Geothermics最新文献_第5页

Demand, operational conditions, and impacts on geothermal energy networks 需求、运行条件和对地热能网络的影响

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-17 DOI: 10.1016/j.geothermics.2025.103574

Nicholas Fry, Roman Shor, Aggrey Mwesigye

This study extends a previously established System Dynamics (SD) geothermal energy network (GEN) modeling framework to evaluate how regional thermal demand, auxiliary equipment strategies, and operational conditions influence GEN performance across varied climatic settings, therefore influencing market viability. Using thermal load profiles from ResStock and ComStock for multifamily and medium office buildings in Washington, Illinois, and New York, the study simulates GEN behavior with configurations including single-source borehole heat exchangers, passive cooling, dry cooler hybridization, and waste heat injection to the ground heat exchangers. The SD model captures nonlinear feedback between seasonal demand patterns, auxiliary system activation, and formation thermal conductivities, enabling scenario-based sensitivity analyses with grid searches using control regimes. Results indicate that both climatic conditions and operational controls have measurable impacts on system performance, system longevity, auxiliary equipment cycling, and electricity consumption. The findings suggest that tailored GEN configurations, responsive to regional thermal conditions, can mitigate oversizing, reduce parasitic loads, and enhance techno-economic outcomes. These tailored solutions are, however, not complicated to envision and the study findings suggest there is little need for perfecting borehole heat exchanger sizing. Wide scale adoption can occur now using simple operational strategies to stabilize year-over-year costs. Limitations in site-specific data are apparent, but the regional insights provided offer valuable guidance for engineers, geoscientists, and policymakers engaged in GEN deployment. This work underscores the importance of feedback-oriented modeling to anticipate the thermal behaviors of GENs and to inform infrastructure investment decisions in the context of decarbonization mandates.

本研究扩展了先前建立的系统动力学（SD）地热能源网络（GEN）建模框架，以评估区域热需求、辅助设备策略和运行条件如何影响不同气候环境下的地热能源网络性能，从而影响市场可行性。利用ResStock和ComStock提供的华盛顿、伊利诺斯州和纽约多户和中型办公大楼的热负荷数据，该研究模拟了包括单源井内热交换器、被动冷却、干式冷却器混合和向地面热交换器注入废热等配置的GEN行为。SD模型捕获了季节性需求模式、辅助系统激活和地层热导率之间的非线性反馈，实现了基于场景的敏感性分析，并使用控制机制进行网格搜索。结果表明，气候条件和操作控制对系统性能、系统寿命、辅助设备循环和电力消耗都有可测量的影响。研究结果表明，根据区域热条件量身定制的GEN配置可以缓解超大规模，减少寄生负荷，并提高技术经济效益。然而，这些量身定制的解决方案并不复杂，研究结果表明，几乎没有必要完善井眼热交换器的尺寸。现在可以使用简单的操作策略来稳定年度成本，从而实现大规模采用。特定地点数据的局限性是显而易见的，但区域洞察为参与GEN部署的工程师、地球科学家和政策制定者提供了有价值的指导。这项工作强调了以反馈为导向的建模的重要性，以预测GENs的热行为，并在脱碳授权的背景下为基础设施投资决策提供信息。

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引用次数: 0

Fluid flow and heat transfer during staged multi-cluster fracturing treatments along horizontal wells — Application for hydraulic fracture characterization using distributed temperature sensing 水平井分段多簇压裂过程中的流体流动和热传递。分布式温度传感在水力裂缝表征中的应用

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-16 DOI: 10.1016/j.geothermics.2025.103570

