Journal of Applied Geophysics最新文献_第9页

Integrated geophysical assessment of engineering site and subsurface structures: A case study in Kocaeli-Yazlık region, Türkiye 工程场地与地下结构的综合地球物理评价：以Kocaeli-Yazlık地区为例，浙江大学学报（自然科学版）

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-28 DOI: 10.1016/j.jappgeo.2025.106008

Suhaib Qasem, Bülent Oruç, Ertan Pekşen, Mustafa Abdalrazig, Doğukan Durdağ, Elnur Gasimov

This study applied three geophysical methods to delineate the lithology, velocities, elastic moduli of the shallow subsurface layers, classify the site, and assess the geophysical parameters with depth of the engineering site in the Kocaeli-Yazlık region of Türkiye. The applied methods included 2D Seismic Refraction Tomography (SRT), 1D multichannel surface wave analysis (MASW), and electrical resistivity tomography (ERT). A nearby borehole data revealed a three-layer structure: a 15 m thick alluvial layer of clay, silt, and sand; an intermediate claystone unit (Aslanbey Formation) between 15 and 35 m; and a deeper volcanic basement (Sarısu volcanics) beyond 35 m. The 2D SRT and MASW velocity models showed a strong correlation with this stratigraphy. In the upper 15 m, low P-wave (750–975 m/s) and S-wave (160–180 m/s) velocities indicated saturated, unconsolidated alluvium, consistent with the borehole. Between 15 and 35 m, both P- and S-wave velocities increased (to 1600–2100 m/s and 250–290 m/s), reflecting the transition to compacted claystone, again aligning with the borehole log. The

{Vs}_{30}

m values of the 1D MASW ranged from 203.5 to 314.6 m/s, confirming the presence of weak, heterogeneous near-surface materials. According to NEHRP (BSSC, 2020) and TBEC (2018), the site is classified as D (medium stiff soil) and ZD (medium stiff to stiff rock), further supported by borehole correlations. The calculated elastic moduli and geotechnical parameters revealed an increasing material competence with depth, characterized by higher stiffness and bearing capacity in deeper layers, consistent with the claystone and volcanic basement observed in the borehole. The ERT results also supported this model, showing low resistivity values (1–25 Ω.m for Wenner configuration and 1–40 Ω·m for Schlumberger configuration) down to ∼30–34 m, typical of saturated alluvium and clay. These resistivity values closely align with the seismic velocities, reinforcing the presence of unconsolidated, water-rich deposits. Across all methods, the borehole data provided essential validation, confirming that the integrated geophysical approach reliably characterized the subsurface layers and their geotechnical properties.

应用3种地球物理方法对 rkiye Kocaeli-Yazlık地区浅层次表层的岩性、速度、弹性模量进行圈定，对工程场地进行分类，并对工程场地的地球物理参数进行深度评价。应用的方法包括二维地震折射层析成像（SRT）、一维多通道表面波分析（MASW）和电阻率层析成像（ERT）。附近的钻孔数据显示了一个三层结构：一个15米厚的粘土、淤泥和沙子冲积层；介于15 - 35米之间的中间粘土岩单元（Aslanbey组）；35米以上的深层火山基底（Sarısu火山）。二维SRT和MASW速度模型与该地层具有较强的相关性。在15 m上，低纵波（750 ~ 975 m/s）和横波（160 ~ 180 m/s）速度表明冲积层饱和、松散，与钻孔一致。在15 ~ 35 m之间，纵波和横波速度都增加了（分别达到1600 ~ 2100 m/s和250 ~ 290 m/s），反映了向压实粘土岩的过渡，再次与井眼测井结果一致。一维MASW的Vs30 m值在203.5 ~ 314.6 m/s之间，证实了弱非均质近地表物质的存在。根据NEHRP （BSSC, 2020）和TBEC(2018)，该场地被分类为D（中硬土）和ZD（中硬至硬岩），并进一步得到钻孔相关性的支持。计算得到的弹性模量和岩土参数显示，材料能力随深度的增加而增加，在较深的层中具有较高的刚度和承载力，与钻孔中观察到的粘土岩和火山基底相一致。ERT结果也支持该模型，显示低电阻率值（Wenner配置为1-25 Ω.m， Schlumberger配置为1-40 Ω·m）至~ 30-34 m，典型的饱和冲积层和粘土。这些电阻率值与地震速度密切相关，加强了未固结的富水矿床的存在。在所有方法中，井眼数据提供了必要的验证，证实了综合地球物理方法可靠地表征了地下地层及其岩土力学特性。

