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Nanometer-sized magnetite and its impact on 1H NMR petrophysical characterization of synthetic carbonates 纳米磁铁矿及其对合成碳酸盐1H NMR岩石物性表征的影响
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.jappgeo.2025.106058
Jonatã Barbosa Teixeira , Gabriella Fazio , Silvia Lorena Bejarano Bermudez , Ângela Leão Andrade , Vitor Emmanuel Paes Silveira , Agide Gimenez Marassi , Mariane Candido , Arthur Gustavo de Araújo Ferreira , José Domingos Fabris , Luiz Carlos Bertolino , Marco Antônio Rodrigues de Ceia , Daniel Ribeiro Franco , Tito José Bonagamba , Ricardo Ivan Ferreira Trindade
Magnetic minerals, such as magnetite, can significantly influence 1H Nuclear Magnetic Resonance (NMR) measurements, introducing biases that can affect petrophysical interpretations in reservoir rocks. Understanding these effects is crucial for improving the accuracy of fluid content estimations in subsurface evaluations. In this study, we investigate how nanometric-sized magnetite impacts T₂ relaxation times in synthesized carbonate samples with controlled porosity and magnetite concentrations. Twelve carbonate samples were synthesized with varying magnetite content (0.0 %–0.8 % wt.), ensuring a controlled environment for evaluating NMR responses. These samples underwent petrophysical (bulk volume, pore volume, grain density, and NMR), mineralogical (XRD and SEM-EDS), and magnetic (low-field magnetic susceptibility, hysteresis loop, FORC, and IRM measurements) characterization to ensure the integrity of both the synthesis and the magnetite contamination. Our findings indicate that (1) the synthesis successfully produced samples with consistent properties, showing a decrease in pore volume with increasing cementing fluid and a corresponding enhancement of magnetic properties with higher magnetite contamination; (2) 1H NMR-based porosity estimates were significantly affected by magnetite contamination, displaying a noticeable flattening of T₂ relaxation curves and a reduction in relaxation times, likely due to enhanced diffusional effects; and (3) increasing magnetite concentrations induced nonlinear distortions in porosity ϕNMR, leading to systematic deviations from expected values and, consequently causing porosity underestimation. These results underscore the need to account for magnetic mineral contamination in NMR analyses of carbonate reservoirs and highlight the importance of controlled research into magnetite's impact on petrophysical assessments.
磁性矿物,如磁铁矿,可以显著影响1H核磁共振(NMR)测量,引入可能影响储层岩石物理解释的偏差。了解这些影响对于提高地下评价中流体含量估计的准确性至关重要。在这项研究中,我们研究了纳米级磁铁矿在控制孔隙度和磁铁矿浓度的情况下对合成碳酸盐样品中T₂弛豫时间的影响。合成了12个不同磁铁矿含量(0.0% - 0.8% wt.)的碳酸盐样品,确保了评估核磁共振响应的受控环境。这些样品进行了岩石物理(体积、孔隙体积、颗粒密度和核磁共振)、矿物学(XRD和SEM-EDS)和磁学(低场磁化率、磁滞回线、FORC和IRM测量)表征,以确保合成和磁铁矿污染的完整性。研究结果表明:(1)合成成功制备的样品具有一致的性能,孔隙体积随固井液的增加而减小,磁性能随磁铁矿污染的增加而增强;(2)基于核磁共振成像的孔隙度估计受磁铁矿污染的显著影响,显示出明显的T₂弛豫曲线变平和弛豫时间减少,可能是由于扩散效应增强;(3)磁铁矿浓度的增加导致孔隙度的非线性畸变,导致孔隙度偏离期望值,从而导致孔隙度低估。这些结果强调了在碳酸盐岩储层的核磁共振分析中考虑磁性矿物污染的必要性,并强调了对磁铁矿对岩石物理评价的影响进行控制研究的重要性。
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引用次数: 0
Electrical resistivity inversion based on the minimum support gradient functional for water-bearing structure in tunnel 基于最小支撑梯度函数的隧道含水构造电阻率反演
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1016/j.jappgeo.2025.106039
Zhaoyang Deng , Shuo Zhang , Pengyu Jing , Lichao Nie , Shilei Zhang
Electrical resistivity tomography plays a critical role in the investigation of tunnel water and mud inrush, but its inversion is an ill-posed and non-unique problem that requires regularization. Traditional smooth regularization ensures the overall stability of the inversion and provides continuous, smooth results. However, when applied to tunneling, especially in areas with clear geological boundaries (e.g. faults, karst cave), it is limited in its ability to produce sharp boundaries and blocky features. To address this limitation, this study incorporates a focusing regularization technique—the Minimum Support Gradient (MSG) functional—into a tunnel resistivity inversion framework. We first analyze the composition of several regularization terms and highlight the advantages of MSG in preserving sharp structural boundaries. Numerical simulations of typical water-bearing structures demonstrate that the proposed method effectively delineates the geometry of water-rich features and achieves improved resistivity recovery. In addition, the method was successfully applied to the Central Yunnan Water Diversion Project, where it effectively identified water-bearing structures in front of the tunnel face.
