Journal of Applied Geophysics最新文献

{"title":"Source influences of grounded-wire transient electromagnetic soundings: A systematic review and investigation","authors":"Weiying Chen ,&nbsp;Wanting Song ,&nbsp;Sixu Han ,&nbsp;Kangxin Lei ,&nbsp;Yulian Zhu","doi":"10.1016/j.jappgeo.2025.105633","DOIUrl":"10.1016/j.jappgeo.2025.105633","url":null,"abstract":"<div><div>Grounded-wire sources serve as critical transmitting elements in the transient electromagnetic method (TEM). Despite the sustained interest in understanding the impact of grounded-wire sources on the data collected, there remains a notable deficiency in thorough research and discourse on this topic. This study employs numerical simulations and field measurements to investigate the various factors that influence the effects of grounded-wire sources on TEM soundings, particularly focusing on aspects such as size, shape, shallow local anomalies, and the turn-off effect. The findings indicate that the dimensions of the source can significantly affect the early signals observed. Neglecting the actual shape of the source may lead to considerable deviations in the inversion results. Furthermore, local electrical heterogeneities beneath the source can produce overprint effects, resulting in substantial distortions of the observed signals. The turn-off time of the grounded-wire source exhibits a positive correlation with both the source length and the transmitting current, while it shows a negative correlation with grounding resistance. It is recommended that practitioners meticulously document the shape and position of the source. Additionally, it is advisable to position the source in regions characterized by simple and flat geological formations whenever feasible. The design of the source length and the intensity of the transmitting current should be carefully calibrated to accommodate the varying detection requirements for both shallow and deep targets. The implications of this research are significant for the construction, data processing, and interpretation of TEM soundings that utilize grounded-wire sources.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105633"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096571","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}

{"title":"An improved stochastic inversion of P- to S-wave velocity ratio and compressional modulus based on fast Fourier transform moving average co-simulation","authors":"Chen Zhao ,&nbsp;Jie Liang ,&nbsp;Jiajia Zhang ,&nbsp;Yinguo Zhang ,&nbsp;Jing Sun ,&nbsp;Jing Liao","doi":"10.1016/j.jappgeo.2025.105642","DOIUrl":"10.1016/j.jappgeo.2025.105642","url":null,"abstract":"<div><div>The stochastic seismic amplitude-versus-angle (AVA) inversion is extensively utilized in the estimation of elastic properties and rock physics parameters from seismic data. This method can substantially improve the resolution of reservoir identification in areas where well data are available. Compared with conventional sequential simulation methods, the fast Fourier transform moving average (FFT-MA) simulation exhibits a superior computational efficiency. However, given the limitations of FFT-MA simulation in the simultaneous simulation of multiple elastic properties (such as compressional modulus, VP/VS, and density), the effective application of this method in seismic AVA inversion is challenging. In this study, we propose an FFT-MA co-simulation method for the simultaneous simulation of multiple elastic parameters. This approach establishes possible models constrained by the joint probability distributions of inverted properties, which enhances the accuracy of co-simulated results. Furthermore, we introduce an iterative update method designed to enhance convergence during inversion processes and increase the inversion accuracy. Consequently, an efficient stochastic inversion method is developed through the combination of the FFT-MA Co-simulation method with the iterative update method. The effectiveness of the proposed inversion method is validated through numerical examples and field data application.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105642"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096573","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}

{"title":"Initial gradient optimization for elastic full-waveform inversion by means of spectral recomposition","authors":"Nelson Ricardo Coelho Flores Zuniga ,&nbsp;Rafael dos Santos Gioria ,&nbsp;Bruno Souza Carmo","doi":"10.1016/j.jappgeo.2024.105602","DOIUrl":"10.1016/j.jappgeo.2024.105602","url":null,"abstract":"<div><div>Predicting velocity models accurately using FWI technique is strictly related to an enhanced initial estimate. A reliable mean to build a more befitted initial model for FWI provides a more accurate velocity model building and/or fewer iterations — and, therefore, a lower processing time — for building the velocity model. In light of these considerations, we propose to use an approach based on spectral recomposition of elastic seismic data and to implement it in order to perform the optimization of the gradient in initial estimations for FWI focusing in S-waves. This approach employs an inversion scheme aimed at reconstructing the seismic spectrum of wavelets associated with a reflection event. This allows us to estimate the temporal position of each wavelet within a seismogram. Once the temporal position of each wavelet is determined, we can guide the calculated wavelet to better fit the corresponding observed signal, starting from a closer initial point. The utilization of this approach results in notably accurate predictions of elastic velocity models with a significant reduced number of iterations, especially for lower frequencies.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105602"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096558","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}

