Journal of Applied Geophysics最新文献_第7页

Unsupervised learning approach for revealing subsurface tectono-depositional environment: A study from NE India 揭示地下构造沉积环境的无监督学习方法：印度东北部研究

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-08-06 DOI: 10.1016/j.jappgeo.2024.105478

{"title":"Unsupervised learning approach for revealing subsurface tectono-depositional environment: A study from NE India","authors":"","doi":"10.1016/j.jappgeo.2024.105478","DOIUrl":"10.1016/j.jappgeo.2024.105478","url":null,"abstract":"<div><p>The present study attempts to explore the efficacy of self-organizing maps (SOMs) in understanding the pattern of seismic reflections and analyze their implications for revealing the subsurface tectono-depositional environment prevailing within the Oligocene-Miocene intervals of the Upper Assam foreland basin, NE India. A series of seismic attributes including geometrical, spectral, amplitude, and GLCM-textures are extracted using high-resolution three-dimensional seismic data acquired from the upper shelf of the basin. These attributes are amalgamated into two different cases to compute the SOM models with an aim to highlight the subsurface structures and reveal sedimentary deposits engulfed within these structures. It is observed that the model SOM Case 1 highlights subsurface fault networks that structurally control the Oligocene-Miocene intervals. However, the model SOM Case 2 not only hints at the presence of these structures but also illuminates different patterns of seismic reflections and geomorphic features associated with sediment entrapped within the fault-bounded structures. Through this research, we envisage that for the SOMs to be optimal, geologically meaningful sets of seismic attributes should be used as an input such that attributes assisting seismic interpreters could successfully identify relations or patterns within the data. The method presented in this study can be applied to similar geologic settings to aid subsurface interpretation.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics-driven deep-learning for marine CSEM data inversion 用于海洋 CSEM 数据反演的物理驱动深度学习

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-31 DOI: 10.1016/j.jappgeo.2024.105474

{"title":"Physics-driven deep-learning for marine CSEM data inversion","authors":"","doi":"10.1016/j.jappgeo.2024.105474","DOIUrl":"10.1016/j.jappgeo.2024.105474","url":null,"abstract":"<div><p>Marine controlled-source electromagnetic (MCSEM) inversion plays a crucial role in hydrocarbon exploration and pre-drill reservoir evaluation. Deep learning techniques have been widely used in geophysical inversions. Although they work on theoretical data well, their performance on survey data needs to be improved. Since no constraint of physical laws is applied in the training phase, the trained neural network often exhibits large errors when extended to new datasets with different distributions from the train set. To solve this problem, we add a differentiable marine EM forward operator at the end of the neural network that maps the network-predicted results back to the response data. We incorporate a data error term to the loss function and the gradient of data error with respect to model parameters in the gradient back-propagation process so that we can successfully introduce the physical law constraints into the network training process. Experiments on synthetic data validate the effectiveness of our Physics-driven Deep Neural Network (PhyDNN) inversions. It performs significantly better than the conventional DNN as it can recover the model accurately while maintaining data fitting. Tests on theoretical data with different noise levels further demonstrate the superiority of our PhyDNN, which can achieve stable inversions under high noise levels. Moreover, we use the t-distributed stochastic neighbor embedding (t-SNE) algorithm to analyze the similarity between the train sets and real data. The results show that the real data falls within the data distribution of the train sets, ensuring the credibility of the inversion results. Finally, we use PhyDNN to invert an EM survey dataset acquired over a deep-sea sedimentary basin. The inversion results match well Occam's inversions, indicating that our physics-driven network has enhanced the data adaptability and overcome the limitation of conventional DNN in handling new data.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141997989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accurate gain method for ground-penetrating radar signals based on stationary wavelet packet transform 基于静止小波包变换的探地雷达信号精确增益法

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-29 DOI: 10.1016/j.jappgeo.2024.105473

引用次数: 0

An optimized observation system and inversion method for fault detection based on surface-wave while tunneling 基于面波而隧穿的故障检测优化观测系统和反演方法

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-28 DOI: 10.1016/j.jappgeo.2024.105472

