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Bo Zhang [35]Boying Zhang [1]Boyu Zhang [1]Boshu Zhang [1]
Bo-wei Zhang [1]Boyang Zhang [1]Boming Zhang [1]
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Bo Zhang
Yale University
  1.  38
    Brittleness Evaluation of Resource Plays by Integrating Petrophysical and Seismic Data Analysis.Bo Zhang, Tao Zhao, Xiaochun Jin & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (2):T81-T92.
    The main considerations for well planning and hydraulic fracturing in unconventional resources plays include the amount of total organic carbon and how much hydrocarbon can be extracted. Brittleness is the direct measurement of a formation about the ability to create avenues for hydrocarbons when applying hydraulic fracturing. Brittleness can be directly estimated from laboratory stress-strain measurements, rock-elastic properties, and mineral content analysis using petrophysical analysis on well logs. However, the estimated brittleness using these methods only provides “cylinder” estimates near the (...)
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  2.  26
    Attribute Expression of Fault-Controlled Karst — Fort Worth Basin, Texas: A Tutorial.Jie Qi, Bo Zhang, Huailai Zhou & Kurt Marfurt - 2014 - Interpretation: SEG 2 (3):SF91-SF110.
    Much of seismic interpretation is based on pattern recognition, such that experienced interpreters are able to extract subtle geologic features that a new interpreter may easily overlook. Seismic pattern recognition is based on the identification of changes in amplitude, phase, frequency, dip, continuity, and reflector configuration. Seismic attributes, which providing quantitative measures that can be subsequently used in risk analysis and data mining, partially automate the pattern recognition problem by extracting key statistical, geometric, or kinematic components of the 3D seismic (...)
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  3.  25
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Niu Cong, Jie Qi & Huailai Zhou - 2019 - Interpretation 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  4.  41
    Vector Correlation of Amplitude Variation with Azimuth and Curvature in a Post-Hydraulic-Fracture Barnett Shale Survey.Shiguang Guo, Sumit Verma, Qing Wang, Bo Zhang & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB23-SB35.
    Knowledge of induced fractures can help to evaluate the success of reservoir stimulation. Seismic P-waves through fracturing media can exhibit azimuthal variation in traveltime, amplitude, and thin-bed tuning, so amplitude variation with azimuth can be used to evaluate the hydraulic-fracturing-caused anisotropy. The Barnett Shale of the Fort Worth Basin was the first large-scale commercial shale gas play. We have analyzed two adjacent Barnett Shale seismic surveys: one acquired before hydraulic fracturing and the other acquired after hydraulic fracturing by more than (...)
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  5.  21
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Cong Niu, Jie Qi & Huailai Zhou - 2019 - Interpretation: SEG 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  6.  32
    Improving the Quality of Prestack Inversion by Prestack Data Conditioning.Bo Zhang, Deshuang Chang, Tengfei Lin & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (1):T5-T12.
    Prestack seismic inversion techniques provide valuable information of rock properties, lithology, and fluid content for reservoir characterization. The confidence of inverted results increases with increasing incident angle of seismic gathers. The most accurate result of simultaneous prestack inversion of P-wave seismic data is P-impedance. S-impedance estimation becomes reliable with incident angles approaching 30°, whereas density evaluation becomes reliable with incident angles approaching 45°. As the offset increases, we often encounter “hockey sticks” and severe stretch at large offsets. Hockey sticks and (...)
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  7.  23
    Seismic Time-Frequency Decomposition by Using a Hybrid Basis-Matching Pursuit Technique.Xingjian Wang, Bo Zhang, Fangyu Li, Jie Qi & Bo Bai - 2016 - Interpretation: SEG 4 (2):T239-T248.
