bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Capacity of Shale Fracture Network based on Fractal Dimension
Authors: Wu Xiang , Wang Fei 
Published: December 2023

Abstract
The quantitative evaluation method of fracture network capacity after shale fracturing is crucial for optimizing hydraulic fracturing of shale gas reservoirs and improving shale gas recovery. In order to quantitatively evaluate the shape of the shale fracture network after fracturing, the mud shale cores from the Longmaxi Formation were taken to carry out the constant-rate strain method fracturing pressure experiment. The fracture information of the two-dimensional lateral development surface after the core is compressed, and the surface fracture rate, concentrative value and fractal dimension of the fractures after compression are calculated. Through multiple linear regression, it is found that the fractal dimension is positively correlated with the surface fracture rate, which describes the number of fractures, and the concentrative value, which describes the spatial distribution of fractures, and the former has a greater impact on the size of the fractal dimension. Considering the above parameters comprehensively, a fracture network capacity evaluation model is established, which is in good agreement with the rock mechanical characteristics reflected by the strain-stress curve and the reconstructed three-dimensional fracture morphological characteristics. It has a certain guiding significance for shale brittleness research and fractability evaluation.
Numerical Modeling of Anisotropic Magnetic Field for High Susceptibility in Undulating Topography
Authors: Zhang Ying , Dai Shikun , Zhang Qianjiang , Chen Qingrui , Ling Jiaxuan 
Published: December 2023

Abstract
Most minerals with high magnetism have anisotropic characteristics, and the magnetic field distribution will be affected by topography. Based on the numerical modeling of magnetic field of anisotropic ferromagnetic body, this paper introduces the undulating topographic surface, sets up multiple horizontal planes with different depths between the highest point and the lowest point of the undulating terrain, calculates the magnetic field of these horizontal planes, and finally obtains the distribution of magnetic anomaly field on undulating topographic surface through interpolation. The correctness of undulating topography calculation is verified by comparison with the analytical solution. It is of great significance for inversion imaging of strong magnetic bodies in undulating topography.
Study on The Influence Law of Side Effect of Two-dimensional ERT
Authors: Li Sai , Zhang Guoqiang , Sun Zhen , Du Lizhi 
Published: December 2023

Abstract
As a traditional exploration method, two-dimensional high density resistivity method has been widely used in various projects. However, when using this method for exploration, three-dimensional geological bodies often affect the two-dimensional detection results, which is the side effect of two-dimensional high density resistivity method. Although the three-dimensional high density resistivity method can effectively remove the side effect of the two-dimensional high density resistivity method, the application of the three-dimensional high density resistivity method is often limited by the performance and cost of the instrument. Therefore, it is of great significance to explore the influence law of the side effect of the two-dimensional high density resistivity method. In this paper, through the method of numerical simulation, by comparing the data of different inversion arrays, the influence of abnormal body size, type, different arrays and other factors on the side effect is discussed.
Application of Elastic Wave CT in Geotechnical Investigation of Suning Square
Authors: Li Zhengcai , Du Lizhi , Du Jindu , Zhang Guoqiang , Wang Yong 
Published: December 2023

Abstract
Elastic wave CT technology, also known as elastic wave tomography technology. It is on the premise of not destroying the internal structure of the rock and soil medium in the test area, according to the basic principle that elastic waves propagate at different speeds in different rock and soil media, the travel time and wave velocity of the elastic wave in the rock and soil between two points are obtained through the experiment, and through a special inversion method, a large amount of elastic wave velocity information is used to obtain the distribution law and the elastic wave velocity chromatogram of the medium in the test area, in this way, the lithology, structural development and velocity parameters of the rock-soil medium in the test area can be inferred. This article briefly introduces the basic theory of elastic wave CT, including Radon transform and inverse transform, forward ray tracing method and inversion iterative image reconstruction technology. Then combined with the engineering survey example of the Suning Plaza project, it briefly introduced the field work method, data parameter collection, geological interpretation and result analysis. The analysis shows that the results of the three-dimensional velocity map obtained by the elastic wave CT method are intuitive, the test accuracy is high, and the development state, size and location of the karst in the survey area can be clearly seen. It can describe the spatial distribution characteristics of karst in detail, has outstanding advantages in karst exploration, and has good application prospects.
Application of Regional Gravity and Magnetic Data in Yambajan and Gudui Geothermal Fields, Tibet
Authors: Ming Yuanyuan , Zeng Zhaofa , Li Qiuchen , Guo Shujun , Xie Xinglong , Niu Xue 
Published: December 2023

