Journal of Applied Geophysics最新文献

{"title":"Dynamic mechanical properties and energy analysis of argillaceous siltstone and quartzite under impact loading","authors":"Junxiang Wang,&nbsp;Ruibin Han,&nbsp;Song Tang,&nbsp;Gang Sun,&nbsp;Hao Wang","doi":"10.1016/j.jappgeo.2025.105934","DOIUrl":"10.1016/j.jappgeo.2025.105934","url":null,"abstract":"<div><div>To explore the dynamic mechanical properties and energy dissipation characteristics of different rock types under impact loading, critical for deep tunnel engineering, dynamic compression tests were performed on argillaceous siltstone and quartzite using a Split-Hopkinson Pressure Bar (SHPB) device, under various strain rates and stress conditions, along with finite element simulations in LS-DYNA, employing the RHT constitutive model, to delve deeper into the failure mechanisms of rocks under various stress states. Unlike prior studies, this research integrates true triaxial conditions to reflect complex in-situ stresses. The results show that as the strain rate increases, the peak strength of both rock types significantly increases, and the failure mode shifts from block failure to powder-like failure, with energy exhibiting an upward trend. The increase in incident and transmitted energy was more substantial than that in reflected and dissipated energy. At a strain rate exceeding 75 s⁻¹, under non-confined conditions, the incident energy of the two rock types increases by 94.90 % and 130.4 %, respectively, and the transmitted energy increases by 120.9 % and 130.2 %. Under confining pressure, the incident energy increases by 142.1 % and 109.5 %, while the transmitted energy increases by 154.9 % and 132.0 %. Under true triaxial conditions, the rocks exhibited shear failure as their failure mechanism. The argillaceous siltstone displayed crack propagation in a “V”-shaped pattern on the intermediate principal stress plane, while quartzite exhibited double-crack shear failure on the intermediate principal stress plane.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105934"},"PeriodicalIF":2.1,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121007","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 sandstone blasting damage and fracturing based on nuclear magnetic resonance and micro CT technology","authors":"Xianlei Zhu ,&nbsp;Huikang Peng ,&nbsp;Zhaoyang Wang ,&nbsp;Yanbing Wang","doi":"10.1016/j.jappgeo.2025.105935","DOIUrl":"10.1016/j.jappgeo.2025.105935","url":null,"abstract":"<div><div>There are many types of rocks and complex distribution of internal pores, which pose challenges for precise blasting of rock layers. Therefore, studying the spatial distribution of pores inside rocks and exploring the mechanisms of pore development and crack propagation under explosive loads is of great significance for fine blasting. This study takes red sandstone as an example and combines nuclear magnetic resonance (NMR) and computed tomography (CT) techniques to investigate the effect of porosity on sandstone fracture under explosive loading. Numerical simulation techniques are used to explore the mechanism of pore damage inside sandstone under explosive loading. The results showed that after the blasting, there was a significant “draw close” phenomenon between peak 1 and peak 2 in the <em>T</em>_<em>2</em> spectrum, and the signal intensity amplitude of peak 2 was much greater than that of peak 1. Sandstones with higher porosity typically have higher signal intensity amplitudes at peak 1 and peak 2, and exhibit more severe macroscopic fractures within the sandstone. After blasting, the number of pores in sandstone increases, and internal damage gradually shifts from microscopic rupture to macroscopic rupture. As the quality of explosives improves, the average and peak values of <em>T</em>₂ gradually increase, and the differences in average pore size and pore size become more pronounced. The distribution of pores gradually becomes uneven and irregular. Sandstones with higher porosity have faster propagation and attenuation rates of shock waves during blasting, larger pressure peaks, and more frequent propagation and alternation between pores and sandstone skeletons. This makes it easier for the initial pore throat structure to reach the bearing limit, promoting connectivity between sandstone pores.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105935"},"PeriodicalIF":2.1,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050586","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":"Numerical analysis of multi-source and multi-component response characteristics in the semi-airborne transient electromagnetic method","authors":"Chuantao Yu ,&nbsp;Yating Guo ,&nbsp;Junjie Xue ,&nbsp;Ziqian Zhang","doi":"10.1016/j.jappgeo.2025.105930","DOIUrl":"10.1016/j.jappgeo.2025.105930","url":null,"abstract":"<div><div>The semi-airborne transient electromagnetic method (TEM) detects geological structures with a single transmitter field source, which receives only the vertical component of the magnetic field and is unsuitable for detecting complex geological structures. This study proposes a three-dimensional vector finite element method in the time domain for analyzing and comparing the three-component response characteristics of multi-transmitter-source TEMs with different types, quantities, setting methods, surrounding rock resistivity