常海滨｜中国矿业大学(北京)｜学者主页

2026

某储气库高采出量工况下乙二醇损耗机理分析及采气工艺优化研究

周芷名，陈倩岚，李炜，赵昕铭，卢超，刘羿鸣，常海滨，伍泓毓，宫敬，温凯

《石油科学通报》

2025

地下储气库数字孪生框架设计

常海滨，多堂坤，赵昕铭，白宸冰，孟涛，温凯

《钻采工艺》

2025

Optimization of the injection-production process of underground gas storage in depleted gas reservoir

Haibin Chang, Tang Duo, Bei Li, K. Wen, Tao Meng, Chenbing Bai, Hongwei Zhang

Gas Science and Engineering

DOI

2025

Data assimilation of multi-stage fractured horizontal well in unconventional oil and gas reservoir: Field case study

Haibin Chang, Chenglu Dai, Bing-Yu Ji, Hongwei Zhang

Geoenergy Science and Engineering

DOI

2023

Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-net

Tianhao He, Haibin Chang, Dongxiao Zhang

Stochastic Environmental Research and Risk Assessment

DOI

2023

Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network

Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang

Computational Geosciences

DOI

2023

Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

Water Resources Research

DOI

2023

Identification of a soil water flow equation using a two-step data-driven method

Yakun Wang, Qiuru Zhang, Liangsheng Shi, Haibin Chang, Wenxiang Song, Lin Lin, Xiaolong Hu, Xiaotao Hu

Journal of Hydrology

DOI

2023

Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability

Nanzhe Wang, Haibin Chang, Xiang‐Zhao Kong, Dongxiao Zhang

Renewable Energy

DOI

2023

Editorial: Applications of artificial intelligence in the oil and gas industry

Qinzhuo Liao, Daolun Li, Kai Zhang, Haibin Chang

Frontiers in Earth Science

DOI

2022

Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

Journal of Computational Physics

DOI

2022

Efficient well placement optimization based on theory-guided convolutional neural network

Nan-Zhe Wang, Haibin Chang, Dong-Xiao Zhang, Liang Xue, Yun-Tian Chen

Journal of Petroleum Science and Engineering

DOI

2020

Deep‐Learning‐Based Inverse Modeling Approaches: A Subsurface Flow Example

Nan-Zhe Wang, Haibin Chang, Dongxiao Zhang

Journal of Geophysical Research - Solid Earth

DOI

2020

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network

Nan-Zhe Wang, Haibin Chang, Dongxiao Zhang

Computer Methods in Applied Mechanics and Engineering

DOI

2020

Data assimilation of subsurface flow via iterative ensemble smoother and physics-informed neural network

Nan-Zhe Wang, Haibin Chang

DOI

2020

Recognize the Spatial Extent and Properties of the Hydraulic Fracture Network with Multiple Data

C. Dai, Haibin Chang, Si-Dong Fang

DOI

2020

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

Hao Xu, Haibin Chang, Dongxiao Zhang

Journal of Computational Physics

DOI

2020

Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling

Nan-Zhe Wang, Haibin Chang, Dongxiao Zhang

arXiv.org

DOI

2019

Deep Learning of Subsurface Flow via Theory-guided Neural Network

Nan-Zhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li

Journal of Hydrology

DOI

2019

Ensemble Neural Networks (ENN): A gradient-free stochastic method

Yun-Tian Chen, Haibin Chang, J. Meng, Dongxiao Zhang

Neural Networks

DOI

2019

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data

Hao Xu, Haibin Chang, Dongxiao Zhang

Communications in Computational Physics

DOI

2019

Efficient History Matching Using the Markov-Chain Monte Carlo Method by Means of the Transformed Adaptive Stochastic Collocation Method

Q. Liao, L. Zeng, Haibin Chang, Dongxiao Zhang

SPE Journal

DOI

2019

Machine learning subsurface flow equations from data

Haibin Chang, Dongxiao Zhang

Computational Geosciences

DOI

2019

An Integrated Approach for History Matching of Multiscale-Fracture Reservoirs

M. Yao, Haibin Chang, Xiang Li, Dongxiao Zhang

SPE Journal

DOI

2018

Tuning Fractures With Dynamic Data

M. Yao, Haibin Chang, Xiang Li, Dongxiao Zhang

DOI

2018

Identification of physical processes via combined data-driven and data-assimilation methods

Haibin Chang, Dongxiao Zhang

Journal of Computational Physics

DOI

2017

Surrogate model based iterative ensemble smoother for subsurface flow data assimilation