Abstract
Yambajan geothermal field is the first wet steam field developed in the Chinese mainland. It is also the geothermal power station with the highest elevation in the world. It is rich in geothermal resources and its exploration and development level is relatively high. The Gudui geothermal field is the second largest geothermal display area in Tibet. It is rich in geothermal resources, second only to Yambajan Geothermal field, but its energy construction is relatively backward. In this paper, satellite gravity and aeromagnetic data are used to make a comprehensive comparative analysis of the two regions. The results show that they are both low gravity value areas and weak magnetic, and both of which are located on the fault zone. There is a very obvious relationship between the regional tectonic characteristics and the distribution law of hydrothermal activities, and the tectonic activities provide favorable conditions for the formation of hydrothermal activities. The fault depth in the south of the study area is deeper than that in the north, which is inferred to be caused by plate movement.
Application Comparison of Different Transient Electromagnetic Devices in Water Exploration of Tunnel Advanced Geological Prediction
Authors: Zhen Dayong , Liu Kang , Zhao Siwei , Zhou Chao 
Published: December 2023

Abstract
Detecting the possibility of water inrush in front of tunnel face is always the key of tunnel advanced geological prediction. Because of its sensitivity to groundwater, transient electromagnetic method is gradually being used in water exploration of tunnel advanced geological prediction. However, the current transient electromagnetic theory is established based on the half-space environment. In order to adapt to the detection work in the full-space environment such as tunnels, different transient electromagnetic devices have been improved. The effectiveness of these improved devices still need to be tested in actual engineering projects. In this paper, a tunnel under construction is used as the engineering background, and different transient electromagnetic devices are placed in front of the same tunnel face for detection. The detection results are compared and analyzed with the actual situation of tunnel excavation, which can provide reference for water exploration of tunnel advanced geological prediction.
Inversion of Self-potential Generated from Biogeobattery Model by Particle Filter Based on Particle Swarm Optimization Algorithm
Authors: Lu Heshunzi , Cui Yian , Luo Yijian , Xie Jing 
Published: December 2023

Abstract
Organic pollution has been exacerbated by industrial activity. How to quickly and effectively delineate the pollutant distribution and carry out targeted treatment has become an urgent matter. In order to improve the reliability of observation data inversion and interpretation, we propose a new particle filter algorithm based on particle swarm optimization, which does not only improves the accuracy of the particle filter algorithm but also inherits the advantages of fast convergence speed of particle swarm optimization algorithm. This method is tested and verified in a numerical model and sandbox experiments. The results show that this method can accurately estimate the parameters of anomaly sources and has good anti-noise ability. It is suitable for the inversion of pollution monitoring data which are easily disturbed by noise.
Image-guided Structure-constrained Inversion of Electrical Resistivity Data for Improving Contaminations Characterization
Authors: Ma Xinmin , Han Jingjing , Chao Chen , Li Jing , Zhou Jieyi , Xia Teng , Mao Deqiang 
Published: December 2023

