Bin Liu

China Geological Survey

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i-10 index

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Co-Authors

Yuxiao Ren

Shandong University

Lichao Nie

Shandong University

Peng Jiang

Shandong University

Shucai Li

Shandong University

Zhengyu Liu

Shandong University

Xinji Xu

Yangzhou University

Senlin Yang

Shandong University

Yonghao Pang

Shandong University

Lei Chen

University of Science and Technology Beijing

Lanbo Liu

Shanghai Tunnel Engineering (China)

Cooperative Institutions

Shandong University

Chinese Academy of Sciences

Shandong Transportation Research Institute

University of Chinese Academy of Sciences

Ministry of Natural Resources

China Geological Survey

Guangzhou Marine Geological Survey

Central South University

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

Shanghai Jiao Tong University

Author Statistics

Papers

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Research in field tests of the influence factors of the TSP system signal collection quality

Journal of Shandong University (2009)

Bin Liu

Effectiveness of seismic wave signal collection is the precondition for ensuring the accuracy in TSP forecast.In order to improve the signal-to-noise ratio, the main factors affecting TSP signal collection quality were studied by field test,comparative analysis of field test results,and theoretical analysis method.The influence mode of the fault belt,Rayleigh wave and the anchor coupling of the detecting rod on signal collection were studied.Different coupling methods and anchor strength of the detecting rod have different interferences on signal reception.The single-trace signal method was first applied to analyze the interference characteristics,and the weakening or eliminating interference method of detecting rod coupling methods were also studied.The interference principle of the Rayleigh wave to signal collection was analyzed with the Rayleigh wave theory,and a conclusion was obtained that the Rayleigh wave influence can be significantly weakened with increasing anchorage depth.

SIGNAL (programming language)

Rayleigh Wave

Source

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Citations (1)

Visual Localization and Topographic Mapping for Zhurong Rover in Tianwen-1 Mars Mission

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

Wenhui Wan Jia Wang Zhaoqin Liu Kaichang Di Man Peng

10.1109/jstars.2025.3540377

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Irregular surface FWI in an auxiliary coordinate system

Yingming Qu Zhenchun Li Jianping Huang Jinli Li Bin Liu

A full waveform inversion (FWI) method for irregular surface based on the first-order equation is proposed. The constant density second-order equation FWI method will be inaccurate if the density is variable, so the first-order equation is used to implement FWI. To overcome the disadvantage of traditional finite difference method on treating irregular surface, we implement FWI in an auxiliary coordinate system. To reduce its dependence on the initial velocity, we introduce the time domain decomposition technology which uses Wiener filter to the proposed FWI method. Besides, we use the encoding technique to improve the efficiency. The tests for irregular surface models suggest that our method can get more accurate velocity than the traditional curvilinear grid method and the single-scale method. Presentation Date: Monday, October 17, 2016 Start Time: 3:20:00 PM Location: 162/164 Presentation Type: ORAL

10.1190/segam2016-13855408.1

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Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data

IEEE Geoscience and Remote Sensing Letters (2021)

Bin Liu Jinghang Yue Zhiwu Zuo Xinji Xu Chao Fu

Random noise attenuation is an essential step to improve the signal-to-noise ratio (SNR) of seismic data. Deep learning for seismic data denoising is dominated by supervised methods that require noise-free data as training targets. It is usually time-consuming and laborious to obtain such clean seismic data, and the effectiveness of the noise attenuation is difficult to be guaranteed. Therefore, we propose a novel unsupervised learning method that learns from noisy data. The method is based on two salient features of seismic data: 1) valid signals of adjacent seismic traces that are spatially correlated and 2) random noise that is spatially independent and unpredictable. An end-to-end deep convolutional neural network (CNN) was constructed to solve the denoising task. Adjacent traces of seismic data, which contain similar seismic phases and interface features, were used as the inputs and labels of the training set. The mapping of spatial correlation can be learned by the CNN so that valid signals from raw seismic data are predicted, while random noise is suppressed for unpredictability. Synthetic and field data were applied to the proposed CNN denoising model. The experimental results demonstrate the effectiveness of random noise attenuation while preserving amplitude compared with two commonly used state-of-the-art denoising methods.