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引用次数: 0

Resistivity characteristics of dense non-aqueous phase liquids contaminated clay and methods for modifying the Archie's model 致密非水相液体污染粘土的电阻率特性及修正阿奇模型的方法

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-28 DOI: 10.1016/j.jappgeo.2025.106009

Yinhe Guo , Dingwen Zhang , Yanmin Qi , Wenli Lin , Zimeng Zhang , Haoming Ren

The assessment of pollutant concentrations in organic contaminated sites is essential for effective remediation. This study first investigates the resistivity characteristics of contaminated clay and subsequently presents an enhanced methodology for the Archie's model, aimed at quantifying pollutant contents in the soil. Using perfluoroisobutyl methyl ether (HFE-7100) to simulate dense non-aqueous phase liquids (DNAPL), resistivity tests are conducted considering soil porosity, volumetric water content, and volumetric DNAPL content. Results demonstrate that the resistivity of contaminated clay is influenced by the synergistic effects of porosity and water content. As the volumetric water content decreases, the effect of variations in porosity on resistivity becomes increasingly pronounced. Resistivity increases linearly with volumetric pollutant content at constant water content, whereas it demonstrates a decreasing trend following a power function as water content increases at a constant pollutant content. The study introduces a pollutant impact coefficient and corrected porosity to refine the Archie resistivity model, yielding a modified version suitable for DNAPL-contaminated clay: the saturation index can be expressed as a product of functions related to volumetric water content and porosity; the pollutant impact coefficient can be derived from a quantitative analysis of the relationship between resistivity and variations in volumetric water content and volumetric pollutant content, with this study finding it to be 0.6268; the tortuosity factor exhibits a segmented linear variation with the increase in volumetric water content. These results lay a foundation for the quantitative analysis of the transport and distribution of DNAPL within clay, employing electrical resistivity imaging techniques.

有机污染场地的污染物浓度评价是有效修复的基础。本研究首先研究了受污染粘土的电阻率特征，随后提出了一种改进的方法，用于量化土壤中的污染物含量。利用全氟异丁基甲基醚（HFE-7100）模拟致密非水相液体（DNAPL），考虑土壤孔隙度、体积含水量和体积DNAPL含量进行电阻率测试。结果表明，污染粘土的电阻率受孔隙度和含水率的协同作用影响。随着体积含水量的降低，孔隙度变化对电阻率的影响越来越明显。在恒定含水量下，电阻率随体积污染物含量线性增加，而在恒定污染物含量下，电阻率随体积污染物含量增加呈幂函数递减趋势。研究引入污染物影响系数和修正孔隙度对阿奇电阻率模型进行了细化，得到了适用于dnapl污染粘土的修正版本：饱和指数可以表示为体积含水量与孔隙度相关函数的乘积；通过定量分析电阻率与体积含水量、体积污染物含量变化的关系，得出污染物影响系数为0.6268；弯曲系数随体积含水量的增加呈分段线性变化。这些结果为利用电阻率成像技术定量分析DNAPL在粘土中的运移和分布奠定了基础。

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引用次数: 0

Mapping permafrost active layer thickness revealed by airborne frequency-domain electromagnetic data: A case study in Datong River Valley, Tibetan Plateau

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-27 DOI: 10.1016/j.jappgeo.2025.105994

Xipeng Shan , Rukuan Xie , Xuezhong Yu , Song Han , Siyuan Sun , Shijun Li

Mapping permafrost active layer thickness (ALT) is of great significance for ecological investigation, engineering infrastructure, and climate feedback. An airborne frequency-domain electromagnetic (AFEM) survey was conducted in two different seasons to map the ALT in the Jiangcang Basin, Datong River Valley, Tibetan Plateau. After data processing and inversion, the result show that AFEM is an effective geophysical method to map ALT in cold regions and the average ALT in the study area is 2.1 m. The ALT analysis indicates that the rivers and coal mining are the main controlling factors affecting the variations of ALT in the study area. The AFEM data inversion result also reveals an instinct talik which may cause by a fault inferred using both AFEM and aeromagnetic data.