{"title":"An optimized observation system and inversion method for fault detection based on surface-wave while tunneling","authors":"","doi":"10.1016/j.jappgeo.2024.105472","DOIUrl":"10.1016/j.jappgeo.2024.105472","url":null,"abstract":"<div><p>Understanding geological structures ahead of the tunnel face is important for safe and efficient construction of the urban tunnel. The surface-wave while tunneling (SWT) method, using drilling noise by shield machine as source, is expected to dynamically predict the adverse geologies in front of the tunnel face. Observation system and inversion method are keys for SWT. To improve the imaging accuracy of the geological conditions, it is urgent to optimize the observation system for data acquisition and inversion method for velocity inversion, especially for the utilization of multi-modes surface-waves. For observation system, several key parameters (minimum source-geophone distance, length and interval of survey line) are optimized to obtain sufficient information of dispersion curves. Then observation systems for source at different depth were optimized, supporting for geological detection using surface-waves generated by underground drilling noise. For velocity imaging, numerical simulations are studied to reveal the applicability of typical inversion methods for multi-modes of surface wave, and particle swarm optimization (PSO) algorithm is optimized for velocity inversion due to its advantages of stable calculation and good accuracy. On this basis, SWT was optimized both in data acquisition and velocity inversion for better understanding geological condition both in buried depth and detection distance. Then the improved method was applied in the Jinan tunnel and successfully detected a fault, providing geological information for construction safety and verifying the feasibility.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Changes in the magnetic properties of a tropical red soil following the conversion of forest into agricultural land 森林变成农田后热带红壤磁性的变化

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-27 DOI: 10.1016/j.jappgeo.2024.105471

{"title":"Changes in the magnetic properties of a tropical red soil following the conversion of forest into agricultural land","authors":"","doi":"10.1016/j.jappgeo.2024.105471","DOIUrl":"10.1016/j.jappgeo.2024.105471","url":null,"abstract":"<div><p>Land uses have a large impact on the magnetic properties of soil. Understanding the changes in such properties caused by different land uses will help to correctly explain and apply magnetic parameters. In this study, the magnetic susceptibility, magnetic mineral types, and magnetic domain state of iron oxide particles in soil after the transformation of a forest into a tea garden and cornfield in a tropical area were compared. 1)The vertical distribution characteristics of soil magnetism under the three land uses in tropical red soil area were similar. The magnetic properties of soil in the 0–20 cm surface layer was significantly different, but there were no significant differences below 20 cm. The low-frequency mass magnetic susceptibility and anhysteretic susceptibility of topsoil were largest in the cornfield, followed by the forest and tea garden, and the magnetic susceptibility of the topsoil in the cornfield was significantly higher than in the tea garden and forest. 2)The magnetic minerals in tropical red soil area were mainly ferrimagnetic minerals (maghemite and magnetite). The content of ferrimagnetic minerals decreased with depth, while the content of antiferromagnetic minerals (hematite) increased. 3)The magnetic particles were mainly composed of superparamagnetic (SP), single domain (SD), and pseudo single domain (PSD) particles. The magnetic differences in the topsoil were mainly caused by changes in the ferrimagnetic mineral concentration of SD particles. Tea garden and cornfield are the two main agricultural land in the study area. Through the correct application of magnetic parameters, it is helpful to monitor the influence of land use change on soil properties, so as to provide the necessary reference for the rational use of soil.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141850112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconstruction method for a three-demensional discrete element numerical model of landslides using an integrated multi-electrode resistivity tomography method and an unmanned aerial vehicle survey 利用综合多电极电阻率层析成像方法和无人机勘测重建滑坡三维离散元数值模型的方法

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-27 DOI: 10.1016/j.jappgeo.2024.105469