Abstract
Electrical resistivity tomography often has high uncertainty in contamination characterization due to the complex subsurface structure. Utilizing available prior information is crucial for enhancing geological plausibility. We propose an improved structure-constrained method that updates the smooth weights of all eight elements surrounding a boundary element using three different magnitudes. The methodology is tested on seven synthetic models and a field case covering four different types of structural boundaries. Structural constraints are vital to increasing boundary contrast. With the increase of data points from an optimized array, the influence of structural constraint is reduced. Correct structural constraints can tighten the abnormal contamination resistivity. However, misplaced structural constraints in the proximity of the contamination can lead to worse characterization. Without knowing exactly the boundary information, we propose a method to obtain local constraints from borehole logging, which is verified by both numerical and field data. This method reduces the interference of uncertain structural boundaries and enhances the robustness of the IIGSC method in contamination surveys. In the end, we conclude that correct boundary information even with limited constraints from borehole logging can increase the identification of the abnormal contamination resistivity.
Heat Flow Prediction in Songliao Basin Based on Deep Neural Network
Authors: Bai Lige , Li Jing , Zeng Zhaofa 
Published: December 2023

Abstract
The heat flow is the key data for accurately predicting the contribution of underground heat, but due to the high cost of measurement, the spatial difference is huge, and the heat flow information in some areas is little known. This paper uses deep neural network technology to perform machine learning on a large number of relevant geological and geophysical features and heat flow measurements on a global scale. In addition, the model uncertainty quantification process is introduced, and the reliability of the prediction results is discussed based on the global sensitivity analysis and correlation calculation of the deep learning method. Finally, for the distribution map of heat flow and absolute difference in the Songliao Basin in the study area, the measured data error is less than 11%, and the predicted absolute difference is less than ±20 mW/m2. The results prove the accuracy of the method and the abnormal high heat flow in the central region of the basin. The existence of, further combined with the results of geophysical surveys, provides evidence for the analysis of regional thermal causes.
Study on Three-dimensional Water-Bearing Response Characteristics of Surface-to-Underground NMR Traversal
Authors: Wang Wenchuang , Jiang Zhihai , Miao Bin , Liu Shucai , Li Maofei 
Published: December 2023

Abstract
Nuclear magnetic resonance (NMR) is the only geophysical method that can directly detect groundwater. However, the response signal collected by nuclear magnetic resonance method is very weak, and it is difficult to detect reliable results by conventional ground nuclear magnetic resonance when the water-bearing anomaly is located deeper underground. In order to increase the detection depth, the surface-to-underground nuclear magnetic resonance device received in the ground launch roadway can be used. In this paper, the basic principle and working method of surface-to-underground NMR are introduced. The three-dimensional numerical simulation of different water-bearing structures and different device forms is carried out, and the response law and advantage range of surface-to-underground NMR to underground water are summarized.
Research on The Source Parameters and Scaling Relations of Earthquakes in Weihe Basin and Its Adjacent Area
Authors: Wang Weidong , Dou Chen , Zhang Yucheng 
Published: December 2023

Abstract
By using the data recorded in Shaanxi seismic network, seismic source parameters were determined through spectrum analyzing basing on Brune’s source model for 125 small to moderate earthquakes (1.1 ≤ ML
≤ 4.8) from 1997 to 2016 in Weihe basin and its adjacent area. Seismic radiated energies were also obtained through integral of observed velocity spectra. The relations between stress drop, scaled energy E

s
/ M
0 and Zúñiga parameter ε with seismic moment are analyzed. The results show that the earthquakes are with low stress drop in this area, the mean value is 0.16 MPa. More than 90% of the events in the region observed the ε value is less than 1. The low stress drop and low ε value indicate that earthquakes in this area can be explained by fractional stress drop mechanism or low effective stress model. These may be the result of mature fault activity, however, it cannot be ruled out effect of underground fluid. The scaled energy of earthquakes (1.3 ≤ MW
≤ 3.6) in this area is less than that of larger earthquakes (3.6 ≤ MW
≤ 6.0) in other areas. The earthquakes in this area are fairly small, so the heat energy generated in the rupture process is small, which is not enough to produce melting along the fault plane. With large dynamic friction force, it is not easy to produce rapid brittle rupture, resulting in low scalsed energy.
Application of WFEM in Geothermal Resource Exploration
Authors: Sun Hailong , Hu Ren , Lin Xuguang , Xu Mengge , Zhou Tianhao 
Published: December 2023