电阻率层析成像在隧道涌水涌泥研究中起着至关重要的作用,但其反演是一个病态且非唯一的问题,需要正则化。传统的平滑正则化保证了反演的整体稳定性,并提供连续、平滑的结果。但是,在隧道掘进中,特别是在地质边界明确的地区(如断层、溶洞),其产生清晰边界和块状特征的能力有限。为了解决这一限制,本研究将聚焦正则化技术-最小支持梯度(MSG)函数-纳入隧道电阻率反演框架。我们首先分析了几个正则化项的组成,并强调了MSG在保持清晰结构边界方面的优势。典型含水构造数值模拟结果表明,该方法能有效圈定富水构造的几何形态,提高了电阻率恢复。此外,该方法还成功应用于滇中引水工程,有效地识别了隧洞工作面前方含水构造。
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引用次数: 0
Automatic velocity spectrum picking method based on a layer-wise fusion strategy 基于分层融合策略的速度谱自动提取方法
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.1016/j.jappgeo.2025.106031
Xiaodong Sun , Xichao Shi , Pengjie Xue , Ning Qin
The accuracy of seismic velocity analysis critically determines the quality of seismic data imaging. However, traditional manual picking methods suffer from low efficiency, while existing automated techniques often fail to effectively capture the multiscale characteristics of seismic data. To address these challenges, this paper proposes an automatic velocity spectrum picking method based on layer-wise multimodal fusion(MMNet). The approach constructs a multimodal neural network architecture based on U-Net, employing a layer-wise fusion strategy to hierarchically integrate features from both velocity spectra and Common Middle Point(CMP) gathers, thereby enhancing multiscale feature extraction. Furthermore, the method incorporates Transformer modules with multi-head attention mechanisms to achieve efficient parallel processing and semantic understanding of multimodal data. Experimental results on both 2D/3D synthetic models and field datasets demonstrate that the proposed method outperforms conventional approaches in terms of picking accuracy, noise resistance, and computational efficiency, providing a more reliable automated solution for seismic data processing.