conditions, and receiving offsets. Four major findings emerged from the study. First, the semi-airborne TEM detected underground low-resistivity anomalous bodies much more effectively than high-resistivity anomalous bodies. Second, after deploying multiple transmitter sources in the semi-airborne TEM, the intensity of the induced magnetic field increased and the distribution law of the secondary field electromagnetic response of an abnormal body better matched that of the original model. Third, the range of low-resistivity anomalous bodies can be effectively identified from the <em>z</em> and <em>x</em> components of the electromagnetic response. Directly above the anomaly, the <em>z</em> component shows a high electromagnetic response while the <em>x</em> component shows polarity reversal and a minimal response. Fourth, excessively large offset values deteriorate the data acquisition and signal processing interpretation. Controlling the offset of the working area to within 2–4 times the side length of the transmitting-source layout area is recommended in practical applications.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105930"},"PeriodicalIF":2.1,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050587","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":"Microseismic response characteristics and stress anomaly zoning in deep outburst-prone coal seams with multi-concealed structures: A case study","authors":"Rentao Gou ,&nbsp;Dazhao Song ,&nbsp;Xueqiu He ,&nbsp;Jianguo Zhang ,&nbsp;Minggong Guo ,&nbsp;Shengquan He ,&nbsp;Zhenlei Li ,&nbsp;Gang Yang ,&nbsp;Liming Qiu","doi":"10.1016/j.jappgeo.2025.105932","DOIUrl":"10.1016/j.jappgeo.2025.105932","url":null,"abstract":"<div><div>Coal and gas outburst disasters represent a significant safety threat in deep coal mining operations, with high stress concentration in concealed geological structures further exacerbating disaster risks. This study focuses on the Ji₁₅–21,050 working face in Pingmei Group's No.8 Mine, employing high-precision microseismic monitoring systems and seismic wave computed tomography (CT) technology to systematically investigate the microseismic response characteristics and dynamic evolution mechanisms of stress anomaly zones in deep coal seams containing multiple concealed structures under high-stress conditions. By analyzing the spatiotemporal distribution of microseismic events during different mining stages, the response relationships within stress field anomalies were elucidated. The Energy Coefficient of Variation (ECV) and logarithmic Energy Index (lg(EI)) were introduced to quantitatively characterize the heterogeneous energy release characteristics during coal-rock fracturing. The results demonstrate that: 1) Faults and concealed structures significantly influence stress field distribution, with microseismic event clustering characteristics showing strong consistency with fault activation processes; 2) Abrupt changes in ECV and lg(EI) values during specific stages can effectively serve as precursors for coal-rock instability risks; 3) Seismic wave CT inversion technology enables visual delineation of stress anomaly zones, verifying the spatial correlation between high-velocity wave zones and gas-enriched regions. This research provides theoretical foundations and technical support for monitoring, early warning, and prevention of coal-rock dynamic disasters in deep coal mines.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105932"},"PeriodicalIF":2.1,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019108","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":"Enhancing seismic moment tensor inversion via meta-heuristic optimization: A case study on mining-induced seismicity at fankou Lead-Zinc mine","authors":"Wei Wei ,&nbsp;Xiaojie Shen ,&nbsp;Jian Zhou ,&nbsp;Yangfeng Xu","doi":"10.1016/j.jappgeo.2025.105929","DOIUrl":"10.1016/j.jappgeo.2025.105929","url":null,"abstract":"<div><div>Moment Tensor Inversion (MTI) plays a pivotal role in seismology, employed for discerning focal mechanisms and analyzing microseismic (MS) events. However, the efficacy of MTI is intricately tied to the accuracy of its input parameters. This paper introduces a systematic exploration of the application of meta-heuristic algorithms to enhance seismic MTI through meticulous parameter optimization. The primary objective of this study is to harness advanced optimization techniques, mitigating challenges associated with nonlinearity, trade-offs, and computational efficiency, thereby enhancing the precision and reliability of source parameter estimates. Against the backdrop of 17 MS data and 125 blasting data points from the Fankou Lead-Zinc Mine, three meta-heuristic algorithms—Moth-flame optimization algorithm (MFO), Multi-Verse Optimizer (MVO), and Dragonfly algorithm (DA)—were strategically employed to optimize MTI. The optimization process specifically targeted the adjustment of three critical input parameters: anomaly sensor, P-wave first arrival picking threshold, and velocity model, with the overarching goal of refining the quality of the focal mechanism solution. Customized parameters of the meta-heuristic algorithm were performed to ensure its adaptability to MTI problem-solving, followed by a comprehensive performance comparison of each algorithm. Subsequently, the optimization effects were scrutinized