多年冻土活动层厚度测绘在生态调查、工程基础设施和气候反馈等方面具有重要意义。经过数据处理和反演，结果表明，AFEM是一种有效的寒地高程物探方法，研究区平均高程为2.1 m。ALT分析表明，河流和煤矿开采是影响研究区ALT变化的主要控制因素。AFEM数据反演结果还揭示了同时使用AFEM和航磁数据推断的故障可能引起的本能对话。

引用次数: 0

Integrating heliborne gamma-ray spectrometry and ASTER satellite imagery for enhanced hydrothermal alteration and mineral prospectivity mapping: Insights from the Tagragra of Akka, Morocco 整合星载伽玛射线能谱和ASTER卫星图像，增强热液蚀变和矿产勘探制图：来自摩洛哥阿卡塔格拉的见解

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-27 DOI: 10.1016/j.jappgeo.2025.105993

Younesse El Cheikh , Lahsen Achkouch , Ahmed Attou , Mohammed Ouchchen , Younes Mamouch , Bouchra Dadi , Ahmed Rachid

This research employs airborne gamma-ray spectrometry data and ASTER satellite sensor images to delineate the spatial extent of hydrothermal alteration zones and produce a map for mineral prospectivity (MPM). The Spectral Feature Fitting technique was used to analyze ASTER images for identifying iron oxide, argillic, propylitic, and phyllic alteration zones. K/eTh ratios, the F parameter, KD, and the potassium concentration map derived from radiometric data of the Tagragra of Akka region were utilized to detect zones characterized by significant potassium concentrations indicative of potassic alteration zones. A fuzzy logic-based mineral prospectivity map was generated by integrating maps of argillic, phyllic, propylitic, and ferruginous alterations with K/eTh, KD, F parameter, and potassium maps. This integration proved to be an effective approach for mineral prospectivity mapping, identifying nine high-potential zones. Most of these zones exhibit a spatial correlation with the oldest terrains within the study area, including basement metasediments, eburnean granitic intrusions, volcano-sedimentary deposits, as well as paleozoic cover. The overlay of this map with geological data, particularly mineralization indices and brittle structures, reveals a strong correlation between most mineralization indices, especially gold, and high prospectivity zones. These zones are affected by several fault families that likely serve as pathways for mineralizing fluids.

本研究利用航空伽玛射线能谱数据和ASTER卫星传感器图像，圈定了热液蚀变带的空间范围，并绘制了矿产远景图。利用光谱特征拟合技术对ASTER图像进行分析，识别出氧化铁、泥质、丙质和绿质蚀变带。利用K/eTh比值、F参数、KD和Akka地区Tagragra辐射测量数据得出的钾浓度图，检测出具有钾蚀变特征的显著钾浓度区。将泥质、叶基、丙基和铁质蚀变图与K/eTh、KD、F参数和钾元素图相结合，生成了基于模糊逻辑的矿产远景图。事实证明，这种整合是一种有效的矿产远景制图方法，确定了9个高潜力带。这些带大多与研究区内最古老的地形具有空间相关性，包括基底变质沉积、烈性花岗岩侵入、火山沉积和古生代覆盖。将该图与地质资料，特别是矿化指数和脆性构造进行叠加，揭示了大多数矿化指数，特别是金矿化指数与高找矿带之间的强相关性。这些带受到几个断裂家族的影响，这些断裂家族可能是矿化流体的通道。

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引用次数: 0

Characterization of centimetre- to decimetre-scale lithological heterogeneity in reservoir models through stochastic seismic inversion and seismic facies probabilities 通过随机地震反演和地震相概率表征储层模型的厘米至分米尺度岩性非均质性

