Haotian Zhang

Haotian Zhang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Haotian Zhang has a total of 42 co-authors. Here are the top co-authors by number of shared publications:

  • Huatian Tu

    Department of Optical Science and Engineering, Key Laboratory of Micro and Nano Photonic Structures, Ministry of Education, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Fudan University, Shanghai 200433, China

    2 shared publications
  • Rongjun Zhang

    College of Petroleum Engineering, Xi’an Shiyou University, Xi’an, China

    2 shared publications
  • Songyou Wang

    Shanghai Ultra-Precision Optical Manufacturing Engineering Center and Department of Optical Science and Engineering, Fudan University, Shanghai 200433, China

    2 shared publications
  • Yao Chen

    Attending Doctor, Department of Internal Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan Province, China

    2 shared publications
  • Yao Shan

    Key Laboratory of Materials for High Power Laser, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

    2 shared publications
  • Young Pak Lee

    Hanyang University

    2 shared publications

Latest Publications

  • Open Access

    Smooth Tensor Multi-View Clustering on Well Logs via Hypergraph Topology and Concurrent Group Sparsity

    by Shengjiang Xu, Liwei Wang, Long Tian, Yinming Zhong, Junshan Wang, Wei Guo, Haotian Zhang

    Multi-view clustering has emerged as a powerful approach to geological facies characterization because it can integrate heterogeneous well-log sequences. However, real-world well-log data are susceptible to severe localized environmental disturbances, such as borehole collapse. Moreover, conventional pairwise graph methods fail to capture the inherent high-order semantic correlations in sequential petrophysical data, whereas standard tensor methods indiscriminately retain high-frequency structural noise. To address these limitations, we propose Smooth Tensor Multi-View Clustering on Well Logs via Hypergraph Topology and Concurrent Group Sparsity (HTCGS). First, HTCGS introduces a source-view hypergraph topology-injection mechanism that propagates high-order geological manifold structures across heterogeneous modalities, thereby enabling robust geometric prealignment. Second, it employs a cross-view concurrent joint-group-sparsity regularizer that uses an ℓ2,1-norm penalty to separate localized anomalies into an explicit cross-view error matrix, thereby preserving the latent subspace. Finally, HTCGS applies the Smooth Tensor Nuclear Norm (STNN) to the purified latent features, which acts as a low-pass tensor filter to extract global consensus information reflecting macroscopic geological continuity. The resulting unified objective is efficiently optimized using the Alternating Direction Method of Multipliers (ADMM). Extensive experiments on five benchmark datasets, comprising four well-log datasets and one seismic-facies dataset, show that HTCGS outperforms six recent representative multi-view clustering baselines.

  • Open Access

    Fracture response patterns in deep to ultra-deep tight sandstones: A comparison based on core and borehole images

    by Yu Du, Hu-Cheng Deng, Xiao-Fei Hu, Hao-Tian Zhang, Hong-Hui Wang, Cui-Li Wang, Mao-Xin Liu, Chen-Yang Zhao, Shang-Rong Guo, Zi-Yun Zheng


  • Open Access

    Experimental Optimization of High-Temperature-Resistant and Low Oil—Water Ratio High-Density Oil-Based Drilling Fluid

    by Zhenzhen Shen, Heng Zhang, Xingying Yu, Mingwei Wang, Chaoli Gao, Song Li, Haotian Zhang

    Problems such as well loss and collapses in deep shale gas drilling are most often due to the development of cracks in the shale formation, resulting in significant leaks of drilling fluid, the sticking and burrowing of drilling tools, and other engineering accidents. In addition, the horizontal sections of wells are very long and issues of friction, rock transport, and formation contamination loom large. As a result, the performance of drilling fluids directly affects drilling efficiency, engineering accident rates, and reservoir protection effects. We first analyze the mechanisms of each emulsifier in an oil-based drilling fluid formulation and the filtration reduction mechanisms, taking into account the collapse-prone and abnormally high-pressure characteristics of shale formations. We undertake an experimental evaluation and optimization of polymeric surfactants, such as primary and secondary emulsions for high-performance oil-based drilling fluids. The design of rigid and deformable nano-micron plugging materials with a reasonable particle size range was achieved, and we obtained a low Oil—Water ratio and high-density oil-based drilling fluid system, with temperature resistance of 200 °C, an Oil—Water ratio as low as 70:30, compressive fracturing fluid pollution of 10%, and a maximum density of 2.6 g/cm3. The reuse rate reached 100%. The developed oil-based drilling fluid system with strong plugging, a high density, and a low Oil—Water ratio suitable for deep shale gas can effectively seal the well wall, reduce liquid invasion, prevent the wall from collapsing, reduce mud leakage, reduce the consumption of oil-based drilling fluid, improve the utilization rate of old mud, and reduce drilling costs.


  • Molecular dynamics study on micro jet in single crystal aluminum

    by Xin Yang, Han Zhao, Xuejun Gao, Gang Lei, Zhenlin Chen


  • High-Performance Ellipsometry With 2-D Expanded Channels for Spectroscopy and Polarization Analysis

    by Huatian Tu, Yuxiang Zheng, Yao Shan, Yao Chen, Haotian Zhang, Pian Liu, Haibin Zhao, Rongjun Zhang, Songyou Wang, Jing Li, et al.

    We constructed and investigated a high-speed broadband spectroscopic ellipsometric system with 12 polarization channels and a 2-D charge-coupled device. The system without any mechanically moving component completes the measurements of more than 10 000 polarization signals at 889 data points in a wavelength range of 400–800 nm within 150 ms, with a spectral resolution better than 1 nm. An integrated analyzer consisting of 12 subanalyzers was employed to obtain the light of different polarization states simultaneously. The spectral distribution of different polarization channels was acquired by the spectral data acquisition system in parallel mode. Two kinds of data processing methods were applied to analyze the light intensities of different channels to obtain the ellipsometric information and other physical parameters of the material over a broad spectral range. According to the analysis of measurement results of gold and silicon bulk, and tantalum pentoxide film, the reliability of the proposed instrument was verified, showing application prospects in the field where in situ spectral monitoring is required.


  • High-accuracy and rapid azimuth calibration for polarizing elements in ellipsometry by differential spectral analysis on the ellipse azimuth

    by Huatian Tu, Yuxiang Zheng, Yao Shan, Yao Chen, Haotian Zhang, Rongjun Zhang, Songyou Wang, YoungPak Lee, Liangyao Chen

    We propose an accurate and rapid azimuth calibration method for polarizing elements in ellipsometry. Over 200 calibrations were achieved simultaneously at different wavelength points in a spectral range of 550–650 nm without any calibrated element. The azimuth of the polarizer was determined from the differential spectral analysis on the ellipse azimuth of reflected light. The information of the ellipse azimuth is experimentally acquired in the spectral range by a rotating polarizing element and a spectrometer. The presented method was performed and verified with Si and Au bulk, respectively, showing reliability and feasibility for efficient and reliable calibration in ellipsometry.


  • Mathematical Model of Acid Wormhole Expansion When Combining Diverting Acid with Solid Diverting Agent

    by Nianyin Li, Jia Kang, Qian Zhang, Yu Wu, Haotian Zhang

    Considering characteristics of complex carbonate reservoirs (e.g., high depth, high temperature, and fracture cave development), this paper simulates expansion of the acid wormhole when combining diverting acid and a solid diverting agent f