Cao Wei , Dan Qu , Haitao Li , Shiqing Cheng , Chang Liu , Hassan Hassanzadeh

We present a technique for quantitatively characterizing fracture parameters during fracturing operation using temperature information recorded by distributed temperature sensing (DTS). A coupled thermo-hydraulic forward model is first developed to describe the fluid flow and heat transfer in the wellbore, fracture, and reservoir. The developed model is solved using the finite-difference approach for both injection and shut-in periods of staged multi-cluster fracturing treatments along horizontal wells. Then, the DTS temperature behavior is studied by conducting a sensitivity analysis of essential parameters. The results show that temperature signals capture changes in the fracture, reservoir, wellbore, and operation parameters, demonstrating DTS temperature data's feasibility in diagnosing fracture properties. The results also indicate that the temperature response at fracture locations shows a V-shape characteristic for both injection and shut-in periods, aiding in identifying the locations of the created fractures. The proposed model integrated with the Genetic Algorithm is applied to interpret DTS data from a shale gas reservoir, providing parameters like injection volume, fracture locations, fracture half-length, and leak-off coefficient at one particular time. These results enhance new insights on utilizing temperature data for fracturing optimization and further improve energy extraction performance from the stimulated reservoirs.

我们提出了一种利用分布式温度传感（DTS）记录的温度信息定量表征压裂作业中裂缝参数的技术。首先建立了一个热-液耦合正演模型来描述井筒、裂缝和储层中的流体流动和传热。利用有限差分方法求解了水平井分段多簇压裂注入和关井阶段的模型。然后，通过对关键参数的灵敏度分析，研究了DTS的温度行为。结果表明，温度信号捕获了裂缝、储层、井筒和作业参数的变化，证明了DTS温度数据在诊断裂缝性质方面的可行性。结果还表明，在注入和关井期间，裂缝位置的温度响应都呈现v型特征，有助于识别新裂缝的位置。该模型与遗传算法相结合，用于解释页岩气储层的DTS数据，提供特定时间的注入量、裂缝位置、裂缝半长和泄漏系数等参数。这些结果为利用温度数据进行压裂优化提供了新的见解，并进一步提高了增产储层的能量提取性能。

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引用次数: 0

Evaluation of the use of a thermal dynamic probing light (T-DPL) for the field determination of soil thermal conductivity 热动态探测光（T-DPL）在土壤热导率野外测定中的应用评价

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-16 DOI: 10.1016/j.geothermics.2025.103572

João Luiz Botega Nogari, Cristina de Hollanda Cavalcanti Tsuha

The soil thermal conductivity governs the heat transfer process within the soil and is a key parameter in various engineering applications, including shallow geothermal energy exploitation, thermal energy storage, underground power cable systems, nuclear waste isolation, among others. This parameter can be determined through various methods, including predictive models based on soil characteristics, laboratory tests on small soil samples, in-situ needle probe, field thermal response tests (TRT) on larger soil volumes, and the field thermal cone dissipation test (T-CPT), which utilize the well-known cone penetration test (CPT) device. In-situ tests offer the advantage of providing rapid results for soil thermal conductivity under actual field conditions. This study focuses on field measurements of the thermal conductivity of soils based on the thermal cone dissipation test, using a low-cost and portable equipment compared to the conventional CPT apparatus. For this purpose, the cone tip of a Dynamic Probing Light (DPL) was modified to estimate soil thermal conductivity and named T-DPL (Thermal Dynamic Probing Light). The T-DPL equipment is easy to operate, lightweight, and manually controlled. The validation of the test procedure was demonstrated through model tank tests in both dry and saturated sand. Following laboratory validation, T-DPL tests were conducted at an unsaturated soil site in Brazil. The moisture content and groundwater table at the test site vary seasonally, influencing the previously measured ground thermal conductivity results from TRT experiments. The use of the T-DPL provided consistent results and effectively detected the impact of seasonal moisture content variations on soil thermal conductivity.

土壤导热系数控制着土壤内部的传热过程，是各种工程应用的关键参数，包括浅层地热能开采、热能储存、地下电力电缆系统、核废料隔离等。该参数可以通过多种方法确定，包括基于土壤特征的预测模型、小土壤样品的实验室测试、原位针探针、大土壤体积的现场热响应测试（TRT）以及利用著名的锥贯入测试（CPT）装置的现场热锥耗散测试（T-CPT）。原位测试的优点是可以在实际现场条件下快速得出土壤导热系数的结果。本研究的重点是基于热锥耗散试验的土壤热导率的现场测量，与传统的CPT设备相比，使用了低成本和便携式的设备。为此，对动态探测光（Dynamic Probing Light， DPL）的锥尖进行了改进，以估计土壤的热导率，并命名为T-DPL （thermal Dynamic Probing Light，热动态探测光）。T-DPL设备易于操作，重量轻，可手动控制。通过在干砂和饱和砂中进行模型罐试验，验证了试验方法的有效性。在实验室验证之后，T-DPL测试在巴西的一个非饱和土场地进行。试验场的含水率和地下水位随季节变化，影响了TRT试验之前测量的地面导热系数结果。T-DPL的使用提供了一致的结果，并有效地检测了季节含水量变化对土壤导热系数的影响。