{"title":"Reconstruction method for a three-demensional discrete element numerical model of landslides using an integrated multi-electrode resistivity tomography method and an unmanned aerial vehicle survey","authors":"","doi":"10.1016/j.jappgeo.2024.105469","DOIUrl":"10.1016/j.jappgeo.2024.105469","url":null,"abstract":"<div><p>To analyze the hazard-causing modes of landslides, this paper proposes a three-dimensional discrete element model reconstruction method that employs an unmanned aerial vehicle survey and multi-electrode resistivity tomography method. To convert the resistivity profile into a material profile, we adopt the peak of the probability density method for material classification and utilize the Haar wavelet transform for image denoising. Subsequently, inverse distance weighting interpolation and the curtain-point method are used to transform two-dimensional profiles into a 3D visualization model. Similarly, the triangular mesh boundary can be extracted from the 3D visualization model using the curtain-point method. A mapping function <em>f</em> including the macroscopic parameters, was defined to populate the particles within the boundaries. Using the iterative method and defining the loss function <em>L</em> for parameter calibration, the targeted 3D discrete element model was constructed after setting the velocity threshold. This method was applied to the Changhe landslide (September 14, 2019) in Gansu Province, China, which had a typical damaged soil layer due to earthquake and rainfall factors. The results indicate that the lower part first exhibits significant displacement, followed by the upper and middle parts, which is consistent with the on-site inspections and UAV findings.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Damage evolution, acoustic emission and electromagnetic radiation of rock under uniaxial cyclic loading 单轴循环加载下岩石的损伤演变、声发射和电磁辐射

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-26 DOI: 10.1016/j.jappgeo.2024.105470

{"title":"Damage evolution, acoustic emission and electromagnetic radiation of rock under uniaxial cyclic loading","authors":"","doi":"10.1016/j.jappgeo.2024.105470","DOIUrl":"10.1016/j.jappgeo.2024.105470","url":null,"abstract":"<div><p>Uniaxial cyclic loading compression experiments are conducted with synchronous monitoring of acoustic emission (AE) and electromagnetic radiation (EMR). The AE and EMR characteristics of rocks during cyclic loading are analyzed. Subsequently, the Kaiser and Felicity effects of AE and EMR are disclosed. Moreover, the b-value and fractal dimension are calculated to explore the cracking mechanism of rock materials. These results show that the AE and EMR are active during the 1st and 2nd loading cycles, and sparse during the 3rd and 4th loading cycles where the AE and EMR are only generated when the stress exceeds the previous peak stress due to the Kaiser effect. In the 5th loading cycle, AE and EMR accelerate and peak at rock failure. The variation of EMR-based <em>FR</em> is consistent with that for AE under cyclic loading. Hence, the <em>FR</em> associated with EMR is also well correlated with stress memory. The AE and EMR-based <em>FR</em> is greater than 1 in the 2nd-4th loading cycles, and less than 1 in the 5th cycle, indicating that <em>FR</em> can be used to reflect the damage evolution of rocks. The b-value and fractal dimension increase in the 1st-4th loading cycles, and turn to decrease in the 5th loading cycle. This pattern serves as a precursor to identify the rock failure.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fusion and integrated interpretation of multisource geoscience datasets for mineral exploration 矿物勘探多源地球科学数据集的融合与综合解释

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-23 DOI: 10.1016/j.jappgeo.2024.105445

{"title":"Fusion and integrated interpretation of multisource geoscience datasets for mineral exploration","authors":"","doi":"10.1016/j.jappgeo.2024.105445","DOIUrl":"10.1016/j.jappgeo.2024.105445","url":null,"abstract":"<div><p>Integrated interpretation has been a cutting-edge approach in three-dimensional (3D) mineral potential mapping (MPM) in recent decades. This research presented a multisource geo-data fusion and integrated interpretation approach for 3D MPM. Thereinto, the favorable geological bodies and faults were scored according to their closeness of the relationship with mineralization. The soil geochemical data and Landsat 8 OLI imagery was processed by orthogonal factor analysis (FA) to explore the mineralization-related geochemical factors and to extract hydrothermal alterations, respectively. The aeromagnetic data was denoised by multifractal singular value decomposition (MSVD) and was extracted of the residual anomalies by bi-dimensional empirical mode decomposition (BEMD). In this way, these multisource geo-anomalies were fused by TOPSIS algorithm and the fusion result was segmented by concentration-area (C-A) multifractal model for targets mapping. Then a wavenumber-domain fast 3D-inversion approach of MagFInv3D was applied in inverting the residual magnetic anomalies. At last, the targets, occurrences and regional faults along the inverted underground residual anomalies were integrated together for interpretation. It proved that the proposed approach could show high performance in 3D MPM, which could provide a reference for 3D mineral exploration, especially in a tectonically-controlled and polymetallic metallogenic belt.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141960222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fine interpretation of magnetic data for a concealed mineral deposit: A case study of the Fe-polymetallic deposit from Western China 隐蔽矿床磁数据的精细解读：中国西部铁多金属矿床案例研究