Synthetic data

10.1109/lgrs.2021.3057631

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Citations (29)

The Dependence Relationship of Relaxation Attenuation on Time and temperature of Saturated Rocks

Chinese Journal of Geophysics (2000)

XI Dao-ying Bin Liu Wei Liu Liangkun Yi

Abstract From the low‐frequency sub‐sympathetic vibration of rock which are filled with different fluids, the result shows that the internal friction peak is model typical relaxation peak. Different saturation fluids and different rocks result in different character of relaxation peak. This is the relaxation personality of saturated rock. It gives us a physical fundament to find oil field, geothermal field, and gives us a hope to predict the oil layer. From experimental results analysis it can be confirmed that rising temperature is equivalent to descending frequency.

Saturation (graph theory)

Bar (unit)

10.1002/cjg2.103

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Citations (5)

A zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing system

Frontiers of Mechanical Engineering (2022)

Xiaodong Wang Dongxiang Hou Bin Liu Xuesong Mei Xintian Wang

Abstract Ceramic structural parts are one of the most widely utilized structural parts in the industry. However, they usually contain defects following the pressing process, such as burrs. Therefore, additional trimming is usually required, despite the deformation challenges and difficulty in positioning. This paper proposes an ultrafast laser processing system for trimming complex ceramic structural parts. Opto-electromechanical cooperative control software is developed to control the laser processing system. The trimming problem of the ceramic cores used in aero engines is studied. The regional registration method is introduced based on the iterative closest point algorithm to register the path extracted from the computer-aided design model with the deformed ceramic core. A zonal and layering processing method for three-dimensional contours on complex surfaces is proposed to generate the working data of high-speed scanning galvanometer and the computer numerical control machine tool, respectively. The results show that the laser system and the method proposed in this paper are suitable for trimming complex non-datum parts such as ceramic cores. Compared with the results of manual trimming, the method proposed in this paper has higher accuracy, efficiency, and yield. The method mentioned above has been used in practical application with satisfactory results.

Trimming

Galvanometer

Digital Light Processing

10.1007/s11465-022-0675-5

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Preliminary seismic hazard assessment for the proposed Bohai Strait subsea tunnel based on scenario earthquake studies

Journal of Applied Geophysics (2019)

Lanbo Liu Yuan Gao Bin Liu Shucai Li

Subsea

10.1016/j.jappgeo.2019.02.005

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Citations (12)

Ultra-Short Time Imaging of Urban Underground Structures using Vehicle Noise Coda Waves

IEEE Transactions on Geoscience and Remote Sensing (2024)

Lei Hao Lei Chen Bin Liu Lanbo Liu Zhongzhi Li

Coda

10.1109/tgrs.2024.3484753

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A Weighting Function-Based Method for Resistivity Inversion in Subsurface Investigations

Journal of Environmental and Engineering Geophysics (2020)

Lichao Nie Zhao Ma Bin Liu Zhenhao Xu Wei Zhou

There is a high demand for high detection accuracy and resolution with respect to anomalous bodies due to the increased development of underground spaces. This study focused on the weighted inversion of observed data from individual array type electrical resistivity tomography (ERT), and developed an improved method of applying a data weighing function to the geoelectrical inversion procedure. In this method, the weighting factor as an observed data weighting term was introduced into the objective function. For individual arrays, the sensitivity decreases with increasing electrode interval. Therefore, the Jacobian matrices were computed for the observed data of individual arrays to determine the value of the weighting factor, and the weighting factor was calculated automatically during inversion. In this work, 2D combined inversion of ERT data from four-electrode Alfa-type arrays is examined. The effectiveness of the weighted inversion method was demonstrated using various synthetic and real data examples. The results indicated that the inversion method based on observed data weighted function could improve the contribution of observed data with depth information to the objective function. It has been proven that the combined weighted inversion method could be a feasible tool for improving the accuracies of positioning and resolution while imaging deep anomalous bodies in the subsurface.

Synthetic data

Inverse transform sampling

Electrical Resistivity Tomography

A-weighting

Inverse distance weighting

Magnetotellurics

10.2113/jeeg19-029

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Citations (1)

Cascade surface and borehole geophysical investigation for water leakage: A case study of the Dehou reservoir, China

Engineering Geology (2021)

Bin Liu Chengkun Wang Zhengyu Liu Zhenhao Xu Lichao Nie

Electrical Resistivity Tomography

Leakage (economics)

10.1016/j.enggeo.2021.106364

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Citations (19)