地震速度分析的准确性直接决定了地震资料成像的质量。然而,传统的人工采集方法效率较低,而现有的自动化技术往往不能有效地捕捉地震资料的多尺度特征。为了解决这些问题,本文提出了一种基于分层多模态融合(MMNet)的速度谱自动提取方法。该方法构建了一种基于U-Net的多模态神经网络架构,采用分层融合策略对速度谱和共中点(CMP)聚类特征进行分层融合,从而增强了多尺度特征提取能力。此外,该方法还结合了具有多头关注机制的Transformer模块,实现了多模态数据的高效并行处理和语义理解。在2D/3D合成模型和现场数据集上的实验结果表明,该方法在拾取精度、抗噪性和计算效率方面优于传统方法,为地震数据处理提供了更可靠的自动化解决方案。
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引用次数: 0
Methods and applications of potential field modeling of finite distributions 有限分布的势场建模方法及应用
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.jappgeo.2025.106066
Dimitrios Tsoulis , Georgia Gavriilidou , Maria Tsagkalidou , Mohammad Poursina , Alex Ho , Margrethe Wold
The evaluation of the gravity field induced by a finite mass distribution is an interdisciplinary research topic with a wide number of applications in geodesy, geophysics and astronomy. Starting from the equation of motion, modeling of the force component due to a given distribution is a challenging procedure. The scope of the paper is to review different methodologies available for this computation. The considered techniques examine both analytical and numerical evaluation of the corresponding integral expressions and include the polyhedral and prismatic modeling, surface and volume integral methods, series expansions and spherical harmonics, dynamic modeling of polyhedral shapes and gravity signal changes. In addition, three state-of-the-art applications related to potential field modeling are presented. Firstly, the computation of mutual potentials in the frame of studying the dynamics of binary mass systems and their interactions. Secondly, the stochastic representation of asteroid shape models in order to compute gravity signal variations implied by specific mass changes, an approach suited to model time variable gravity fields. Thirdly, the calculation of terrain corrections based on the evaluation of regional potential fields using Digital Terrain Model data.
有限质量分布引起的重力场评价是一个跨学科的研究课题,在大地测量学、地球物理和天文学等领域有着广泛的应用。从运动方程出发,对给定分布的力分量进行建模是一个具有挑战性的过程。本文的范围是回顾可用于此计算的不同方法。考虑的技术检查了相应积分表达式的解析和数值评估,包括多面体和棱镜建模,表面和体积积分方法,级数展开和球面谐波,多面体形状和重力信号变化的动态建模。此外,还介绍了与势场建模相关的三种最新应用。首先,在研究二元质量系统动力学及其相互作用的框架下,计算相互势。其次,建立了小行星形状模型的随机表示,以计算质量比变化所隐含的重力信号变化,这是一种适合时变重力场模型的方法。第三,利用数字地形模型数据估算区域势场,计算地形改正量。
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引用次数: 0
Failure laws of the backfill borehole surrounding rock under three-dimensional non-hydrostatic stress field: Insight into the first principal deviatoric stress and strain energy density 三维非静水应力场作用下回填钻孔围岩破坏规律:第一主偏应力与应变能密度的解析
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-17 DOI: 10.1016/j.jappgeo.2025.106071
Chunkang Liu , Hongjiang Wang , Shuangcheng Du , Yafei Zhai
<div><div>Effectively analyzing the failure risk in backfill borehole (BFB) is important in exploiting metal and coal resources in complex deep formations. The distribution laws of the first principal deviatoric stress (FPDS) field and strain energy density (SED) in BFB surrounding rock are analyzed theoretically. The analysis is conducted under a three-dimensional (3D) non-hydrostatic stress field to explore the failure laws of the surrounding rock. The correctness of theoretical results is verified by numerical simulation of plastic zone and engineering case. Results show that the FPDS field in the BFB surrounding rock varies obviously in different dominant stress fields. The maximum of FPDS occurs within the range of 55° to 65° under <span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>V</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span>, and the field displays an ‘8’-shaped distribution, indicating a potential ‘8’-shaped failure zone. When <span><math><msub><mi>σ</mi><mi>V</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span> or <span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>V</mi></msub></math></span>, the maximum of FPDS appears in the