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引用次数: 0

Hydrochemical characteristics and genetic mechanisms of multi-type thermal springs of Nyingchi City, Southeastern Qinghai-Tibet Plateau

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-16 DOI: 10.1016/j.geothermics.2025.103575

Dawa Nan , Sihang Han , Pingcuo Gesang , Qifeng Zeng , Yadong Zheng , Zhao Liu , Sang Gong , Duoji Gesang , Linjie Zhang

Thermal springs are widely used as direct, sustainable and pollution-free shallow geothermal resources. Understanding their genesis and evolution will ensure their sustainable development and use. Nyingchi City, located in the southeast of the Qinghai-Tibet Plateau, is rich in geothermal resources. This study investigated the formation and evolution of thermal springs in Nyingchi City by studying the hydrogeochemical characteristics of 44 thermal and cold spring groups. Hydrochemical analyses of the springs show that the water types of geothermal water in the area include the HCO₃, HCO₃Cl, HCO₃-SO₄ and SO₄ types. These water types are due to the weathering of silicate minerals, the dissolution of carbonate and sulfate minerals, and the cation exchange between water and rock, with the HCO₃-Cl type geothermal water containing a mixture of deep-seated materials. Using the silica-enthalpy mixing model, the cold-water mixing proportion in the geothermal fluid was determined to be 60–94%, while the silica geothermometer yielded an initial reservoir temperature range of 105.7–257.4 °C for the deep thermal aquifer. The hydrogeochemical characteristics of the thermal springs in Nyingchi City show discernible spatial differences. Thermal spring water-rock interaction occurs at a significant depth in the west, followed by interaction at a shallower depth in the east, and shallow interaction along the Eastern Himalayan Syntaxis(EHS), where high-temperature steam flash heats the shallow cold water. These new findings advance the understanding of the formation process of multi-type thermal springs in Nyingchi City and provide scientific guidance for the sustainable development and use of regional thermal spring geothermal resources.

温泉作为一种直接、可持续、无污染的浅层地热资源，得到了广泛的应用。了解它们的起源和演变将确保它们的可持续发展和利用。本文通过对林芝市44个冷热泉群水文地球化学特征的研究，探讨了林芝市温泉的形成与演化。泉水水化学分析表明，该地区地热水的水类型包括HCO3、HCO3Cl、HCO3-SO4和SO4类型。这些水类型是由于硅酸盐矿物的风化作用，碳酸盐和硫酸盐矿物的溶解作用，以及水和岩石之间的阳离子交换作用，与HCO₃-Cl型地热水含有深层物质的混合物。利用二氧化硅-焓混合模型，确定了地热流体中冷水混合比例为60 ~ 94%，而二氧化硅地温计测得深层热含水层的初始储层温度范围为105.7 ~ 257.4℃。林芝温泉水文地球化学特征具有明显的空间差异性。温泉-岩石相互作用发生在西部的显著深度，其次是东部较浅深度的相互作用，以及沿东喜马拉雅结带（EHS）的浅层相互作用，高温蒸汽闪热浅层冷水。这些新发现促进了对林芝多类型温泉形成过程的认识，为区域温泉地热资源的可持续开发利用提供了科学指导。

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引用次数: 0

Cenozoic tectonic-thermal evolution of the Xihu Sag, East China Sea Basin: Implications for hydrocarbon generation in continental margin basins 东海盆地西湖凹陷新生代构造-热演化：对大陆边缘盆地生烃的启示

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-15 DOI: 10.1016/j.geothermics.2025.103530