{"title":"Distributed acoustic sensing data enhancement using an iterative dictionary learning method","authors":"Zhenjie Feng","doi":"10.1016/j.jappgeo.2024.105603","DOIUrl":"10.1016/j.jappgeo.2024.105603","url":null,"abstract":"<div><div>Distributed acoustic sensing (DAS) has emerged rapidly in the past decade because of its superb features in sensing the elastic wavefield via a low-cost, high-density, and high-durability manner. The compromise for the unprecedentedly high resolution of DAS is the noise effect. There exists a mixture of many types of noise, including but not limited to random ambient and strong amplitude noise. To tackle the various types of challenging noise, we propose a novel denoising framework based on the dictionary learning scheme. Dictionary learning is comparable to sparse transforms like wavelet and curvelet but outperforms all the alternatives by adaptively learning the basis functions for sparsifying seismic data. Instead of applying dictionary learning in a traditional way as widely reported in the literature, we apply a robust and sophisticated way to real DAS data so that we can best utilize the feature-learning advantages of dictionary learning without sacrificing the signal-leakage problems in traditional denoising methods, especially when it comes to very complicated and noisy DAS datasets.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105603"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096567","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}

{"title":"Development of tunnel detection technology using the transient electromagnetic method in China","authors":"Li He ,&nbsp;Xue Junjie ,&nbsp;Fan Kerui ,&nbsp;Li Wenhan ,&nbsp;Li Xiu","doi":"10.1016/j.jappgeo.2025.105623","DOIUrl":"10.1016/j.jappgeo.2025.105623","url":null,"abstract":"<div><div>Recently, with the increasing complexity of the topography, geological conditions and working environment in tunnel engineering, rapid and fine detection is significance to the safe construction in tunnel. Transient electromagnetic (TEM) method has advantages in detection of sudden water and mud bursts in tunnels for its characteristic of sensitivity to low resistance anomalous. Focused on tunnel detection, multi-scene and multi-scale detection system of air-ground-underground transient electromagnetic method is analyzed. The research shows that the semi-airborne TEM is efficiently and well-adapted in complex area in the detection depth of 500 m, and the ground TEM has the advantage of large detection depth (2000 m). Moreover, transient electromagnetic advance prediction method has advantages in distinguishing the close adverse geological bodies (100 m) in drilling and Tunnel Boring Machine (TBM) tunnel. Synthesize the advantages of these methods, explore to combine the advanced prediction with the preliminary geological survey to realize the integration of air and sky for efficient exploration.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105623"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096577","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}

{"title":"A multi-proxy geophysical study at the site of the Temple of Olympian Zeus, Athens, Greece, to address and resolve challenging archaeological and engineering issues","authors":"G. Apostolopoulos,&nbsp;K. Leontarakis,&nbsp;C. Orfanos,&nbsp;S. Karizonis","doi":"10.1016/j.jappgeo.2024.105618","DOIUrl":"10.1016/j.jappgeo.2024.105618","url":null,"abstract":"<div><div>Greece, has many important archaeological structures and monuments, as well as a plethora of natural or anthropogenic hazards. Preservation and protection of the monuments are needed, and the deployment of geophysical surveys as part of integrated geoscience and engineering studies play important parts. The Ephorate of Antiquities of Athens had laid plans to undertake restoration works for the Temple of Olympian Zeus, located in the center of Athens, Greece. A geophysical study was completed beforehand to detect the extent of voids found by excavation as well as any other hidden anthropogenic structures around or in the area of the Temple. A 3D electrical resistivity tomography (ERT) survey detected the arched voids, which were used as tanks in the Roman sewer system and later by General Makrygiannis as a place of contemplation, and a complex of tanks to the north of the large ones have been detected by using ground penetrating radar (GPR). A detailed local mode analysis of the subsequent frequency-domain electromagnetic (FEM) survey detected the ancient stone drain lines that brought water to the tanks. A vast surveyed area analysis has detected the distribution of near-surface geological formations. The FEM survey in the area of the Temple has revealed probable rock formations exhibiting two different textures and moisture, in the more loose formation, some linear features align with the existing columns, suggesting that they are probably part of the foundation design for the Temple. These linear features have also been detected by a 3D GPR survey. This multi-proxy geophysical survey provides useful information to guide the program of work that archaeologists and engineers have to carry out in order to protect archaeological monuments and to find hidden features that may create the need for a new design for the site as a whole.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105618"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136391","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}