direction parallel to <span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span> or <span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span>, and the field presents either an ‘8’-shaped or elliptical distribution. Moreover, the distribution characteristics of SED partially reveal the failure pattern of the BFB, and the theoretical SED analysis results show good agreement with the numerical simulation of the BFB plastic zone, thereby confirming the theoretical accuracy. The SED parallel to the direction of <span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span> and <span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span> differs significantly in both magnitude and its variation with changes in <em>λ</em>. Especially, under the conditions of equal <em>p</em> and unequal <em>q</em>, the SED decreases with <em>λ</em> within the range of 0° to 15° in the <span><math><msub><mi>σ</mi><mi>H</mi></msub></math></span> dominant stress field with <span><math><msub><mi>σ</mi><mi>V</mi></msub></math></span>><span><math><msub><mi>σ</mi><mi>h</mi></msub></math></span>, while which increases with <em>λ</em> under other conditions. A case study of BFB in a copper mine mutually verifies the consistency the FPDS field and SED distribution of the surrounding rock. Furthermore, the minimum mud-wall pressure is calculated using a Lode angle function considering the third invariant of the deviatoric stress, bringing a 24.206 % reduction of the growth rate. By extending classical mechanics with 3D stress and energy considerations, the r
有效分析回填井破坏风险对复杂深部金属、煤炭资源的开采具有重要意义。从理论上分析了BFB围岩第一主偏应力场和应变能密度的分布规律。在三维非静水应力场下进行分析,探讨围岩破坏规律。通过塑性区数值模拟和工程实例验证了理论结果的正确性。结果表明:在不同的主应力场下,BFB围岩的FPDS场存在明显的差异。在σH>;σV>;σh作用下,FPDS最大值出现在55°~ 65°范围内,场呈“8”型分布,表明存在潜在的“8”型破坏区。当σV>;σH>;σh或σH>; σH>; σV时,FPDS最大值出现在与σh或σh平行的方向,且场呈“8”形或椭圆形分布。此外,SED分布特征部分揭示了BFB的破坏模式,理论SED分析结果与BFB塑性区的数值模拟结果吻合较好,从而验证了理论精度。平行于σh和σh方向的SED的大小及其随λ的变化有显著差异。特别是在等p和等q条件下,σH主导应力场中,σV>; σH在0°~ 15°范围内,SED随λ减小,其他条件下SED随λ增大。以某铜矿BFB为例,验证了FPDS场与围岩SED分布的一致性。此外,使用考虑偏应力第三不变量的Lode角函数计算最小泥壁压力,使增长率降低24.206%。通过将经典力学扩展到三维应力和能量的考虑,研究结果解决了BFB围岩稳定性和破坏规律研究的空白,为BFB的工业应用和加固设计以及降低成本提供了有价值的见解。
{"title":"Failure laws of the backfill borehole surrounding rock under three-dimensional non-hydrostatic stress field: Insight into the first principal deviatoric stress and strain energy density","authors":"Chunkang Liu ,&nbsp;Hongjiang Wang ,&nbsp;Shuangcheng Du ,&nbsp;Yafei Zhai","doi":"10.1016/j.jappgeo.2025.106071","DOIUrl":"10.1016/j.jappgeo.2025.106071","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Effectively analyzing the failure risk in backfill borehole (BFB) is important in exploiting metal and coal resources in complex deep formations. The distribution laws of the first principal deviatoric stress (FPDS) field and strain energy density (SED) in BFB surrounding rock are analyzed theoretically. The analysis is conducted under a three-dimensional (3D) non-hydrostatic stress field to explore the failure laws of the surrounding rock. The correctness of theoretical results is verified by numerical simulation of plastic zone and engineering case. Results show that the FPDS field in the BFB surrounding rock varies obviously in different dominant stress fields. The maximum of FPDS occurs within the range of 55° to 65° under &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, and the field displays an ‘8’-shaped distribution, indicating a potential ‘8’-shaped failure zone. When &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; or &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, the maximum of FPDS appears in the direction parallel to &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; or &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, and the field presents either an ‘8’-shaped or elliptical distribution. Moreover, the distribution characteristics of SED partially reveal the