    Analyzing the time-frequency features of seismic traces plays an important role in seismic stratigraphy analysis and hydrocarbon detection. The current popular time-spectrum analysis methods include short-time Fourier transform, continuous wavelet transform, S-transform, and matching pursuit, among which MP is the most tolerant of the window/scalar effect. However, current MP algorithms do not consider the interfering effects of seismic events on the estimation of optimal wavelets in each decomposition iteration. The interfered reflection seismic events may result in inaccurate estimation of optimal (...)
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  8.  9
    Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation Via Distributed Adaptive Neural Network Iterative Learning Control.Xiongfeng Deng, Xiuxia Sun, Shuguang Liu & Boyang Zhang - 2019 - Complexity 2019:1-13.
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  9.  25
    Noise Suppression of Time-Migrated Gathers Using Prestack Structure-Oriented Filtering.Bo Zhang, Tengfei Lin, Shiguang Guo, Oswaldo E. Davogustto & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG19-SG29.
    Prestack seismic analysis provides information on rock properties, lithology, fluid content, and the orientation and intensity of anisotropy. However, such analysis demands high-quality seismic data. Unfortunately, noise is always present in seismic data even after careful processing. Noise in the prestack gathers may not only contaminate the seismic image, thereby lowering the quality of seismic interpretation, but it may also bias the seismic prestack inversion for rock properties, such as acoustic- and shear-impedance estimation. Common postmigration data conditioning includes running window (...)
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  10.  23
    Seismic Azimuthal Anisotropy Analysis After Hydraulic Fracturing.Kui Zhang, Yanxia Guo, Bo Zhang, Amanda M. Trumbo & Kurt J. Marfurt - 2013 - Interpretation: SEG 1 (2):SB27-SB36.
    Many tight sandstone, limestone, and shale reservoirs require hydraulic fracturing to provide pathways that allow hydrocarbons to reach the well bore. Most of these tight reservoirs are now produced using multiple stages of fracturing through horizontal wells drilled perpendicular to the present-day azimuth of maximum horizontal stress. In a homogeneous media, the induced fractures are thought to propagate perpendicularly to the well, parallel to the azimuth of maximum horizontal stress, thereby efficiently fracturing the rock and draining the reservoir. We evaluated (...)
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  11.  6
    Semiautomated Fault Interpretation Based on Seismic Attributes.Bo Zhang, Yuancheng Liu, Michael Pelissier & Nanne Hemstra - 2014 - Interpretation: SEG 2 (1):SA11-SA19.
    Three-dimensional fault interpretation is a time-consuming and tedious task. Huge efforts have been invested in attempts to accelerate this procedure. We present a novel workflow to perform semiautomated fault illumination that uses a discontinuity attribute as input and provides labeled fault surfaces as output. The procedure is modeled after a biometric algorithm to recognize capillary vein patterns in human fingers. First, a coherence or discontinuity volume is converted to binary form indicating possible fault locations. This binary volume is then skeletonized (...)
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  12.  25
    Facies Analysis by Integrating 3D Seismic Attributes and Well Logs for Prospect Identification and Evaluation — A Case Study From Northwest China.Xingjian Wang, Bo Zhang, Tao Zhao, Junbo Hang, Hao Wu & Ziquan Yong - 2017 - Interpretation: SEG 5 (2):SE61-SE74.
    Characterization of facies within a hydrocarbon reservoir is essential for potential prospect identification and evaluation. We have developed a practical workflow that integrates poststack seismic attributes and well-log facies analysis to understand the development and depositional setting of the Triassic-age Akekule Formation in Tahe field, Northwest China. The workflow begins with sequence and sedimentary cycle analysis on selected benchmark wells. We then identify sand bodies within each sedimentary cycle using well logs. The analysis from well logs and drilling cuttings together (...)
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  13.  9
    Relative P-Impedance Estimation Using a Dipole-Based Matching Pursuit Decomposition Strategy.Xiaotao Wen, Bo Zhang, Wayne Pennington & Zhenhua He - 2015 - Interpretation: SEG 3 (4):T197-T206.
