Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling

Article Properties
Cite
Zhang, Yanfen, and Dean S. Oliver. “Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling”. Mathematical Geosciences, vol. 42, no. 3, 2010, pp. 327-45, https://doi.org/10.1007/s11004-010-9267-8.
Zhang, Y., & Oliver, D. S. (2010). Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling. Mathematical Geosciences, 42(3), 327-345. https://doi.org/10.1007/s11004-010-9267-8
Zhang, Yanfen, and Dean S. Oliver. “Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling”. Mathematical Geosciences 42, no. 3 (2010): 327-45. https://doi.org/10.1007/s11004-010-9267-8.
Zhang Y, Oliver DS. Improving the Ensemble Estimate of the Kalman Gain by Bootstrap Sampling. Mathematical Geosciences. 2010;42(3):327-45.
Journal Categories
Science
Geology
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
10.2118/117274-PA SPE Journal
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products
2009
Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter Physica D: Nonlinear Phenomena
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases
  • Science: Physics
  • Science: Mathematics
  • Science: Physics
214 2007
10.1175/MWR3333.1 2007
Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
228 2007
10.1175/MWR-2864.1 2005
Refrences Analysis
The category Science: Geology: Petrology 1 is the most frequently represented among the references in this article. It primarily includes studies from SPE Journal and Journal of the American Statistical Association. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Deep learning-aided image-oriented history matching of geophysical data Computational Geosciences
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Geology
  • Science: Geology
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Data-driven model predictive control for closed-loop refracturing design and optimization in naturally fractured shale gas reservoir under geological uncertainty Computers & Chemical Engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Chemical technology: Chemical engineering
  • Technology: Chemical technology: Chemical engineering
  • Science: Chemistry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2023
Structural geologic modeling and restoration using ensemble Kalman inversion Journal of Structural Geology
  • Science: Geology
  • Science: Geology
  • Science: Geology
2023
Bagging-based cross-media retrieval algorithm Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2022
Feature-based ensemble history matching in a fractured carbonate reservoir using time-lapse deep electromagnetic tomography Journal of Petroleum Science and Engineering
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products
  • Science: Geology
2 2022
Citations Analysis
Category Category Repetition
Science: Geology27
Science: Mathematics: Instruments and machines: Electronic computers. Computer science13
Science: Geology: Petrology11
Science: Geology: Mineralogy11
Technology: Chemical technology: Oils, fats, and waxes: Petroleum refining. Petroleum products11
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade8
Technology: Engineering (General). Civil engineering (General)5
Science: Physics: Meteorology. Climatology4
Geography. Anthropology. Recreation: Environmental sciences3
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)3
Technology: Environmental technology. Sanitary engineering3
Science: Mathematics3
Science: Biology (General): Ecology2
Technology: Chemical technology: Chemical engineering2
Science: Chemistry2
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Geography. Anthropology. Recreation: Oceanography2
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Science: Physics: Electricity and magnetism: Electricity: Plasma physics. Ionized gases1
Science: Physics1
The category Science: Geology 27 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Recent progress on reservoir history matching: a review and was published in 2010. The most recent citation comes from a 2023 study titled Deep learning-aided image-oriented history matching of geophysical data. This article reached its peak citation in 2011, with 5 citations. It has been cited in 19 different journals, 15% of which are open access. Among related journals, the Computational Geosciences cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year