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-25 DOI: 10.1016/j.jappgeo.2025.105992

Seyed Ahmad Mortazavi , Achyut Mishra , Julie Dickinson , Ralf R. Haese

The lithological heterogeneities on centimetre to decimetre scale can significantly control the preferential migration of fluids such as CO₂. However, it is challenging to model such thin layers in the area between the wells due to coarse seismic data resolution. This study employs stochastic seismic inversion to enhance seismic attribute resolution by combining them with wireline log data. This allows for representing centimetre (cm)-scale lithological heterogeneity in the inter-well regions along with the uncertainty in petrophysical property distribution as multiple equiprobable scenarios are generated in contrast to deterministic inversion. High-resolution seismic porosity generated from seismic inversion was subsequently used to derive maps of likely seismic facies distributions using supervised classification. By considering the seismic facies probabilities as trends for Sequential Indicator Simulation and including wireline log data, we developed detailed facies models for Parasequence-2 of the Paaratte Formation in the Otway Basin, as part of a field experiment on geological CO₂ storage. The facies models indicate that about 60 % of the reservoir section is comprised of proximal mouth bar facies while the carbonate-cements form about 15 % of the reservoir volume. The results obtained from the application of the approach were validated against well log and power spectrum data where a strong match between predicted and acquired seismic sections was observed from threshold value of −6 dB. The methodology significantly improves representation of fine layers with a thickness of a few 10s of centimetres in geological models and can be applied to highly heterogeneous reservoirs.

厘米-分米尺度上的岩性非均质性对CO2等流体的优先运移具有重要的控制作用。然而，由于地震数据分辨率较差，对井间区域的薄层进行建模是一项挑战。本研究采用随机地震反演技术，结合电缆测井资料，提高地震属性分辨率。这种方法可以表示井间区域厘米级的岩性非均质性以及岩石物性分布的不确定性，因为与确定性反演相比，可以生成多个等概率情景。随后，利用地震反演生成的高分辨率地震孔隙度，利用监督分类导出可能的地震相分布图。通过考虑地震相概率作为顺序指示模拟的趋势，并包括电缆测井数据，我们建立了Otway盆地Paaratte组副层序-2的详细相模型，作为地质二氧化碳储存的现场实验的一部分。相模式表明，近60%的储层剖面为近口坝相，而碳酸盐岩胶结物约占储层体积的15%。应用该方法获得的结果与测井和功率谱数据进行了验证，在- 6 dB的阈值范围内，预测和获得的地震剖面之间存在很强的匹配。该方法显著改善了地质模型中厚度仅为几十厘米的细层的表示，并可应用于高度非均质储层。

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引用次数: 0

On the usefulness of passive seismic imaging for mineral exploration - A case study in the Irish Midlands 被动地震成像在矿产勘探中的作用——以爱尔兰中部地区为例

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-24 DOI: 10.1016/j.jappgeo.2025.105991

Corinna Roy , Trond Ryberg , Christian Haberland , Kacie Wellington , Conor Moynihan , Philip Rieger , Murray W. Hitzman

In the past years, the demand for critical raw materials, which are needed for green technologies like electric cars, solar panels, and electro-mobility, has rapidly increased. Whilst recycling can provide an increasing portion of these elements, recycling alone cannot meet the estimated demand. This implies that further mining will be required if the EU is to meet its climate goals.

Within the project VECTOR, we are developing and testing a new geophysical technique, which is passive and non-disruptive, to image the Earth’s subsurface and structural layers. This method, known as ambient noise tomography, uses signals present in the survey area, such as noise from wind or traffic, to derive a 3D subsurface model. We test the usefulness of this method in Collinstown in the Irish Midlands, known for its significant zinc deposits. Although the resolution of the passive techniques is lower than that of the active seismic methods, we can image layers like the Pale Beds, which are the most prospective host rocks for base metal mineralization, and their depths agree well with those derived from the active 2D methods. This demonstrates that passive seismic surveys can complement active methods, opening new exploration strategies.