    The P-impedance is one of the most important elastic parameters of rocks, and it is commonly used for reservoir characterization. Conventional P-impedance inversion merges a low-frequency log-based model with a high-frequency seismic-derived model. We have proposed a method to estimate the P-impedance by employing dipole-based matching pursuit decomposition. The matching pursuit decomposes the seismic traces into a superposition of scaled wavelets, and the associated scalar information represents the reflectivity series, which can be integrated for P-impedance estimation. Unfortunately, DMP analysis is (...)
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  14.  2
    Seismic Quality Factor Estimation Using Prestack Seismic Gathers: A Simulated Annealing Approach.Shengjun Li, Bo Zhang, Xueshan Yong & Wang Shangxu - 2020 - Interpretation 8 (2):T441-T451.
    Fluid movement and grain boundary friction are the two main factors affecting the anelastic attenuation of seismic data. The quality factor quantifies the degree of anelastic attenuation and is commonly used in assisting the identification of gas reservoirs. We can accurately compute [Formula: see text] if we obtain the accurate amplitude spectrum of seismic wavelets at refereed and at target time indexes of the seismic profile. However, it is very difficult to obtain the accurate wavelets at the referred and target (...)
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  15.  11
    When Love Meets Money: Priming the Possession of Money Influences Mating Strategies.Yi Ming Li, Jian Li, Darius K.-S. Chan & Bo Zhang - 2016 - Frontiers in Psychology 7.
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  16.  5
    Towards a Further Understanding of Dislocation Pileups in the Presence of Stress Gradients.Dabiao Liu, Yuming He & Bo Zhang - 2013 - Philosophical Magazine 93 (18):2340-2362.
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  17.  7
    Two-Step Joint PP- and PS-Wave Three-Term Amplitude-Variation with Offset Inversion.Qizhen Du, Bo Zhang, Xianjun Meng, Chengfeng Guo, Gang Chen & Guodong Huo - 2016 - Interpretation: SEG 4 (4):T613-T625.
    Three-term amplitude-variation with offset inversion generally suffers from instability when there is limited prior geologic or petrophysical constraints. Two-term AVO inversion shows higher instability compared with three-term AVO inversion. However, density, which is important in the fluid-type estimation, cannot be recovered from two-term AVO inversion. To reliably predict the P- and S-waves and density, we have developed a robust two-step joint PP- and PS-wave three-term AVO-inversion method. Our inversion workflow consists of two steps. The first step is to estimate the (...)
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  18.  1
    Mimicking the Process of Manual Sequence Stratigraphy Well Correlation.Huijing Fang, Yihuai Lou, Bo Zhang, Huaimin Xu & Man Lu - 2021 - Interpretation 9 (3):T667-T684.
    Stratigraphic correlation of well logs is based on interactive interpreter-based pattern recognition. A skilled interpreter identifies similar patterns in user-defined well sections and links them using either a conscious or subconscious stratigraphic model. This manual stratigraphic correlation of numerous wells in mature fields can be time-consuming and error-prone. To expedite the process of stratigraphic correlation, we have performed semiautomatic stratigraphic correlation of wireline logs from multiple wells using improved dynamic time warping. IDTW uses semblance, which compares the shape of the (...)
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  19.  18
    Depositional Sequence Characterization Based on Seismic Variational Mode Decomposition.Fangyu Li, Bo Zhang, Rui Zhai, Huailai Zhou & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (2):SE97-SE106.
    Subtle variations in otherwise similar seismic data can be highlighted in specific spectral components. Our goal is to highlight repetitive sequence boundaries to help define the depositional environment, which in turn provides an interpretation framework. Variational mode decomposition is a novel data-driven signal decomposition method that provides several useful features compared with the commonly used time-frequency analysis. Rather than using predefined spectral bands, the VMD method adaptively decomposes a signal into an ensemble of band-limited intrinsic mode functions, each with its (...)
