Reservoir Engineering and Simulation Methods
Reservoir Engineering and Simulation Methods is a research topic within Ocean Engineering. Science Explorer counts 61k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on advanced techniques in reservoir management, including the use of Ensemble Kalman Filter for data assimilation and model updating, optimization of well placement and production operations, uncertainty quantification in production forecasting, and closed-loop control strategies. The research also covers topics such as smart wells, history matching, and the integration of geological models for improved reservoir characterization.
- Ensemble Kalman Filter
- Optimization
- Data Assimilation
- Well Placement
- Uncertainty Quantification
- Closed-Loop Control
- Smart Wells
- History Matching
- Production Forecasting
- Geological Models
- Research works
- 61k fractional, since 1950
- In the world top 10%
- 6k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +7% the tick is no change
- Largest producer
China
37% of the 10 largest, 2022-now
Which countries lead Reservoir Engineering and Simulation Methods research?
By volume, China and the United States publish the most (2.6k and 1.8k works in 2022-now).
By volume, 2022-now
- 1
China 2.6k works
- 2
United States 1.8k works
- 3
Russia 474 works
- 4
United Kingdom 419 works
- 5
Brazil 369 works
- 6
India 311 works
- 7
Indonesia 296 works
- 8
Nigeria 268 works
- 9
Malaysia 266 works
- 10
Norway 257 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Reservoir Engineering and Simulation Methods research?
By volume in 2022-now, China National Petroleum Corporation (China) publishes the most Reservoir Engineering and Simulation Methods research, followed by Saudi Aramco (Saudi Arabia) and China University of Petroleum, Beijing.
By volume, 2022-now
- 1
China National Petroleum Corporation (China)
China 475 works
- 2
Saudi Aramco (Saudi Arabia)
Saudi Arabia 246 works
- 3
China University of Petroleum, Beijing
China 227 works
- 4
Abu Dhabi National Oil (United Arab Emirates)
United Arab Emirates 194 works
- 5
Daqing Oilfield General Hospital
China 173 works
- 6
Petronas (Malaysia)
Malaysia 164 works
- 7
China University of Petroleum, East China
China 136 works
- 8
Sinopec (China)
China 117 works
- 9
Southwest Petroleum University
China 108 works
- 10
Petrobras (Brazil)
Brazil 107 works
Who are the leading researchers in Reservoir Engineering and Simulation Methods?
The most-cited researchers publishing on Reservoir Engineering and Simulation Methods include Yoshua Bengio, Reza Malekzadeh and Philippe Ciais.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Reza Malekzadeh
Iran 278k citations
- 3
Philippe Ciais
France 237k citations
- 4
P. Jackson
France 230k citations
- 5
Vladimir N. Vapnik
United States 227k citations
- 6
Kai You Wang
China 224k citations
- 7
Patrick W.J.C. Serruys
Netherlands 206k citations
- 8
Guangming Zeng
China 204k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Reservoir Engineering and Simulation Methods research done?
The largest centres of Reservoir Engineering and Simulation Methods research in 2022-now are Beijing (China), Houston (United States), Daqing (China) and Abu Dhabi (United Arab Emirates). Among places with at least 20 works in it, it is an unusually large share of all research in Road Town, Arbroath and San Ramon.
Largest cities, 2022-now
- 1
Beijing
China 1.1k works
- 2
Houston
United States 333 works
- 3
Daqing
China 234 works
- 4
Abu Dhabi
United Arab Emirates 232 works
- 5
Chengdu
China 226 works
- 6
Kuala Lumpur
Malaysia 188 works
- 7
Qingdao
China 175 works
- 8
Rio de Janeiro
Brazil 164 works
- 9
Dhahran
Saudi Arabia 160 works
- 10
Moscow
Russia 154 works
Where it is the local speciality
- Road TownVG · 90.7 works309×
- ArbroathGB · 80.0 works298×
- San RamonUS · 33.5 works115×
Location quotient: how much more of its research is in Reservoir Engineering and Simulation Methods than the world average.
Where is the best place to study Reservoir Engineering and Simulation Methods?
Among universities, judged by research, China University of Petroleum, Beijing, China University of Petroleum, East China and King Abdullah University of Science and Technology score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Reservoir Engineering and Simulation Methods, country by countryIs Reservoir Engineering and Simulation Methods research growing?
Output in 2022-2025 was 7% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Reservoir Engineering and Simulation Methods.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Reservoir Engineering and Simulation Methods as a percentage of every work published that year, 0.050% in 2024.
Fractional works of Reservoir Engineering and Simulation Methods over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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