Jian Wang
China University of Petroleum
AlgorithmMathematical optimizationFeature selectionGradient descentFractional calculusArtificial intelligenceBackpropagationGeneralizationError functionExtreme learning machineApplied mathematicsMathematicsSmoothingComputer scienceFeedforward neural networkArtificial neural networkFixed pointConvergence (routing)Conjugate gradient methodRegularization (mathematics)
65Publications
15H-index
829Citations
Publications 138
Newest
#1Jian Wang (China University of Petroleum)H-Index: 15
#2Qin Chang (China University of Petroleum)H-Index: 3
Last. Nikhil R. Pal (ISI: Indian Statistical Institute)H-Index: 64
view all 5 authors...
Abstract null null In this paper, we first define a measure of statistical sensitivity of a zero-order Takagi-Sugeno (TS) fuzzy neural network (FNN) with respect to perturbation of weights and parameters of the system. Then we derive measures of sensitivity of the system with respect to additive and multiplicative noises to the consequent parameters. For this we consider a multiple-input multiple-output (MIMO) FNN. The derivation can be easily extended to sensitivity with respect to other parame...
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#1Zhong Chao (China University of Petroleum)
#2Kai Zhang (China University of Petroleum)H-Index: 29
Last. Weidong Zhang (China University of Petroleum)H-Index: 5
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Abstract null null Data-driven surrogate models, which are trained by samples to replace time-consuming numerical simulations, have been widely used to solve production optimization problems in recent years. It is a challenging and meaningful subject to research advanced surrogate-model-based methods that can obtain superior optimization performance within a limited time budget. The key is to enhance the quality of each training sample, i.e., the contribution of each sample to the overall optimi...
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#1Kai Zhang (China University of Petroleum)H-Index: 29
#2Xiaoya Wang (China University of Petroleum)
Last. Jun Yao (China University of Petroleum)H-Index: 52
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Abstract null null Reservoir modeling data could be divided into two categories: spatial data (i.e. permeability, effective grids, crack, irregular boundaries) and vector data (fluid properties i.e. relative permeability, density, viscosity). This paper is mainly interested in considering the permeability and relative permeability, which are the representatives of the two data types, to construct a proxy model for forecasting saturation and pressure maps in heterogeneous reservoirs during water ...
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#1Kai Zhang (China University of Petroleum)H-Index: 29
#2Xinggang Zhao (China University of Petroleum)H-Index: 4
Last. Guodong Zhang (China University of Petroleum)H-Index: 1
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Abstract null null Recently, evolutionary algorithms (EAs) are becoming more and more popular in oil industry. It should be noted that the existence of various state constraints largely decreases the efficiency of EAs. In this paper, a double-model differential evolution (CSDE) is proposed for waterflooding production optimization with nonlinear inequality constraints. There are two main stages in CSDE: 1) the boundary of feasible region is explicitly constructed by a classifier, support vector ...
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#1Kai Zhang (Qingdao University)H-Index: 29
#2Zhongzheng Wang (China University of Petroleum)
Last. Jun Yao (China University of Petroleum)H-Index: 52
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Abstract null null Life-cycle production optimization aims to obtain the optimal well control scheme at each time control step to maximize financial profit and hydrocarbon production. However, searching for the optimal policy under the limited number of simulation evaluations is a challenging task. In this paper, a novel production optimization method is presented, which maximizes the net present value (NPV) over the entire life-cycle and achieves real-time well control scheme adjustment. The pr...
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#2Jian Wang (DUT: Dalian University of Technology)H-Index: 15
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#1Kai Zhang (China University of Petroleum)H-Index: 29
#2Yu Haiqun (China University of Petroleum)
Last. Jun Yao (China University of Petroleum)H-Index: 52
view all 9 authors...
Abstract null null For reservoirs with complex non-Gaussian geological characteristics, such as carbonate reservoirs or reservoirs with sedimentary facies distribution, it is difficult to implement history matching directly, especially for the ensemble-based data assimilation methods. In this paper, we propose a multi-source information fused generative adversarial network (MSIGAN) model, which is used for parameterization of the complex geologies. In MSIGAN, various information such as facies d...
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#1Jun Yao (China University of Petroleum)H-Index: 52
#2Yandong Nie (China University of Petroleum)H-Index: 1
Last. Yongfei Yang (China University of Petroleum)H-Index: 24
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Abstract The economic and efficient development of petroleum resources can be realized by dynamically adjusting the reservoir development scheme for the sake of higher recovery efficiency with low development cost. As an important part of the closed-loop reservoir management (CLRM), production optimization has gained increasing research interests. A number of sophisticated production optimization techniques have been proposed in the recent years. It is noteworthy that almost all of these existin...
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#1Haifeng Liu (DUT: Dalian University of Technology)H-Index: 1
#2Hongfei Lin (DUT: Dalian University of Technology)H-Index: 45
Last. Yuanyuan Sun (DUT: Dalian University of Technology)H-Index: 28
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The coronavirus disease 2019 (COVID-19) has outbreak since early December 2019, and COVID-19 has caused over 100 million cases and 2 million deaths around the world. After one year of the COVID-19 outbreak, there is no certain and approve medicine against it. Drug repositioning has become one line of scientific research that is being pursued to develop an effective drug. However, due to the lack of COVID-19 data, there is still no specific drug repositioning targeting the COVID-19. In this paper...
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#5Jian Wang (DUT: Dalian University of Technology)H-Index: 15
Abstract Identifying adverse drug reaction (ADR) entities from texts is a crucial task for pharmacology, and it is the basis for the ADR relation extraction task. The publicly available resources on this task include PubMed abstracts, social media, and other resources. Among these resources, social media data can reflect the reactions of drug users after taking medicine in real-time and update quickly. However, a very small quantity of annotated social media data leads to less research on these ...
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