在过去几年中，对电动汽车、太阳能电池板和电动汽车等绿色技术所需的关键原材料的需求迅速增加。虽然回收利用可以提供越来越多的这些元素，但单靠回收利用无法满足估计的需求。这意味着，如果欧盟要实现其气候目标，就需要进一步开采。在VECTOR项目中，我们正在开发和测试一种新的地球物理技术，这种技术是被动和非破坏性的，可以对地球的地下和构造层进行成像。这种方法被称为环境噪声层析成像，它使用测量区域中存在的信号，例如来自风或交通的噪声，来导出三维地下模型。我们在爱尔兰中部的Collinstown测试了这种方法的有效性，该地区以其重要的锌矿而闻名。虽然被动技术的分辨率低于主动地震方法，但我们可以成像像Pale Beds这样的层，这是最具基础金属成矿远景的宿主岩，其深度与主动二维方法得到的深度吻合得很好。这表明被动地震测量可以补充主动方法，开辟新的勘探策略。

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引用次数: 0

Image subsurface karst in coastal areas using gravity gradient method: A case study in Guangxi, China 重力梯度法成像沿海地区地下岩溶——以广西为例

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-22 DOI: 10.1016/j.jappgeo.2025.105990

Nuoya Zhang , Huaifeng Sun , Zhiyong Zhang , Shangbin Liu , QiuyanFan

Water inrush from subsurface karst causes serious issues to limestone mining engineering in coastal areas, such as hindering mining operations and damaging the surrounding hydrogeological environment. Identification of the subsurface karst channels is an important and urgent task to ensure the safety of mining engineering. Electromagnetic exploration is generally ineffective in coastal areas due to the strong natural shielding effect of seawater. However, there is a discernible density anomaly between the water-filled karst channel and the surrounding rock. Therefore, gravity exploration is capable of karst channel exploration. Compared with conventional gravity data sets, gravity gradient data sets offer higher resolution and can reveal more details of subsurface density variation. In this study, we applied the gravity gradient method to image subsurface karst channels of large-opening limestone mines operated by China Resources Cement (Hepu) in Guangxi Province, China, which have suffered from water inrush problems for years. We successfully predicted five potential karst water-connected channels and the associated karst water inrush risk, which is in good agreement with the known geological evidence and drilling data. Our results provided reliable geophysical data for mine water inrush treatment. This study highlights the strong potential and advantages of the gravity gradient method for imaging subsurface karst in coastal areas and demonstrates its value in guiding grouting treatment strategies in mining engineering.

地下岩溶突水给沿海地区石灰岩开采工程带来了严重的问题，如阻碍开采作业、破坏周边水文地质环境等。地下岩溶通道的识别是保障矿山工程安全的一项重要而紧迫的任务。由于海水具有较强的天然屏蔽作用，电磁勘探在沿海地区普遍无效。但充水岩溶通道与围岩之间存在明显的密度异常。因此，重力勘探是岩溶通道勘探的有效手段。与传统的重力数据集相比，重力梯度数据集具有更高的分辨率，可以揭示更多的地下密度变化细节。在本研究中，我们采用重力梯度法对华润水泥（合浦）在中国广西经营的大开孔石灰石矿山的地下岩溶通道进行了成像，该矿山多年来一直存在突水问题。成功预测了5条潜在的岩溶通水通道及其岩溶突水风险，与已知的地质证据和钻井资料吻合较好。研究结果为矿井突水治理提供了可靠的地球物理资料。本研究突出了重力梯度法在沿海地区地下岩溶成像中的巨大潜力和优势，论证了重力梯度法在矿山工程中指导注浆处理策略的价值。

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引用次数: 0

Automatic assessing and masking algorithms for electromagnetic transfer functions based on machine learning methods 基于机器学习方法的电磁传递函数自动评估和屏蔽算法

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-15 DOI: 10.1016/j.jappgeo.2025.105989