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-23 DOI: 10.1016/j.jappgeo.2024.105468

{"title":"Fine interpretation of magnetic data for a concealed mineral deposit: A case study of the Fe-polymetallic deposit from Western China","authors":"","doi":"10.1016/j.jappgeo.2024.105468","DOIUrl":"10.1016/j.jappgeo.2024.105468","url":null,"abstract":"<div><p>We interpret the magnetic anomalies for exploration and characterization of the Galinge iron polymetallic deposit, which is the largest iron polymetallic deposit in Western China. This undeveloped deposit is completely concealed by the thick Quaternary sediments, presenting an exploration challenge. A lot of drillholes have been implemented focusing on the strong magnetic anomaly centers, while the relationship between magnetite-bearing and non-magnetite-bearing drillholes is unclear, and the metallogenic regularity in the whole area needs to be further studied. The edge detection is applied on the downward continued field to resolve individual magnetite ore bodies and enhance possible concealed ore bodies. Three anomaly belts trending NE-SW with a total extension length of ∼11 km are first revealed. Combining the sharper images from the enhanced magnetic anomaly and the drillholes, we infer that the deposits would be related to the syncline structure. Forward modeling confirms the inferred three belts of the ore bodies and also shows possibly two layers deposits in which the deep layer would be located at a depth of ∼1000 m. Although the deeper deposit results in a very smooth and low amplitude magnetic anomaly, the forward modeling shows that the anomalies from both the shallow magnetite and the inferred deep one fit the observed anomaly better. One deep drillhole reveals the fact that the magnetite is existed at a depth of ∼1000 m which highlights the interpretation of the deep deposit. The results show the contribution of the fine processing techniques which would be used to distinguish zones of potentially concealed mineralization.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141850332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multichannel GPR and multi-depth electromagnetic surveys for the study of Villa Eucheria and Aquinum at Castrocielo (Frosinone, Central Italy) 多通道 GPR 和多深度电磁勘测，用于研究卡斯特罗谢洛的 Eucheria 和 Aquinum 别墅（意大利中部弗罗西诺内）

IF 2.2 3区地球科学

Journal of Applied Geophysics Pub Date : 2024-07-22 DOI: 10.1016/j.jappgeo.2024.105466

{"title":"Multichannel GPR and multi-depth electromagnetic surveys for the study of Villa Eucheria and Aquinum at Castrocielo (Frosinone, Central Italy)","authors":"","doi":"10.1016/j.jappgeo.2024.105466","DOIUrl":"10.1016/j.jappgeo.2024.105466","url":null,"abstract":"<div><p>The municipality of Castrocielo (Frosinone, Italy) is a historically significant center which includes several centers of great archaeological importance, including part of the archaeological site of the ancient Roman city of <em>Aquinum</em>. In this work, we show the results of geophysical surveys performed in two different areas: the first area is close to the Monacato of Santa Maria al Palazzolo, built on the foundation slab of a Roman villa dating back to the 1st-2nd century BCE; the second area is close to the charging station Casilina Est, where several burials, dating back to different periods from 4th century BCE to 4th century CE, were found. The aims of geophysical investigations is to identify structures linked to the ancient Roman villa (<em>Villa Eucheria</em>) in Area 1, and to identify the tombs of the necropolis in Area 2. The two areas were investigated in two different days, on 27th and 28 <sup>th</sup> March 2023 respectively, through a multi-channel georadar system (GPR). In the second area, an electro-magnetometric survey was also performed. This choise is to address the heavy rain developed during the night before the acquisition. Infact the GPR survey performed during the second day of the geophysical campaign did not provide good results.Based on the geophysical results, the archaeological excavation in Area 1 confirmed the detected anomalies, documenting a section of wall and other structures and elements brought to light over a length of approximately 9 m. The results obtained in Area 2 confirmed the cropmarks visible in the aerial photo, highlighting the traces of buried structures.</p></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0926985124001824/pdfft?md5=d07382be343fb6f192b8e973d57c760d&pid=1-s2.0-S0926985124001824-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0