Abstract
Geothermal resources are a kind of ecological energy with great market potential. In order to promote the development and utilization of geothermal resources in Dunhua area and promote economic and social development, the advanced WFEM is used to delineate the hidden fault zone and fracture zone, determine the basement depth and the spatial distribution of hidden faults, find out the geological conditions of geothermal resources in this area, and make a preliminary evaluation of geothermal resources, analyze the exploitation potential of geothermal resources.
Weighted Laterally Constrained Inversion of Airborne Transient Electromagnetic Data with IP Effects
Authors: Lu Juntao , Wang Xuben , Xu Zhengwei , Guo Ming 
Published: December 2023

Abstract
Due to the induced polarization (IP) effects, abnormal fast decay and sign reversals are often observed in the field airborne transient electromagnetic (ATEM) responses, this phenomenon can well be explained by introducing the four-parameter Cole-Cole resistivity model. However, the introduction of multiple parameters makes the non-uniqueness of inversion more serious. To improve this problem, a weighted 1D laterally constrained inversion is proposed to recover the four IP parameters and thickness via adding different weighted factors chosen by lateral constraint conditions, in this paper, a synthetic polarization model is developed and 1D forward modeling with synthetic natural noise is conducted to imitate the field response. The proposed inversion is employed on the synthetic data and the results demonstrate that the method can improve the inversion stability and obtain more reliable result.
Three-dimensional Forward Modeling of Semi-airborne Frequency-domain tipper Sounding Method with Complex Arbitrary-source Geometry
Authors: Feng Min , Deng Juzhi , Chen Hui , Yin Min , Yu Hui , Su Kejia 
Published: December 2023

Abstract
In this study, we propose a three-dimensional forward modeling algorithm for the Semi-airborne frequency-domain tipper sounding method (SAFTSM) based on the finite volume method to analyze the characteristics of SAFTSM responses with complex arbitary source geometry. We the used QMR algorithm preconditioned by the Jacobi method to solve the coupled symmetric equations of magnetic vector potential
A
and scalar potential ϕ under the Lorenz criterion. In these numerical experiments, we used grounded wire as a transmitting source. The accuracy of the algorithm is verified by comparing the three-dimensional results with the one dimensional results. We first calculate the low resistance model tipper response of a single source. After that, a reverse source is added on the basis of a single source, calculating the tipper response with an inverse parallel double source system. Finally, by comparing different emission source systems, we analyze the influence of the multiple sources on SAFTSM, so that we can provide a theoretical basis for practical detection.
Extraction of Elemental Information of Slope Steps in Open Pit Mine Based on UAV
Authors: Lu Hengxiao , Liang Peng , Yao Xulong , Zhang Lingyun 
Published: December 2023

Abstract
The information of step width, height and angle of open-pit slope is of great value for open-pit mining. However, the existing methods of obtaining step element information are inefficient, and are greatly affected by staff and environmental factors, this reduces the production efficiency and acceptance accuracy of the mine. Therefore, this paper proposes a method to extract step element information based on UAV tilt photogrammetry technology. The method firstly acquires the dense point cloud data of the slope steps of the open pit based on the UAV inclined photogrammetry, preprocesses the point cloud data by using the bilateral filtering algorithm, then extracts the edge feature points of the point cloud based on the normal and curvature estimation method, and fits the step lines using the moving least squares method, and builds a step model based on the step lines, so that the profile lines at any position of the steps can be extracted on the model and obtains the step element information. The experiments show that the feature extraction method can extract the step element information efficiently and accurately, which has important application value for the production and safety of open pit mine.
3D Simulation and Leakage Detection Technique for Deep Foundation Pits Based on Electric Field
Authors: Chen Hui , Chen Yufeng , Deng Juzhi , Gao Jianglin , Wang Suo , Yu Hui , Zhang Guokun 
Published: December 2023