through fitness function values. The blasting and MS events were structurally interpreted. Outcomes of the study reveal that MFO outperforms other heuristic algorithms, achieving an impressive success rate (SR = 99 %) and reduced computation time (3.28 min) with a smaller number of population (NP = 40) and number of iterations (NG = 60). The median fitness values for MFO-MTI in the case of MS data and blasting data were 0.257 and 0.118, respectively, significantly surpassing non-optimized results (0.497 and 0.219). Through the analysis of focal mechanism, the average strike and dip of MS events are 17.41° and 71.11°, which are basically consistent with the fault strike (7–25°) and dip (75–85°) on the east side of the mining area. In summary, this research contributes a systematic approach to enhance seismic MTI, demonstrating the superior efficacy of MFO in optimizing focal mechanism, particularly in the context of mining-induced seismicity.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105929"},"PeriodicalIF":2.1,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050759","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":"Clutter suppression for ground penetrating radar echo signal based on layer division processing","authors":"Hao Wan,&nbsp;Shuai Yang,&nbsp;Jixiong Xiao","doi":"10.1016/j.jappgeo.2025.105923","DOIUrl":"10.1016/j.jappgeo.2025.105923","url":null,"abstract":"<div><div>To improve the accuracy of underground target identification, clutter must be efficiently suppressed in ground-penetrating radar(GPR) echo signal. Classic methods such as Robust Principal Component Analysis (RPCA) and Factor Group-Sparse Regularization (FGSR) have been widely applied in GPR signal processing. RPCA separates background and target signals based on low-rank and sparse decomposition. FGSR removes large-scale surface clutter using morphological operations. However, both methods face limitations under non-uniform subsurface conditions, where the background and target signals are highly complex and overlapping. Based on the characteristics of echo signal, a clutter suppression method is proposed, namely adaptive layer division processing combined with two-dimensional wavelet transform. A Peplinski's heterogeneous soil model containing underground targets is constructed in gprMax to evaluate the effectiveness and applicability of the proposed method. By analyzing the statistical properties of kurtosis and skewness, adaptive layer division processing is applied to preliminarily separate the direct wave, background clutter, and target echo reflection signals. The two-dimensional wavelet transform is then applied to suppress clutter in the target signal layer, and the final image is reconstructed. Simulation results show that adaptive layer division processing enhances the clutter suppression performance of conventional denoising methods. The proposed method, integrating two-dimensional wavelet transform, demonstrates superior clutter suppression performance, where the signal-to-clutter ratio (SCR) is improved to 15.45 dB, the image entropy is reduced to 2.51, the improvement factor (IF) achieves a positive value of 1.63 dB, and the peak signal-to-noise ratio (PSNR) rises to 27.63 dB. The proposed method provides an effective approach for processing GPR echo signals under non-uniform subsurface conditions.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105923"},"PeriodicalIF":2.1,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050585","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":"Seismic trace interpolation via score-based diffusion model with wavelet convolution","authors":"Jun Wang,&nbsp;XinRui Chen,&nbsp;BaoDi Liu","doi":"10.1016/j.jappgeo.2025.105928","DOIUrl":"10.1016/j.jappgeo.2025.105928","url":null,"abstract":"<div><div>Seismic trace interpolation is a pivotal procedure in seismic data processing. The existing deep-learning interpolation methods necessitate masks during the training process, and the type of mask utilized for training should align with the missing type of test data. Any discrepancy may result in a substantial drop in interpolation performance, or even complete interpolation failure. To overcome this limitation, we leverage the score-based diffusion model, namely the noise conditional score network (NCSN), for seismic trace interpolation. NCSN learns data distribution through score matching, allowing neural networks to capture data priors without being affected by mask forms, thus enabling the recovery of data lost in any form. However, vanilla convolutions in NCSN excel at extracting local features but struggle with capturing global representations. To address this issue, we design a wavelet convolution (WC) operator that can simultaneously capture and process information in both spatial and spectral domains. This WC operator can be seamlessly integrated into any part of NCSN, enabling NCSN to possess both local and global receptive fields. Consequently, the NCSN embedded with WC demonstrates strong representation capabilities for both the details and overall trends of seismic events. Synthetic and field experimental results demonstrate that our WC-NCSN excels in flexibly handling missing forms and achieving high interpolation accuracy, all with just a single maskless training. Nevertheless, the inference process of NCSN leads to relatively low computational efficiency for our method. Future research may focus on reducing computational complexity.