failure pattern of the BFB, and the theoretical SED analysis results show good agreement with the numerical simulation of the BFB plastic zone, thereby confirming the theoretical accuracy. The SED parallel to the direction of &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; and &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; differs significantly in both magnitude and its variation with changes in &lt;em&gt;λ&lt;/em&gt;. Especially, under the conditions of equal &lt;em&gt;p&lt;/em&gt; and unequal &lt;em&gt;q&lt;/em&gt;, the SED decreases with &lt;em&gt;λ&lt;/em&gt; within the range of 0° to 15° in the &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; dominant stress field with &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;V&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;&gt;&lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;mi&gt;h&lt;/mi&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, while which increases with &lt;em&gt;λ&lt;/em&gt; under other conditions. A case study of BFB in a copper mine mutually verifies the consistency the FPDS field and SED distribution of the surrounding rock. Furthermore, the minimum mud-wall pressure is calculated using a Lode angle function considering the third invariant of the deviatoric stress, bringing a 24.206 % reduction of the growth rate. By extending classical mechanics with 3D stress and energy considerations, the r","PeriodicalId":54882,"journal":{"name":"Journal of Applied Geophysics","volume":"245 ","pages":"Article 106071"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840193","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
Induced polarization effects in transient electromagnetic data: A case study from the Hawiah volcanogenic massive sulfide deposit in Saudi Arabia 瞬变电磁数据中的诱导极化效应:以沙特阿拉伯Hawiah火山块状硫化物矿床为例
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-27 DOI: 10.1016/j.jappgeo.2025.106084
Hesham El-Kaliouby , Juntao Lu , Panagiotis Kirmizakis , Abid Khogali , Tim Eatwell , Tomos Bryan , Pantelis Soupios
In exploring volcanogenic massive sulfide (VMS) deposits, the transient electromagnetic (TEM) method is highly effective due to its sensitivity to metallic conductors such as sulfide minerals. A recent TEM survey over the Hawiah VMS deposit in Saudi Arabia utilized ten stations to investigate the distribution of VMS targets. Several stations exhibited anomalous fast decay curves attributed to induced polarization (IP) effects, a common characteristic of VMS minerals. Spectral IP (SIP) measurements of local VMS core samples indicated large IP effects, aligning with results from a previous time domain IP (TDIP) survey in the area. IP effects can distort TEM measurements, causing as fast decay followed by sign reversals, complicating interpretation when using conventional resistivity-only (RO) workflows. These distortions can result in unreliable interpretations, especially in regions with complex subsurface conditions. In this paper, we present a synthetic model analysis based on geological setting information, demonstrating that in scenarios with moderately resistive backgrounds and deeply buried high-polarizable bodies, TEM curves can exhibit anomalous fast decay in the middle to late time, aligning with the observed field data. Thus, this behavior serves as a key indicator of IP effects in the survey area. Through RO and IP-incorporated inversions, along with an uncertainty analysis of the resulting resistivity models, our findings show that the data is better fitted using an IP-incorporated inversion approach. This highlights the importance of analyzing anomalous decay in TEM data and supports adopting refined methodologies that account for IP effects. Such approaches are crucial for achieving accurate and reliable evaluations in areas with highly conductive and polarizable materials, like VMS deposits.