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  20.  54
    Effect of Sedimentary Environment on Shale Lithofacies in the Lower Third Member of the Shahejie Formation, Zhanhua Sag, Eastern China.Tingwei Li, Zhenxue Jiang, Chenlu Xu, Yuan Yuan, Pengfei Wang, Guoheng Liu, Bo Zhang, Chuanxiang Ning & Zhi Wang - 2017 - Interpretation: SEG 5 (4):T487-T501.
    Research on shale lithofacies is important for shale oil and gas production. This study focused on the lower third member of the Shahejie Formation in the Luo-69 well in the Zhanhua Sag, Jiyang Depression, Bohai Bay Basin, eastern China. Several methods, including thin section observations, total organic carbon analysis, X-ray diffraction analysis, quantitative evaluations of minerals by scanning electron microscopy, major and trace-element analyses, and field emission-scanning electron microscopy, are used to investigate the effect of sedimentary environment on the type (...)
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  21.  11
    Geometric Seismic Attribute Estimation Using Data-Adaptive Windows.Tengfei Lin, Bo Zhang & Kurt Marfurt - 2019 - Interpretation 7 (2):SC33-SC43.
    Geometric seismic attributes such as coherence are routinely used for highlighting geologic features such as faults and channels. Traditionally, we use a single user-defined analysis window of fixed size to calculate attributes for the entire seismic volume. In general, smaller windows produce sharper geologic edges, but they are more sensitive to noise. In contrast, larger windows reduce the effect of random noise, but they might laterally smear faults and channel edges and vertically mix the stratigraphy. The vertical and lateral resolutions (...)
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  22. Research on Design of Intelligent Background Differential Model for Training Target Monitoring.Ya Liu, Fusheng Jiang, Yuhui Wang, Lu OuYang, Bo Gao, Jinling Jiang & Bo Zhang - 2021 - Complexity 2021:1-12.
    The detection of moving targets is to detect the change area in a sequence of images and extract the moving targets from the background image. It is the basis. Whether the moving targets can be correctly detected and segmented has a huge impact on the subsequent work. Aiming at the problem of high failure rate in the detection of sports targets under complex backgrounds, this paper proposes a research on the design of an intelligent background differential model for training target (...)
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  23.  3
    Introduction to Special Section: Cloud Computing.Bradley Wallet, Konstantin Osypov, Victor Aarre, Sumit Verma, Oswaldo Davogustto, Bo Zhang, Vikram Jayaram & Shuang Zhang - 2021 - Interpretation 9 (1):SAi-SAi.
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  24.  8
    Effect of Anisotropy, Angle, and Critical Tensile Stress and Confining Pressures on Evaluation of Shale Brittleness Index — Part 1: Methodology and Laboratory Study.Qing Wang, Bo Zhang, Shiguang Guo & Jianguang Han - 2019 - Interpretation 7 (3):T637-T646.
    Brittleness is an important evaluation parameter in shale fracturing. Current methods of brittleness evaluation can be classified into two categories: elastic parameter-based and mineral content-based methods. However, both categories neglect the effect of anisotropy on the brittleness index computation of shale resources. We have redefined a new BI by integrating failure criteria stress and anisotropy parameters estimated from seismic waves. According to the new definition, the BI at one analysis point varies with the incident angle of the seismic wave and (...)
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  25.  4
    Formation Evaluation Using Petrophysics and Borehole Geophysics? Introduction.Hua Wang, Hu Li, Bo Zhang, Shuvajit Bhattacharya, Zhaohui Xu & Bin Zhao - forthcoming - Interpretation:1-3.
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  26.  2
    Introduction to Special Section: Formation Evaluation Using Petrophysics and Borehole Geophysics.Hua Wang, Hu Li, Bo Zhang, Shuvajit Bhattacharya, Zhaohui Xu & Bin Zhao - 2020 - Interpretation 8 (3):SLi-SLii.