Qiwen Yao , Hui Diao , Jian Chang , Wu Zhang , Ruiheng Zhan , Hangyuan Gao , Kefu Li

This study investigates the Cenozoic tectono-thermal evolution of the Xihu Sag in the East China Sea Basin, a rift–inversion sub-basin at the convergent boundary of the Eurasian, Pacific, and Philippine Sea plates. The findings have broad implications for hydrocarbon generation and thermal history reconstruction in similar continental margin basins globally. By integrating present-day geothermal data, low-temperature thermochronology, vitrinite reflectance, and fluid inclusion analysis, this study reconstructs the thermal history and source rock maturation processes in the Xihu Sag. The geothermal gradient ranges from 16 to 46 °C/km at depths of 0–4 km, with an average of 31.8 °C/km, and surface heat flow varies between 34 and 88 mW/m², averaging 52.3 mW/m². These thermal regimes show a southeast-high to northwest-low trend, primarily influenced by lithospheric thinning, thermal refraction, and basement morphology. Thermal history modeling reveals a significant cooling event during the Late Miocene (14–7 Ma), corresponding to the Longjing tectonic phase, with progressive southeast-to-northwest deformation. Erosion magnitudes exceeded 800 m in marginal anticline zones, while the central Pinghu Slope Belt experienced denudation rates up to 246 m/Ma. Basin modeling indicates that basement heat flow decreased during the Early to Middle Miocene but increased again during tectonic inversion, significantly influencing source rock maturation. The Pinghu Formation source rocks reached peak hydrocarbon generation by the end of the Miocene. Fluid inclusion data indicate two primary hydrocarbon charging phases (∼15–9 Ma and ∼5–0 Ma), consistent with modeled expulsion stages. This study introduces a robust, multi-parameter integrated framework to rigorously assess the geothermal state, tectonic characteristics, and petroleum generation potential of continental margin basins. This methodological paradigm shift fundamentally advances the approaches to thermal history reconstruction and hydrocarbon exploration, providing a reliable and universally applicable solution for analogous geological settings.

本文研究了位于欧亚、太平洋和菲律宾海板块汇聚边界上的裂谷反转子盆地——东海盆地西湖凹陷的新生代构造-热演化。这些发现对全球类似大陆边缘盆地的生烃和热史重建具有广泛的指导意义。综合现今地热资料、低温年代学、镜质组反射率和流体包裹体分析，重建了西湖凹陷热史和烃源岩成熟过程。地温梯度在0 ~ 4 km范围内为16 ~ 46℃/km，平均为31.8℃/km，地表热流在34 ~ 88 mW/m²之间，平均为52.3 mW/m²。这些热区主要受岩石圈减薄、热折射和基底形态的影响，呈现东南高向西北低的趋势。热史模拟显示，晚中新世（14-7 Ma）发生了一次显著的降温事件，与龙井构造相对应，并伴有东南向西北的渐进式变形。边缘背斜带侵蚀强度超过800 m，平湖斜坡带中部剥蚀速率高达246 m/Ma。盆地模拟表明，早中新世至中中新世基底热流减少，构造反转期间基底热流再次增加，对烃源岩成熟有显著影响。平湖组烃源岩在中新世末达到生烃高峰。流体包裹体数据显示了两个主要的烃类充注阶段（~ 15-9 Ma和~ 5-0 Ma），与模拟的排烃阶段一致。该研究引入了一个稳健的多参数综合框架，以严格评估大陆边缘盆地的地热状态、构造特征和生油潜力。这种方法范式的转变从根本上推进了热史重建和油气勘探的方法，为类似的地质环境提供了可靠且普遍适用的解决方案。

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引用次数: 0

Fracture identification in hot dry rock using TSD-Unet: From feature extraction to quantitative analysis of geometric parameters 基于TSD-Unet的干热岩石裂缝识别：从特征提取到几何参数定量分析

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-15 DOI: 10.1016/j.geothermics.2025.103569