瞬变电磁(TEM)方法对金属导体(如硫化物矿物)的敏感性使其在火山成因块状硫化物矿床勘探中具有很高的效率。最近对沙特阿拉伯Hawiah VMS矿床进行的TEM调查使用了10个站点来调查VMS目标的分布。一些站点显示出异常的快速衰减曲线,这归因于诱导极化(IP)效应,这是VMS矿物的共同特征。对当地VMS岩心样本的频谱IP (SIP)测量表明,存在较大的IP效应,这与之前在该地区进行的时域IP (TDIP)调查结果一致。IP效应会扭曲TEM测量结果,导致快速衰减,然后是符号反转,这使得使用传统的纯电阻率(RO)工作流程进行解释变得复杂。这些扭曲可能导致不可靠的解释,特别是在地下条件复杂的地区。基于地质背景信息的综合模型分析表明,在中等电阻背景和深埋高极化体的情况下,瞬变电磁法曲线在中后期表现出异常的快速衰减,与现场观测数据一致。因此,这种行为可以作为调查区域IP效应的关键指标。通过RO和ip结合反演,以及对所得电阻率模型的不确定性分析,我们的研究结果表明,使用ip结合反演方法可以更好地拟合数据。这突出了分析TEM数据中异常衰减的重要性,并支持采用精细的方法来解释激电效应。这种方法对于在具有高导电性和极化材料的地区(如VMS沉积物)实现准确可靠的评估至关重要。
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引用次数: 0
Error calibration for cross-shaped magnetic gradient tensor system based on the improved differential evolution algorithm 基于改进差分进化算法的十字形磁梯度张量系统误差标定
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1016/j.jappgeo.2025.106080
Chenxu Dong, Zhuoxuan Li, Yuguo Li, Xuezhen Ding
Errors arising from sensor manufacturing and misalignment during installation have been shown to have a significant impact on the measurement accuracy of magnetic gradient tensor systems. This, in turn, can result in a reduction in detection performance in practical applications such as magnetic anomaly detection. This study proposes a high-precision error calibration method for a cross-shaped magnetic gradient tensor system. This method uses the Success-History based Adaptive Differential Evolution with Linear Population Size Reduction (L-SHADE) algorithm, an enhanced variant of the Differential Evolution (DE) algorithm, to estimate these error parameters. A unified optimization model has been developed that incorporates multiple sensor errors into a single calibration framework, thereby enabling one-step error correction. Simulation experiments are conducted under both conditions of absence of noise and conditions of presence of noise. In conditions of absence of noise, the discrepancy between the calibrated and theoretical total magnetic field is of the order of 106 nT, with all magnetic gradient tensor components and invariants tending toward zero. In field experiments, the maximum deviation between the calibrated total magnetic field and the actual geomagnetic field is 1.92 nT, and the maximum improvement ratio of tensor components reaches 979. The findings from both simulation and field trials have been shown to demonstrate that the proposed algorithm successfully attains high calibration accuracy and computational efficiency, thus providing a pragmatic approach for sensor error correction.
由于传感器的制造和安装过程中的不对准引起的误差对磁梯度张量系统的测量精度有很大的影响。这反过来又会导致磁异常检测等实际应用中检测性能的降低。提出了一种十字形磁梯度张量系统的高精度误差标定方法。该方法采用基于成功历史的线性种群大小缩减自适应差分进化(L-SHADE)算法,该算法是差分进化(DE)算法的一种增强变体,用于估计这些误差参数。已经开发了一个统一的优化模型,该模型将多个传感器误差合并到单个校准框架中,从而实现一步误差校正。在无噪声和有噪声两种情况下进行了仿真实验。在无噪声条件下,标定总磁场与理论总磁场之间的差异约为10−6 nT,所有磁梯度张量分量和不变量都趋于零。在现场实验中,标定总磁场与实际地磁场的最大偏差为1.92 nT,张量分量的最大改进比达到979。仿真和现场试验结果表明,该算法成功地实现了较高的校准精度和计算效率,为传感器误差校正提供了一种实用的方法。
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引用次数: 0
ME-YOLO: A novel real-time detection network for pavement interlayer distress using ground-penetrating radar ME-YOLO:一种基于探地雷达的路面夹层损伤实时检测网络
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-12-03 DOI: 10.1016/j.jappgeo.2025.106057
Senguo Cao , Congde Lu , Xiao Wang , Peng Zhang , Guanglai Jin , Wenlong Cai
Interlayer distress detection in asphalt pavement is critical for highway maintenance, as timely identification of pavement distress can ensure operational safety, reliability, and extended service life. However, the problems of feature information loss and the substantial confusable backgrounds significantly hinder detection accuracy. To address these limitations, we propose an enhanced network specifically designed for automated interlayer distress detection named ME-YOLO. Firstly, we design a Multiscale Adaptive Feature Fusion (MAFF) module, which aggregates more scale information by Adaptive Spatial Feature Fusion (ASFF). This design links all feature scales to make discriminative features in each scale propagate directly to subsequent modules, enriching semantic representations and mitigating the risk of feature loss, while leveraging shallow-layer features to strengthen spatial localization. Furthermore, the Efficient Partial Self-Attention (EPSA) module is introduced to suppress background interference in complex environments. Unlike conventional transformers, EPSA adopts partial self-attention operations with multi-path fusion, which can enable the network to acquire global representation capability with low computational overhead. Extensive experiments indicate that the ME-YOLO network outperforms the given state-of-the-art models, including Faster-RCNN, RT-DETR, YOLOv8s, and YOLOv11s, on the interlayer distress dataset. Compared to YOLOv5s, ME-YOLO achieves improvements of 2.2% in mAP0.5 and 3.5% in mAP0.5:0.95, while maintaining an inference speed of 6.7 ms per image. The source code will be available at https://github.com/caosenguo/ME-YOLO.
