techniques?

Among universities, judged by research, King Fahd University of Petroleum and Minerals, Persian Gulf University and Edith Cowan University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%60%mean 36.33%fractional works in this node (log) →share in the world top 10% →King Fahd University of Petroleum and Minerals: 103, 26.9%Persian Gulf University: 10, 49.3%Edith Cowan University: 14, 55.2%China University of Petroleum, East China: 309, 22.4%Indian Institute of Technology Dhanbad: 21, 40.2%Tarbiat Modares University: 25, 35.0%King Abdullah University of Science and Technology: 33, 26.0%Missouri University of Science and Technology: 17, 31.7%Ilam University: 10, 56.6%Universiti Teknologi Petronas: 42, 20.0%Edith Cowan UniversityPersian Gulf Univers…King Fahd University…China University of …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 King Fahd University of Petroleum and MineralsSaudi Arabia 73.126.9%39.6×103 +295.3%
2 Persian Gulf UniversityIran 71.549.3%34.6×10 +272.9%
3 Edith Cowan UniversityAustralia 68.555.2%14.1×14
4 China University of Petroleum, East ChinaChina 67.422.4%87.5×309 +106.4%
5 Indian Institute of Technology DhanbadIndia 67.340.2%13.6×21 +193.0%
6 Tarbiat Modares UniversityIran 67.135.0%11.6×25 +206.0%
7 King Abdullah University of Science and TechnologySaudi Arabia 64.426.0%15.8×33 +138.3%
8 Missouri University of Science and TechnologyUnited States 64.331.7%19.9×17 +265.5%
9 Ilam UniversityIran 63.856.6%26.2×10
10 Universiti Teknologi PetronasMalaysia 61.620.0%36.6×42 +140.5%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Enhanced Oil Recovery Techniques research growing?

Output in 2018–2022 was 43% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Enhanced Oil Recovery Techniques.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.