Kun Ning , Hao Dong , Cheng Guo

The magnetotelluric (MT) method is an electromagnetic geophysical technique to investigate the Earth's electrical conductivity structure. It has been widely applied from deep structural studies to near-surface resource explorations. The raw MT time series data are usually transformed and processed into frequency-domain transfer functions (TFs), before being applied in geophysical inversion and interpretations. However, the assessment and elimination of low-quality TF data points still rely heavily on manual operations, which are time-consuming and requiring substantial expertise for operators, thereby reducing the overall efficiency of the data processing workflow. The rise of machine learning (ML) algorithms nowadays has opened up possibilities for rapid and automated data classification, leading to extensive success in fields like finance and image processing. This study explores two popular ML classification algorithms, namely Support Vector Machine (SVM) and Deep Neural Network (DNN), to automatically assess the TF quality. Various data features, such as the difference between a given data point and its neighboring points, were extracted to form a reduced subspace for classification. The classification accuracy of the two algorithms was compared against their manual counterpart, which indicates that the SVM algorithm achieved an accuracy of 93 %, while the DNN algorithm achieved 86 % with the real-world TF data. Consequently, an automated electromagnetic TF masking program based on the SVM algorithm was developed, enabling the accurate and rapid identification and removal of low-quality data points. For instance, manual masking of TF data from a single site may typically require approximately five minutes, whereas the new algorithm accomplishes the task in just a few seconds, significantly enhancing the efficiency of data masking.

大地电磁法是研究地球电导率结构的一种电磁地球物理技术。从深部构造研究到近地表资源勘探都得到了广泛的应用。原始的大地电磁学时间序列数据在应用于地球物理反演和解释之前，通常被转换并处理成频域传递函数（TFs）。然而，低质量TF数据点的评估和消除仍然严重依赖人工操作，这既耗时又需要操作员大量的专业知识，从而降低了数据处理工作流程的整体效率。如今，机器学习（ML）算法的兴起为快速和自动化的数据分类开辟了可能性，在金融和图像处理等领域取得了广泛的成功。本研究探讨了两种流行的机器学习分类算法，即支持向量机（SVM）和深度神经网络（DNN），以自动评估TF质量。提取各种数据特征，例如给定数据点与其相邻点之间的差异，形成用于分类的约简子空间。将两种算法的分类准确率与人工分类准确率进行比较，结果表明SVM算法在真实TF数据下的准确率为93%，而DNN算法的准确率为86%。因此，开发了基于SVM算法的自动电磁TF掩蔽程序，能够准确快速地识别和去除低质量数据点。例如，手动屏蔽来自单个站点的TF数据通常可能需要大约五分钟，而新算法只需几秒钟即可完成任务，大大提高了数据屏蔽的效率。

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引用次数: 0

Application of deep learning for porosity prediction in tight sandstone reservoirs: A case study of blocks Su14 and Su36 深度学习在致密砂岩储层孔隙度预测中的应用——以苏14和苏36区块为例

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-15 DOI: 10.1016/j.jappgeo.2025.105987

Yumeng Tian, Zhongjie Xu

Porosity is a fundamental parameter for assessing reservoir characteristics, significantly impacting the storage capacity of hydrocarbons, groundwater, and other subsurface resources. Traditional methods for measuring porosity, such as core analysis and well logging, are limited by high costs, low efficiency, and inadequate applicability in heterogeneous reservoirs. To address these limitations, this study proposes a novel hybrid deep learning model, CNN-BiLSTM-Attention, for predicting porosity using well log data from Blocks Su14 and Su36 in the Sulige Gas Field. The model combines the feature extraction capabilities of Convolutional Neural Networks (CNN), the temporal dependency modeling of Bidirectional Long Short-Term Memory (BiLSTM), and the dynamic weighting provided by the Attention mechanism. Leveraging ten key well log parameters and advanced preprocessing techniques, the model achieved an R² of 0.86112 and RMSE of 0.036274 on the training set, and an R² of 0.8591 and RMSE of 0.037009 on the test set. Validation using independent datasets from Blocks Su14 and Su36 yielded an R² of 0.8533, RMSE of 0.015465, and RPD of 2.4641, highlighting the model's robustness and practical applicability. Comparative analysis demonstrated that the CNN-BiLSTM-Attention hybrid model outperforms traditional methods, including BP, CNN, ELM, RF, and SVM. This study offers a reliable, efficient, and cost-effective approach for porosity prediction in complex reservoirs, effectively addressing challenges associated with heterogeneity and data nonlinearity.