沥青路面夹层损伤检测对公路养护至关重要,及时识别路面损伤可以保证路面运行的安全性、可靠性和延长使用寿命。然而,特征信息的丢失和大量的背景混淆问题严重影响了检测的准确性。为了解决这些限制,我们提出了一个专门为层间自动遇险检测设计的增强网络,名为ME-YOLO。首先,设计了多尺度自适应特征融合(MAFF)模块,通过自适应空间特征融合(ASFF)聚合更多尺度信息;本设计将所有特征尺度联系起来,使每个尺度中的判别特征直接传播到后续模块,丰富语义表示,降低特征丢失的风险,同时利用浅层特征加强空间定位。此外,本文还引入了EPSA (Efficient Partial Self-Attention)模块来抑制复杂环境下的背景干扰。与传统的变压器不同,EPSA采用部分自关注的多路径融合运算,使网络能够以较低的计算开销获得全局表示能力。大量实验表明,在层间压力数据集上,ME-YOLO网络优于现有的最先进模型,包括Faster-RCNN、RT-DETR、YOLOv8s和YOLOv11s。与YOLOv5s相比,ME-YOLO在mAP0.5和mAP0.5:0.95中分别提高了2.2%和3.5%,同时保持了6.7 ms /张图像的推理速度。源代码可从https://github.com/caosenguo/ME-YOLO获得。
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引用次数: 0
Automated fault interpretation from gravity and magnetic data in covered areas using machine learning: A case study of the Eastern Tianshan orogenic belt 基于机器学习的覆盖区重磁数据自动断层解释——以东天山造山带为例
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1016/j.jappgeo.2025.106040
Huaqing Yang , Fan Xiao , Hao Jia , Yongzhang Zhou , Shu Jiang
Machine learning has emerged as a powerful tool for integrating multi-source geophysical data, such as gravity and magnetic measurements, to enhance geological mapping. The Eastern Tianshan region, characterized by its Gobi-desert landscape, poses significant challenges for understanding regional structures, thereby complicating geological mapping and exploration targeting. To address these challenges, this study employs machine learning methods to fuse gravity and magnetic data for automated fault interpretation. Predictor maps were generated by applying a suite of boundary enhancement techniques, including the total horizontal derivative, vertical derivative, tilt angle, analytic signal, theta map, total horizontal derivative tilt angle, horizontal tilt angle, enhanced analytic signal tilt angle, and enhanced tilt angle methods, to aerial gravity and magnetic data. Two machine learning algorithms, namely Random Forest (RF) and Deep Neural Networks (DNNs), were then applied to these predictor maps to automatically identify the spatial distribution of concealed faults beneath the Gobi-desert covered layer. The grid search method was used to optimize the parameter combinations for both models. The results indicate that the RF model achieved an average accuracy of 86.20 %, outperforming the DNNs model, which achieved an average accuracy of 78.22 %. Based on this comparative analysis, the RF model was selected for fault interpretation in the Eastern Tianshan region. This approach provides critical data-driven insights into the spatial distribution of concealed faults, offering valuable guidance for subsequent geological mapping and exploration efforts.