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105928"},"PeriodicalIF":2.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050758","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":"Determining the location of high-depth buried pipes using shallow seismic reflection techniques","authors":"Keisuke Kamiyama ,&nbsp;Tsukasa Mizutani ,&nbsp;Yasuyuki Hodotsuka","doi":"10.1016/j.jappgeo.2025.105917","DOIUrl":"10.1016/j.jappgeo.2025.105917","url":null,"abstract":"<div><div>As the complexity of underground infrastructure increases, the demand for accurate non-destructive underground exploration grows. Ground Penetrating Radar (GPR) is commonly used for such explorations; however, its effectiveness is limited beyond depths of approximately 1 m due to significant electromagnetic wave attenuation. This study aims to surpass these depth limitations by employing seismic waves for precise location estimation of buried pipes. Real-scale experiments were conducted on sites with pipes buried at depths 1.5 m and 2.5 m, demonstrating the effectiveness of our proposed method. We introduced a signal and image processing algorithm, enhanced integrating ridge detection and template matching, for more accurate buried pipe location estimation. Results revealed that the locations of buried pipes could be estimated with an error margin of less than 0.2 m. Furthermore, our approach not only enables objective visualization of survey results but also suggests a reduction in the number of sensors required compared to traditional expert visual inspections.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"243 ","pages":"Article 105917"},"PeriodicalIF":2.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145050757","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":"Generalized semblance and multi-CMP traveltime parameter estimation using Singular Value Decomposition","authors":"Anderson S. Santos ,&nbsp;Bjorn Ursin ,&nbsp;Michelângelo G. Silva ,&nbsp;Milton J. Porsani","doi":"10.1016/j.jappgeo.2025.105915","DOIUrl":"10.1016/j.jappgeo.2025.105915","url":null,"abstract":"<div><div>This work introduces a novel approach using a multiparametric equation specifically applied within the multi-CMP domain. Our method leverages SVD semblance, capturing the most coherent signal in the first eigenimage. This enables the determination of 2D stacking parameters for a set of CMP families, including velocity and dip of events between lateral CMPs, through analysis akin to conventional velocity analysis. Unlike traditional methods employed in CRS and CDS, such as global and local optimization strategies, our approach does not require an initial velocity model or additional parameters. CRS methods typically involve three parameters in 2D, while CDS methods may require more. In contrast, our method focuses on key parameters like velocity and dip, reducing complexity while maintaining accuracy. The use of the power method results in a reduced computational cost without sacrificing precision in stacking parameter estimation. The method was applied to both synthetic data with varying noise levels and real data from the Jequitinhonha and Camamu Basins, located along the Brazilian passive margin. The results were successful in enhancing the signal-to-noise ratio and improving the continuity of reflectors, demonstrating the robustness and practical utility of our approach.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105915"},"PeriodicalIF":2.1,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019107","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":"Reflectivity sparsity-constrained joint migration inversion for VTI media","authors":"Yifei Chen,&nbsp;Deli Wang,&nbsp;Bin Hu,&nbsp;Shiqi Lv","doi":"10.1016/j.jappgeo.2025.105927","DOIUrl":"10.1016/j.jappgeo.2025.105927","url":null,"abstract":"<div><div>Traditional joint migration inversion (JMI) algorithm for anisotropic media, rooted in one-way wave equation, simulate wave propagation in VTI media. VTI-JMI performs reflectivity migration and velocity models inversion by minimizing the mismatch between observed and modelled data. This paper integrates a reflectivity-constrained velocity estimation algorithm into the VTI-JMI framework to mitigate the impact of parameter trade-offs and noise accumulation in VTI-JMI. The proposed approach constructs a regularization constraint term by utilizing residual between iterative reflectivity and reflectivity approximated from the estimated velocity to refine velocity updates. Moreover, it incorporates the Non-subsampled Shearlet transform (NSST) to achieve multiscale sparse denoising of reflectivity image, for enhancing constraint quality. The constraint does not require large extra computational costs and accurate initial models. Compared to traditional VTI-JMI, the proposed method significantly reduces noise in reflectivity image, while achieving higher precision in velocity models with sharper reflectors. Numerical experiments demonstrate the validity of our proposed algorithm.</div></div>","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"242 ","pages":"Article 105927"},"PeriodicalIF":2.1,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996579","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}