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  27.  1
    Multichannel Synchrosqueezing Generalized S-Transform for Time-Frequency Analysis of Seismic Traces.Nanke Wu, Huailai Zhou, Yuanjun Wang, Bo Zhang, Haitao Yan & Niu Cong - 2020 - Interpretation 8 (4):T793-T801.
    The synchrosqueezing generalized S-transform is commonly used to generate an isofrequency component of a signal by squeezing the decomposed frequency components of the signal. However, for seismic signals, the single-trace process can have a lack of lateral information in the squeezed results and lead to some discontinuous geologic information that will mislead the interpreter. Thus, to improve the stability of SSGST, we have developed a multichannel seismic trace squeezing method. Multichannel SSGST considers the decomposed frequency components of neighboring traces of (...)
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  28.  9
    The Facies Analysis of a Fan Delta by Integrating Multiple Discipline Data — A Case Study of the KL-A Oilfield, Bohai Bay Basin, China.Zhijun Yin, Bo Zhang, Yue Hu, Jianmin Zhu, Cheng Guo, Guolong Chen, Xianbo Hou, Jianwei Liu & Rongdong Zhang - 2020 - Interpretation 8 (2):SF21-SF35.
    The third member of the Shahejie Formation is the main hydrocarbon exploration target in the KL-A oilfield, Bohai Bay Basin, East China. The facies classification is an essential step in mapping the depositional system of Es3 within the Bohai Bay Basin. The facies model is important for identifying the “sweet” lithology within the reservoirs. We characterize the facies of Es3 by integrating cores, well logs, and seismic data. The analysis indicates that the Es3 consists of fan delta deposits. The analysis (...)
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  29.  1
    Brain Development From Newborn to Adolescence: Evaluation by Neurite Orientation Dispersion and Density Imaging.Xueying Zhao, Jingjing Shi, Fei Dai, Lei Wei, Boyu Zhang, Xuchen Yu, Chengyan Wang, Wenzhen Zhu & He Wang - 2021 - Frontiers in Human Neuroscience 15.
    Neurite orientation dispersion and density imaging is a diffusion model specifically designed for brain magnetic resonance imaging. Despite recent studies suggesting that NODDI modeling might be more sensitive to brain development than diffusion tensor imaging, these studies were limited to a relatively small age range and mainly based on the manually operated region of interest analysis. Therefore, this study applied NODDI to investigate brain development in a large sample size of 214 subjects ranging in ages from 0 to 14. The (...)
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  30.  3
    Design, Analysis, Power, and Sample Size Calculation for Three‐Phase Interrupted Time Series Analysis in Evaluation of Health Policy Interventions.Bo Zhang, Wei Liu, Stephenie C. Lemon, Bruce A. Barton, Melissa A. Fischer, Colleen Lawrence, Elizabeth J. Rahn, Maria I. Danila, Kenneth G. Saag, Paul A. Harris & Jeroan J. Allison - 2020 - Journal of Evaluation in Clinical Practice 26 (3):826-841.
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  31. Dang Dai Zhongguo Gong Min Dao de Jian She: Guo Jia Lun Li Yu Shi Min She Hui Lun Li de Shi Jiao.Boying Zhang - 2007 - Tianjin She Hui Ke Xue Yuan Chu Ban She.
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  32.  12
    Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment.Bo Zhang, YuHua Cheng, Chun Yin, Xuegang Huang, Sara Dadras & Hadi Malek - 2018 - Complexity 2018:1-16.
    In this paper, in order to achieve automatic defect identification for pneumatic pressure equipment, an improved feature extraction algorithm eddy current pulsed thermography is presented. The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function. The data block selection and variable step search are integrated to decrease the redundant computations in the automatic defect identification. The goal of the classification and between-class distance calculation is to select the typical (...)