Mangu Hu , Tianyu Fu , Xiaobin Yang , Lei Peng , Chun Wang , Xiangfeng Lv

Accurate identification and quantitative characterization of fractures in hot dry rock (HDR) reservoirs are of great significance for the efficient development of geothermal resources. To address the challenges associated with precise fracture recognition and quantification, an improved fracture identification model named TSD-Unet is proposed in this study. This model is constructed by integrating the Spatial Group-wise Enhance (SGE) module and Dynamic Snake Convolution (DSC) module into the U-Net architecture. This integration enables the TSD-Unet model to extract both spatial and multi-morphological features of fractures from granite failure images. The SGE and DSC modules, inserted after the convolutional layers, allow the model to effectively combine spatial and morphological features of fractures. Ablation experiments and multi-model comparison experiments were conducted using a granite fracture image dataset. The comparison results demonstrate the competitiveness of the TSD-Unet model in segmentation performance, achieving an accuracy (Acc) of 62.88 % and an intersection over union (IoU) of 46.06 %. Compared to the traditional U-Net model, TSD-Unet shows improvements of 8.02 % in Acc and 9.51 % in IoU. Based on the segmentation results and the proposed feature computation method, quantitative analyses were performed on fracture characteristics such as length, area, average width, and maximum width, revealing that the results based on TSD-Unet closely match actual conditions. This research provides a precise and efficient method for intelligent fracture identification and feature extraction in HDR reservoirs, offering significant theoretical guidance for improving the efficiency of geothermal resource exploitation.

热干岩储层裂缝的准确识别和定量表征对地热资源的高效开发具有重要意义。为了解决与精确裂缝识别和量化相关的挑战，本研究提出了一种改进的裂缝识别模型，称为TSD-Unet。该模型通过将空间群智增强（SGE）模块和动态蛇卷积（DSC）模块集成到U-Net体系结构中来构建。这种集成使TSD-Unet模型能够从花岗岩破坏图像中提取裂缝的空间和多形态特征。在卷积层之后插入SGE和DSC模块，使模型能够有效地结合裂缝的空间和形态特征。利用花岗岩断裂图像数据集进行消融实验和多模型对比实验。对比结果表明，TSD-Unet模型在分割性能上具有一定的竞争力，准确率（Acc）达到62.88%，交集/联合（IoU）达到46.06%。与传统的U-Net模型相比，TSD-Unet在Acc和IoU方面分别提高了8.02%和9.51%。基于分割结果和提出的特征计算方法，对裂缝长度、面积、平均宽度、最大宽度等特征进行了定量分析，结果表明基于TSD-Unet的分割结果与实际情况吻合较好。本研究为HDR储层裂缝智能识别和特征提取提供了一种精确、高效的方法，对提高地热资源开发效率具有重要的理论指导意义。

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引用次数: 0

Comparison of thermo-mechanical response between the grouted method and ordinary micro steel pipe energy pile under multiple heating and cooling cycles 灌浆法与普通微钢管能源桩在多次加热和冷却循环下的热-力学响应比较

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-13 DOI: 10.1016/j.geothermics.2025.103571

Hong Chang , Xing Wu , Zhengheng Gan , Yuan Du , Huicheng Jiang , Zhaoxuan Wang , Ming Ma

As an energy underground structure combining load-bearing and heat exchange capabilities, micro energy pile (MEP) offers unique advantages for geothermal heating compared with conventional energy pile (EP). Despite their potential, micro energy piles (MEP) have received far less attention compared to conventional energy piles (EP). This study presents a comparative analysis of the thermo-mechanical response characteristics of micro grouted steel pipe energy pile (MGSPEP) and micro steel pipe energy pile (MSPEP). The results indicate the influence range of the soil temperature field for both types of piles extends to approximately four times the pile diameter. The heat exchange rate of the MGSPEP ranges from 44.5 to 49.4 W/m, showing no significant difference compared with that of EP. The maximum additional tensile stress and compressive stress of the two piles account for less than 5 % of the tensile and compressive design values of the steel pipe. MGSPEP has a smaller pile and soil relative displacement. The settlement of MGSPEP and MSPEP accounts for 0.4 % D and 1.1 % D of the pile diameter, respectively. The accumulative soil pressure at the pile tip of MSPEP is 1.08 kPa, and MGSPEP accounts for only 28.7 % of MSPEP. The findings of this study provide new insights and references for the structural and energy retrofitting applications of MGSPEP in both existing and newly constructed buildings. This is expected to enhance the sustainability of geothermal energy systems.