Haibin Chang, Q. Liao, Dongxiao Zhang

DOI

2017

History Matching of Stimulated Reservoir Volume of Shale-Gas Reservoirs Using an Iterative Ensemble Smoother

Haibin Chang, Dongxiao Zhang

DOI

2015

Jointly updating the mean size and spatial distribution of facies in reservoir history matching

Haibin Chang, Dongxiao Zhang

Computational Geosciences

DOI

2015

Benchmark problems for subsurface flow uncertainty quantification

Haibin Chang, Q. Liao, Dongxiao Zhang

DOI

2014

History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique

Haibin Chang, Dongxiao Zhang

Computational Geosciences

DOI

2014

History matching of facies distribution with varying mean lengths or different principle correlation orientations

Haibin Chang, Dongxiao Zhang

DOI

2011

A Probabilistic Collocation-Based Kalman Filter for History Matching

L. Zeng, Haibin Chang, Dongxiao Zhang

DOI

2011

History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation based Kalman Filter

Dongxiao Zhang, Heng Li, Haibin Chang

Annual Simulation Symposium

DOI

2010

A comparative study of numerical approaches to risk assessment of contaminant transport

Dongxiao Zhang, Liang-Sheng Shi, Haibin Chang, Jin-Zhong Yang

DOI

2010

Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter

Haibin Chang, Yan Chen, Dongxiao Zhang

DOI

2010

History matching of facies distribution with the EnKF and level set parameterization

Haibin Chang, Dongxiao Zhang, Zhi-Ming Lu

Journal of Computational Physics

DOI

2009

Data Assimilation of Coupled Fluid Flow and Geomechanics via Ensemble Kalman Filter

Haibin Chang, Yan Chen, Dongxiao Zhang

DOI

2009

Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations

Heng Li, Haibin Chang, Dongxiao Zhang

DOI

2009

A Comparative Study of Stochastic Collocation Methods for Flow in Spatially Correlated Random Fields

Haibin Chang, Dongxiao Zhang

Communications in Computational Physics

DOI

2008

Non-intrusive Stochastic Approaches for Efficient Quantification of Uncertainty Associated with Reservoir Simulations

Dongxiao Zhang, Heng Li, Haibin Chang, G. Yan

DOI

精选作品

期刊论文

某储气库高采出量工况下乙二醇损耗机理分析及采气工艺优化研究

地下储气库数字孪生框架设计

Optimization of the injection-production process of underground gas storage in depleted gas reservoir

Data assimilation of multi-stage fractured horizontal well in unconventional oil and gas reservoir: Field case study

Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-net

Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network

Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies

Identification of a soil water flow equation using a two-step data-driven method

Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability

Editorial: Applications of artificial intelligence in the oil and gas industry

Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network

Efficient well placement optimization based on theory-guided convolutional neural network

Deep‐Learning‐Based Inverse Modeling Approaches: A Subsurface Flow Example

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network

Data assimilation of subsurface flow via iterative ensemble smoother and physics-informed neural network

Recognize the Spatial Extent and Properties of the Hydraulic Fracture Network with Multiple Data

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling

Deep Learning of Subsurface Flow via Theory-guided Neural Network

Ensemble Neural Networks (ENN): A gradient-free stochastic method

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data

Efficient History Matching Using the Markov-Chain Monte Carlo Method by Means of the Transformed Adaptive Stochastic Collocation Method

Machine learning subsurface flow equations from data

An Integrated Approach for History Matching of Multiscale-Fracture Reservoirs

Tuning Fractures With Dynamic Data

Identification of physical processes via combined data-driven and data-assimilation methods

Surrogate model based iterative ensemble smoother for subsurface flow data assimilation

History Matching of Stimulated Reservoir Volume of Shale-Gas Reservoirs Using an Iterative Ensemble Smoother

Jointly updating the mean size and spatial distribution of facies in reservoir history matching

Benchmark problems for subsurface flow uncertainty quantification

History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique

History matching of facies distribution with varying mean lengths or different principle correlation orientations

A Probabilistic Collocation-Based Kalman Filter for History Matching

History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation based Kalman Filter

A comparative study of numerical approaches to risk assessment of contaminant transport

Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter

History matching of facies distribution with the EnKF and level set parameterization

Data Assimilation of Coupled Fluid Flow and Geomechanics via Ensemble Kalman Filter

Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations

A Comparative Study of Stochastic Collocation Methods for Flow in Spatially Correlated Random Fields

Non-intrusive Stochastic Approaches for Efficient Quantification of Uncertainty Associated with Reservoir Simulations

会议论文

储气库地面工程智能导航系统设计

研究方向