机器学习已经成为整合多源地球物理数据(如重力和磁测量)以增强地质测绘的强大工具。东天山地区以戈壁沙漠地貌为特征,对区域构造的认识提出了重大挑战,从而使地质填图和勘探目标复杂化。为了解决这些挑战,本研究采用机器学习方法融合重力和磁数据,以实现自动故障解释。通过对航空重磁数据应用一系列边界增强技术,包括总水平导数、垂直导数、倾斜角、分析信号、θ图、总水平导数倾斜角、水平倾斜角、增强分析信号倾斜角和增强倾斜角方法,生成预测图。然后将随机森林(Random Forest, RF)和深度神经网络(Deep Neural Networks, dnn)两种机器学习算法应用于这些预测图,自动识别戈壁沙漠覆盖层下隐伏断层的空间分布。采用网格搜索方法对两种模型的参数组合进行优化。结果表明,RF模型的平均准确率为86.20%,优于DNNs模型的平均准确率78.22%。在此基础上,选择RF模型进行东天山地区断层解释。这种方法为隐伏断层的空间分布提供了关键的数据驱动见解,为后续的地质填图和勘探工作提供了有价值的指导。
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引用次数: 0
Ductile-brittle failure transition of rocks subjected to temperature heating and water cooling in process of drilling with high confining pressure 高围压钻井过程中温度加热和水冷却作用下岩石的韧脆破坏转变
IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-24 DOI: 10.1016/j.jappgeo.2025.106037
Jing Wang, Mingming He, Haoteng Wang, Faning Dang
Thermal stress and cooling shock play a critical role in the drilling geothermal exploitation. To enhance drilling efficiency, cooling fluids are typically employed to reduce the temperature of the bit. In this study, digital drilling, compression tests and acoustic emission tests were conducted on rocks subjected to high-temperature heating and water cooling with varying confining pressures. A theoretical model of ductile-brittle failure transition of rock was established considering the friction effect and confining pressure during drilling. The evolution mechanism of drilling parameters and failure modes of rocks was investigated under the influence of thermal shock during the drilling process with varying confining pressure. The results show that with the gradual increase in cutting depth, rock exhibits a transition from ductile to brittle failure subjected to thermal shock. Thrust force, cutting force, mechanical specific energy (MSE), cutting depth and acoustic emission ringing counts all show a positive correlation with the increase of confining pressure. However, thrust force, cutting force and the critical cutting depth for the transition of failure modes are significantly reduced for rocks subjected to thermal shock during the drilling process. This suggests that the thermal shock weakens rock's mechanical properties and alters its failure mode. The study proposes an efficient and precise method for identifying the critical point of failure mode transition in rocks treated with thermal shock during high confining pressure drilling. This method offers a new perspective for understanding the behavior of rock break in complex thermal-mechanical- hydraulic coupled environments.
热应力和冷却冲击在钻井地热开采中起着关键作用。为了提高钻井效率,通常使用冷却液来降低钻头的温度。本研究对不同围压下的岩石进行了高温加热和水冷却的数字钻井、压缩试验和声发射试验。建立了考虑钻井过程中摩擦作用和围压作用的岩石韧脆破坏转变理论模型。研究了在不同围压条件下,热冲击作用下钻孔参数和岩石破坏模式的演化机制。结果表明:随着切割深度的逐渐增加,岩石在热冲击作用下由韧性破坏向脆性破坏转变;推力、切削力、机械比能(MSE)、切削深度和声发射环数均与围压的增加呈正相关。而岩石在钻进过程中受到热冲击时,推力、切削力和破坏模式转变的临界切削深度都明显减小。这表明热冲击削弱了岩石的力学特性,改变了岩石的破坏模式。该研究为高围压钻井中热冲击岩石破坏模式转变临界点的识别提供了一种高效、精确的方法。该方法为认识复杂热-力-水耦合环境下岩石破碎行为提供了新的视角。
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Journal of Applied Geophysics
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