微能源桩作为一种集承载和换热于一体的地下能源结构，与传统能源桩相比，具有独特的地热采暖优势。尽管具有潜力，但与传统能源桩相比，微能源桩受到的关注远远不够。对微灌浆钢管能源桩（MGSPEP）和微钢管能源桩（MSPEP）的热-力学响应特性进行了对比分析。结果表明，土温场对两种桩的影响范围均扩大到桩径的4倍左右。MGSPEP的热交换率在44.5 ~ 49.4 W/m之间，与EP的热交换率无显著差异。两桩最大附加拉压应力占钢管拉压设计值的比例小于5%。MGSPEP具有较小的桩土相对位移。MGSPEP和MSPEP的沉降分别占桩径的0.4% D和1.1% D。MSPEP桩端累积土压力为1.08 kPa，仅占MSPEP的28.7%。本研究结果为MGSPEP在既有建筑和新建建筑中的结构和能源改造应用提供了新的见解和参考。预计这将提高地热能源系统的可持续性。

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引用次数: 0

Evaluation of heat extraction using compact shallow ground heat panels with the interaction of stormwater- a residential case study 利用紧凑型浅层地热板与雨水相互作用进行热提取的评价——一个住宅案例研究

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-12 DOI: 10.1016/j.geothermics.2025.103563

Mostafa Mohamed , Abubaker Abdullah , Omar El-Kezza , Mohamad Abdel-Aal , Alma Schellart , Simon Tait

A bespoke parallel shallow horizontal Ground Source Heat Pump system (GSHP) with a small footprint (50 m²) was installed to provide space heating and domestic hot water for a residential house in the North of England. The shallow GSHP was combined with a storm water infiltration trench and both were installed with an adjacent control house which was fitted with a standard gas boiler for space heating and hot water. Up to 350 metres of High Density Polyethylene (HDPE) pipe with an external diameter of 40 mm connected in 2 parallel compact panels was used at the front and back of the house with the GSHP. The paper aims to (i) present data for the response of the ground to heat extraction using shallow ground heat panels and (ii) analytically model the heat gain in the ground heat exchanger panel, accounting for the thermal resistivity between the heat exchanger pipes and the surrounding soil, as well as the varriations in ground temperature and thermal conductivity. Internal and external ambient air temperatures, rainfall, coolant flow rate, coolant temperature, ground temperature and ground water level were monitored for a full year. The comprehensive field data were analysed to demonstrate the ground response and evaluate the performance of the shallow parallel ground heat extraction panels. Field data indicated that rainwater enhanced heat extraction and caused temporary increase in the ground temperature. Results from the analytical model are compared with measured temperature at five points on the ground heat extraction panel. The model showed good levels of predictive performance of the coolant temperature along the ground panel. However, it was noted that the model overestimates the coolant temperature at the centre point of the ground panel.

一个定制的平行浅水平地源热泵系统（GSHP）占地面积小（50平方米），为英格兰北部的一座住宅提供空间供暖和生活热水。浅层地源热泵与雨水渗透沟相结合，并在相邻的控制室安装了标准燃气锅炉，用于空间供暖和热水。高达350米的高密度聚乙烯（HDPE）管，外径40毫米，连接在两个平行的紧凑板上，与地源热泵一起用于房屋的前部和后部。本文的目的是(i)提供地表对利用浅层地面热板采热的响应数据，（ii）分析模拟地表热交换器板中的热增益，考虑热交换器管道与周围土壤之间的热电阻率，以及地温和导热系数的变化。全年监测内外环境空气温度、降雨量、冷却剂流量、冷却剂温度、地温和地下水位。通过对现场综合数据的分析，论证了浅层平行采热板的地面响应，并对其性能进行了评价。野外资料表明，雨水增强了采热，引起地温暂时升高。分析模型的计算结果与地面采热板上五个点的实测温度进行了比较。该模型显示了沿地面面板的冷却剂温度的良好预测性能。然而，有人指出，该模型高估了地面面板中心点的冷却剂温度。

