K
Kai Zhang
Researcher at China University of Petroleum
Publications - 414
Citations - 6148
Kai Zhang is an academic researcher from China University of Petroleum. The author has contributed to research in topics: Computer science & Geology. The author has an hindex of 31, co-authored 303 publications receiving 3787 citations. Previous affiliations of Kai Zhang include Wuhan University of Science and Technology & Shandong University.
Papers
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Calibrate complex fracture model for subsurface flow based on Bayesian formulation
Liming Zhang,Ji Qi,Kai Zhang,Lixin Li,Xiaoming Zhang,Haiyang Wu,Miguel Tome Chipecane,Jun Yao +7 more
TL;DR: The Bayesian formulation is used to quantify the uncertainty of fracture properties and it is demonstrated the suitability and effectiveness of the Bayesian formulations for calibrating the complex fracture model in the following simulation.
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Dynamic Real-time Optimization of Reservoir Production
TL;DR: The real-time dynamic control strategy is studied to work out development plans scientifically and make better economic profits in this paper.
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The prediction of reservoir production based proxy model considering spatial data and vector data
Kai Zhang,Jens Schlieter,Xiaoya Wang,Xiaopeng Ma,Jian Wang,Yongfei Yang,Liming Zhang,Jun Yao +7 more
TL;DR: Wang et al. as mentioned in this paper proposed a proxy model for forecasting saturation and pressure maps in heterogeneous reservoirs during water flooding, which can predict fluid saturation, pressure and well rates with similar accuracy and less time-cost.
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Competitive Adsorption of CO2 over N2 in Asphaltene Slit Nanopores Studied by Molecular Simulation
TL;DR: In this article, asphaltene-based slit nanopores were used to simulate capturing of CO2 from flue gas, and strong competitive adsorption was found in a broad range of temperatures and pressures, and it was found that the temperature plays an important role on the competitive adorptio...
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Hybrid multiscale method for numerical modeling of coupled flow and geomechanics
TL;DR: A hybrid multiscale algorithm is developed for solving coupled flow and geomechanics problems and is appealing for its advantage of solving coarse-scale problems while capturing fine-scale information.