孔隙度是评价储层特征的基本参数，对油气、地下水和其他地下资源的储存能力有重要影响。传统的孔隙度测量方法，如岩心分析和测井，存在成本高、效率低、不适合非均质储层的局限性。为了解决这些限制，本研究提出了一种新的混合深度学习模型CNN-BiLSTM-Attention，用于利用苏里格气田Su14和Su36区块的测井数据预测孔隙度。该模型结合了卷积神经网络（CNN）的特征提取能力、双向长短期记忆（BiLSTM）的时间依赖建模以及注意机制提供的动态加权。利用10个关键测井参数和先进的预处理技术，该模型在训练集上的R2为0.86112，RMSE为0.036274，在测试集上的R2为0.8591，RMSE为0.037009。使用block Su14和block Su36的独立数据集进行验证，R2为0.8533，RMSE为0.015465，RPD为2.4641，显示了模型的稳健性和实用性。对比分析表明，CNN- bilstm - attention混合模型优于BP、CNN、ELM、RF和SVM等传统方法。该研究为复杂储层的孔隙度预测提供了一种可靠、高效、经济的方法，有效解决了非均质性和数据非线性带来的挑战。

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引用次数: 0

Investigation of changes in the Frequency Content of the Ultrasonic Pulse Waves Propagating through Stabilized Soils 超声脉冲波在稳定土中传播时频率含量变化的研究

IF 2.1 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Journal of Applied Geophysics

Pub Date : 2025-10-15 DOI: 10.1016/j.jappgeo.2025.105988

Deniz Bas , Eray Yildirim

This study investigated the changes in the frequency content of ultrasonic waves propagating through stabilized soils under different curing conditions and durations. Additionally, the relationship between the observed frequency changes and the results of soil stabilization was explored. Şile, Ukrainian, and Pazaryeri clays and organic soil were used, with calcium aluminate cement (CAC) used as a binder. Unconfined compressive strength (UCS) and UPV tests were performed on untreated and stabilized soils under immediately, air-cured, and wet-cured conditions. During the UPV tests, numerical data were obtained by recording the measurement waveforms in the time domain using an oscilloscope. The relationships among the UCS, UPV, arrival times, and spectral amplitudes were examined through regression analysis, yielding significantly high coefficients of determination. The amplitude spectra were obtained by performing a Fourier transform of the waveforms. Significant changes were observed in the amplitude spectra of the untreated and stabilized samples. Untreated soils exhibited heightened attenuation at higher frequencies compared with stabilized soils. All samples exhibited distinct amplitude spectra. The samples with higher UCS exhibited higher amplitudes and predominant frequencies. In organic soils with the lowest UCS, higher frequencies were attenuated, and lower frequencies predominated. In addition, the amplitudes decreased in the frequency domain. These findings highlight the effect of soil stabilization and performance on frequency content.

研究了在不同固化条件和固化时间下，超声波在稳定土中传播的频率含量变化。此外，还探讨了观测到的频率变化与土壤稳定结果之间的关系。使用Şile，乌克兰和Pazaryeri粘土和有机土壤，用铝酸钙水泥（CAC）作为粘合剂。无侧限抗压强度（UCS）和UPV测试分别在未处理和稳定的土壤上进行，包括即时、空气固化和湿固化条件。在UPV测试过程中，使用示波器在时域内记录测量波形，获得数值数据。通过回归分析检验了UCS、UPV、到达时间和光谱振幅之间的关系，得到了显著的高决定系数。振幅谱是通过对波形进行傅里叶变换得到的。在未处理和稳定样品的振幅谱中观察到显著的变化。与稳定土相比，未经处理的土在更高频率上表现出更高的衰减。所有样品均表现出明显的振幅谱。UCS越高的样品振幅越大，优势频率越高。在UCS最低的有机土壤中，高频衰减，低频为主。此外，在频域中振幅减小。这些发现突出了土壤稳定性和性能对频率含量的影响。

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引用次数: 0