{"title":"Surface and subsurface sinkholes and karstic cavities in the Uppermost Jurassic–Lower Cretaceous Sulaiy Formation in An Narjis District, Riyadh, Central Saudi Arabia: Field and geophysical investigation","authors":"Saad S. Alarifi","doi":"10.1016/j.jappgeo.2024.105612","DOIUrl":"10.1016/j.jappgeo.2024.105612","url":null,"abstract":"<div><div>Ground-penetrating radar (GPR) techniques have gradually improved for imaging different types of subsurface sedimentary structures, particularly in the top zone of carbonate rocks. The majority of typical underlying sedimentary heterogeneities, such as karst in An Narjis district north of Riyadh, Saudi Arabia, were created by natural processes. Geologically, the investigated area is dominated by limestone formations of the Arab and Sulaiy groups, allowing sinkholes, fractures, and collapse structures to emerge. This study employs field investigations and GPR to identify and detect the karst feature crucial for the construction of new urban areas to withstand the predicted socioeconomic pressures caused by the dense population. The GPR profiles were measured with an antenna of nominal central frequency 400 MHz, which was selected based on clutter limitations, depth of investigation, and desired resolution. The survey parameters, including time window and spatial and temporal sampling intervals, were estimated based on the relative dielectric permittivity of the encountered geologic materials and the frequency of the utilized antenna. A dewow filter, automatic gain control (AGC), background removal, predictive deconvolution, muting, time cut, and time-depth conversion were successively applied to all GPR profiles. The GPR radargrams were carefully analyzed by picking reflectors using phase follower and continuous pick, which were then combined and shown in layer show models. The GPR cross-sections and the derived layer show models highlight distinct reflection patterns (departure or broken parts of low amplitude reflections, diffraction hyperbolas, steeply dipping reflectors, resonant oscillations with no diffracted edges, chaotic background with no lateral continuity, and quasi-hyperbolic form), indicating karst features with different dimensions and depths while suggesting potential risks of collapse in certain areas. On the other hand, visually inspecting the outcrops of the Sulaiy Formation carbonates revealed NE-oriented widening karst fractures filled with red clay-rich residual deposits (karstic residue). GPR radargrams were compared to direct observation of geological features of karst structures found in exposures of vertical road cutting and exhibited a strong correlation. The study underscores the significance of proactive measures to mitigate these hazards in urban planning and construction. Mapping the risk areas, identifying early signs of sinkholes, and implementing preventive measures, such as reinforcing infrastructure, emerge as essential strategies to avert potential disasters. Overall, the integrated approach of field study and GPR presents a valuable method for understanding and addressing karst-related hazards in urban expansions, offering insights to safeguard against future risks in Riyadh's development and other sites with similar conditions.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105612"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096559","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}

{"title":"3-D granitic pluton model revealed from gravity data of the Nanling Range (South China): Implications for the WSn mineralization differences","authors":"Niannian Qu ,&nbsp;Minghua Zhang ,&nbsp;Jiabin Li","doi":"10.1016/j.jappgeo.2025.105626","DOIUrl":"10.1016/j.jappgeo.2025.105626","url":null,"abstract":"<div><div>The Nanling Range (South China) is well known by the multiple and large scale W<img>Sn mineralization belts related to intense and multi-stages magmatism in temporal and spatial dimensions. In this paper, we delineated deep concealed structures from the different wavelet order gravity anomalies, and constructed the 3-D model of granitic plutons in the Nanling Range. The delineated structures, including faults, Moho undulation and concealed granitic plutons, and the emplacement depth of granitic plutons show spatially coincident with the differences of the distribution features between the tungsten and tin deposits. The deep structures environment is different between the W and the Sn polymetallic mineralization, the former are mostly concentrated at the edge of Moho depression where the crustal faults are relatively developed, while the latter are mostly concentrated at the Moho uplift-depression connect zone, where the mantle faults are relatively developed. The tungsten deposits are mainly controlled by the crustal fault and the granite plutons with emplacement depth of about 10 km or even shallower, by contrast, the tin deposits are mainly controlled by the mantle fault and the granite plutons with emplacement depth of 20 km or even deeper. The lithospheric extension and asthenospheric upwelling, due to the subduction of the Pacific plate, cause the melting of the mantle and the laterally spreading in the thinned lithosphere zone, resulting the melting of the thickened crust. During the magma migration, influenced by the continuous melting of the crust and the migration distance, the content of the tungsten element and the tin element, and the fractionation degree, have changed, resulting the W<img>Sn mineralization differences in the Nanling Range.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105626"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097105","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}