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  33.  3
    Evaluation Method for Low- to Ultralow-Permeability Reservoirs Based on Pore-Throat Structure: A Case Study in the Eastern Nanpu Sag, Bohai Bay Basin, China.Xiaodong Zhao, Shilin Wang, Jingxu Yang, Boming Zhang, Liang Li, Xiao Liu, Wen Wen & Yaxuan Zhang - 2021 - Interpretation 9 (2):T315-T329.
    The pore-throat structure of low- to ultralow-permeability reservoirs is complex, causing the permeability to vary greatly under similar porosity conditions. Moreover, the pore-throat structures are the key factors that controled the physical properties of such kind of reservoirs. Therefore, conventional reservoir evaluation methods can hardly meet the research needs of low- to ultralow-permeability reservoir exploration and development. We have conducted our research on Paleogene Shahejie and Neogene Dongying low- to ultralow-permeability reservoirs in the eastern Nanpu Sag of the Bohai Bay (...)
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  34.  6
    Introduction to Special Section: Seismic Time-Frequency Analysis.Bo Zhang, Wenkai Lu, Xiaohong Chen, Rui Zhang, Xiaotao Wen, Huailai Zhou & Danping Cao - 2017 - Interpretation: SEG 5 (1):SCi-SCi.
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  35.  4
    Marxism and Human Sociobiology: The Perspective of Economic Reforms in China.Boshu Zhang - 1994 - State University of New York Press.
    In this book, the author attempts to reveal the heart of a Chinese intellectual.
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  36.  13
    Neural Representation of Three-Dimensional Acoustic Space in the Human Temporal Lobe.Xiaolu Zhang, Qingtian Zhang, Xiaolin Hu & Bo Zhang - 2015 - Frontiers in Human Neuroscience 9.
  37.  1
    Reservoir Characterization by Integrating Multidiscipline Data — Introduction.Bo Zhang, Yuming Liu, Shuvajit Bhattacharya, Shan Huang, Bin Zhao & Fan Song - 2020 - Interpretation 8 (3):SMi-SMi.
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  38. Selecting the Best Routing Traffic for Packets in LAN Via Machine Learning to Achieve the Best Strategy.Bo Zhang & Rongji Liao - 2021 - Complexity 2021:1-10.
    The application of machine learning touches all activities of human behavior such as computer network and routing packets in LAN. In the field of our research here, emphasis was placed on extracting weights that would affect the speed of the network's response and finding the best path, such as the number of nodes in the path and the congestion on each path, in addition to the cache used for each node. Therefore, the use of these elements in building the neural (...)
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  39.  1
    Seismic Well Tie by Aligning Impedance Log with Inverted Impedance From Seismic Data.Bo Zhang, Yahua Yang, Yong Pan, Hao Wu & Danping Cao - 2020 - Interpretation 8 (4):T917-T925.
    The accuracy of seismic inversion is affected by the seismic wavelet and time-depth relationship generated by the process of the seismic well tie. The seismic well tie is implemented by comparing the synthetic seismogram computed from well logs and the poststack seismogram at or nearby the borehole location. However, precise waveform matching between the synthetic seismogram and the seismic trace does not guarantee an accurate tie between the elastic properties contained represented by the seismic data and well logs. We have (...)
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  40.  3
    Detecting and Visualizing the Communities of Innovation in Beijing-Tianjin-Hebei Urban Agglomeration Based on the Patent Cooperation Network.Fang Zhou & Bo Zhang - 2021 - Complexity 2021:1-14.
    For a deep understanding of Beijing-Tianjin-Hebei collaborative innovation, we detected and visualized the communities of innovation in BTH Urban Agglomeration based on the patent cooperation network. China Patent Database was connected with Business Registration Database and the Tianyan Check to achieve the geographical information of organizational innovators. Spinglass algorithm was applied and ultimately 12 communities of innovation were detected. Based on the different structure characteristics, we further clustered the 12 communities into four typical structures that are hierarchical, single-center, polycentric, and (...)
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