Abstract
To solve the problems of poor accuracy, poor anti-interference ability and unclear distribution of leakage electric field response characteristics of the traditional ground DC method for leakage detection of underground diaphragm walls in foundation pits, this paper proposes a deep foundation pit leakage detection technology based on the electric field. Secondly, it constructed the multi-field coupling equations and boundary conditions of the leakage electric field coupled with the leakage flow field and ion diffusion field, and then realized the three-dimensional forward evolution of the leakage electric field of the pit using the nonstructural mesh dissection method and the finite-element-infinite-element discretization method. Finally, physical model experiments and numerical simulations are used to confirm the reliability and accuracy of the foundation pit leakage detection technology and system. The results shows that monitoring the continuous change of the electric field for a period of time, the electric field detection technology for foundation pit leakage can effectively identify the location of hidden leakage and overcome the site’s strong industrial interference, resulting in a new technical solution for foundation pit leakage detection.
2D Source Inversion of Self-potential Data Based on Particle Swarm Optimization and Gradient Method
Authors: Luo Yijian , Cui Yi’an , Zhang Lijuan , Guo Youjun 
Published: December 2023

Abstract
The difficulty of accurately inverting the self-potential (SP) source has always been a major factor hindering the wide application of the SP method. Considering that particle swarm optimization has poor accuracy when in the face of high-dimensional SP inversion, while the gradient method depends on the selection of the initial solution, we try to combine these two algorithms to prompt the inversion result to jump out of local optimum.
Joint Inversion of Rayleigh Wave Dispersion and Ellipticity Based on Deep Learning
Authors: Zhao Minghao , Zhang Zhihou , Zhang Tianyi , Ma Ning 
Published: December 2023

Abstract
The joint inversion of Rayleigh wave dispersion curves and ellipticity curves is an important method to obtain information about the velocity structure of the stratum, which has the advantages of high resolution and speed. However, there are problems in the application of this technique, such as complicated data, low inversion efficiency, and large influence factors of nonlinear inversion. Deep learning has excellent nonlinear approximation capability, which can compensate for most of the above defects, and has higher efficiency and accuracy compared with traditional methods. In this paper, in order to obtain the near-surface stratigraphic structure quickly and accurately, we propose to introduce the deep learning method into the joint inversion, use the CNN-LSTM network to perform the joint inversion of Rayleigh wave dispersion curves and ellipticity curves. And in order to expand the variety of data set, we propose to add noise to the sample data set, through which the empirical risk can be reduced, and the generalization performance of the network can be increased. Model experiments show that the deep learning network can effectively and accurately perform the joint inversion of Rayleigh waves, and adding noise to the training set is an effective way to improve the generalization and stability of the network.
Research on Transient Electromagnetic Positioning Method of Underwater Towed Array Source for Moving Small Target on the Seabed
Authors: Zhou Chunkai 
Published: December 2023

Abstract
Different from the large-scale delineation and exploration of oil and gas resources and deep-sea hydrothermal sulfide deposits, small targets moving on the seabed require fine and accurate trace detection and higher positioning accuracy. Although the towed single source transient electromagnetic (TEM) device can detect the poisition of the static target body, but cannot determine the poisition of the moving target, the array source TEM device can effectively solve the problem of fine detection and accurate positioning of moving small targets on the seabed, and improve the signal-to-noise ratio and resolution. In this paper, an array source transient electromagnetic positioning method based on underwater towed platform is proposed for moving small targets on the seabed. At the same time, in view of the underwater towed body and array source transient electromagnetic coil, its attitude changes cause the problem of target body positioning error. Through the simulation calculation and error analysis, the results show that the calculation error of attitude angle had a great influence on positioning accuracy. In practical engineering application, attitude correction is necessary to eliminate positioning error.