{"title":"A fracture identification method using fractal dimension and singular spectrum entropy in array acoustic logging: Insights from the Asmari Formation in the M oilfield, Iraq","authors":"Hengyang Lv ,&nbsp;Jianhong Guo ,&nbsp;Baoxiang Gu ,&nbsp;Zuomin Zhu ,&nbsp;Zhansong Zhang","doi":"10.1016/j.jappgeo.2025.105631","DOIUrl":"10.1016/j.jappgeo.2025.105631","url":null,"abstract":"<div><div>As the exploration and development of fracture-type hydrocarbon reservoirs progress, accurately identifying reservoir fracture development is crucial for reservoir evaluation. This method is founded on array acoustic logging data, integrating fractal theory and singular spectrum analysis. It computes and evaluates the full-wave signals and dipole shear wave signals to assess their self-similarity and chaotic characteristics in various stratigraphic conditions. A comprehensive fracture identification method suitable for complex formations has been established, with its application to carbonate fracture-type reservoir characterization demonstrated through a case study of the Asmari Formation in the M oilfield, southeastern Iraq, as a case study. This method demonstrates an accuracy of approximately 90 % in identifying both low-to-moderate and high-angle fractures. Compared to traditional mode wave attenuation methods, this approach significantly reduces errors in complex wellbore environments, providing a new technical pathway for exploring and developing fracture-type hydrocarbon reservoirs.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105631"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096576","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}

{"title":"Research on artificial intelligence inversion methods for advanced detection of mine transient electromagnetic method","authors":"Yu Tang ,&nbsp;Benyu Su ,&nbsp;Jingcun Yu ,&nbsp;Enyuan Wang ,&nbsp;Meiqi Qian ,&nbsp;Tongyi Sun ,&nbsp;Junjie Xue ,&nbsp;Z. Li","doi":"10.1016/j.jappgeo.2025.105621","DOIUrl":"10.1016/j.jappgeo.2025.105621","url":null,"abstract":"<div><div>During coal mining process, water inrush accidents primarily occur in the stage of roadway excavation and it accounts for approximately 70 %. At present, the most effective method is the mine transient electromagnetic advanced sounding for detecting water rich zones ahead of roadway excavation. Currently, the primary data processing technique for mine transient electromagnetic detected data is the fan shaped apparent resistivity method. However, it cannot meet the demands of coal mine geological transparency and precise mining. Besides, coal mine roadways are located in the three dimensional space and traditional transient electromagnetic 3D inversion involves massive computational quantity and it consumes a long computation time. Hence, it also cannot meet the requirement of rapid processing and real-time monitoring. Machine learning inversion algorithms can learn from large datasets and it can quickly identify target bodies. Based on coal mine hydrogeological characteristics, 1500 coal mine hydrogeological models were established to train sample data. Besides, finite volume method is employed to calculate mine transient electromagnetic responses to form sample database. During the 3D forward modeling of coal mine transient electromagnetic, three scenarios of coal mine hydrogeological geology are considered and they are disaster geological bodies located in the coal seam, floor and roof, respectively. Moreover, a 3D convolutional neural network was developed to conduct three-dimensional inversion calculations for transient electromagnetic data in coal mines. Furthermore, the comparison between the forward model and the inversion results have been done and it demonstrates the feasibility of machine learning for 3D inversion in transient electromagnetic applications within mines. Finally, machine learning inversion was conducted by field data from Huaibei coal mining and the inversion results were generally consistent with information of drilling geology. Hence, the field data inversion demonstrates its effectiveness. Additionally, the total inversion time was 485 milliseconds and it is less than one second. All in all, this high inversion speed lays the foundation for real-time processing and intelligent detection of transient electromagnetic signals in the coal mine.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"233 ","pages":"Article 105621"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092046","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}