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引用次数: 0

Development and validation of regression model via machine learning to estimate thermal conductivity and heat flow using igneous rocks from the Dikili-Bergama geothermal region, Western Anatolia 通过机器学习开发和验证回归模型，以估计来自安纳托利亚西部Dikili-Bergama地热区的火成岩的导热系数和热流

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-09 DOI: 10.1016/j.geothermics.2025.103567

Tolga Ayzit , Onur Güngör Şahin , Selçuk Erol , Alper Baba

Thermal conductivity is a fundamental parameter that significantly influences the thermal regime of the lithosphere. It plays a crucial role in a variety of geological applications, including geothermal energy exploration, igneous system assessment, and tectonic modeling. In this study, a machine learning approach is used to predict the thermal conductivity of igneous rocks based on the composition of major oxides. A total of 488 samples from different regions of the world were analyzed. The thermal conductivity values ranged from 1.20 to 3.74 Wm⁻¹ K⁻¹ and the mean value was 2.61 Wm⁻¹ K⁻¹. The Random Forest (RF) algorithm was used, resulting in a high coefficient of determination (R² = 0.913 for training and R² = 0.794 for testing) and a root mean square error (RMSE) of 0.112 and 0.179, respectively. Significance analysis of the traits identified SiO₂ (>40 %), Na₂O (>15 %) and Al₂O₃ (>10 %) as the most influential predictors. The study presented results from the Western Anatolia region, where felsic rocks had the highest thermal conductivity (mean = 2.69 Wm⁻¹K⁻¹) compared to mafic (mean = 2.34 Wm⁻¹K⁻¹) and ultramafic rocks (mean = 2.39 Wm⁻¹K⁻¹). In addition, the study evaluated the predictive capabilities of machine learning models for the igneous rocks of the Dikili-Bergama region and compared the results with those of saturated models. Using these data, we calculated heat flow values of up to 400 mWm⁻² under saturated conditions in western Anatolia. These results highlight the value of integrating geochemical data with machine learning to improve geothermal resource exploration and lithospheric modeling.

热导率是影响岩石圈热状态的基本参数。它在地热能勘探、火成岩系统评价和构造模拟等多种地质应用中发挥着至关重要的作用。在这项研究中，基于主要氧化物的组成，使用机器学习方法来预测火成岩的导热性。总共分析了来自世界不同地区的488个样本。热导率为1.20 ~ 3.74 Wm−1 K−1，平均值为2.61 Wm−1 K−1。采用随机森林（Random Forest， RF）算法，具有较高的决定系数（训练R²= 0.913，检验R²= 0.794），均方根误差（RMSE）分别为0.112和0.179。对这些性状的显著性分析发现SiO₂（> 40%）、Na2O （> 15%）和Al₂O₃（> 10%）是最具影响力的预测因子。研究结果来自西部安纳托利亚地区，与基性岩（平均2.34 Wm−¹K−¹）和超基性岩（平均2.39 Wm−¹K−¹）相比，长英质岩的导热系数最高（平均2.69 Wm−¹K−¹）。此外，该研究还评估了机器学习模型对Dikili-Bergama地区火成岩的预测能力，并将结果与饱和模型进行了比较。利用这些数据，我们计算了安纳托利亚西部饱和条件下高达400 mWm−2的热流值。这些结果突出了地球化学数据与机器学习相结合在地热资源勘探和岩石圈建模方面的价值。

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引用次数: 0

Unveiling geothermal potential in Pinrang regency, Indonesia: Integrated geochemical and geoelectrical characterization 揭示印尼平让地区的地热潜力：综合地球化学和地电学表征

IF 3.9 2区工程技术 Q3 ENERGY & FUELS

Geothermics

Pub Date : 2025-12-08 DOI: 10.1016/j.geothermics.2025.103565

Muhammad Altin Massinai , Hendra Grandis , Ilham Arisbaya , Muh.Farid Wajedy , Fahruddin Fahruddin , Muhammad Fawzy Ismullah Massinai

Geothermal energy offers a sustainable and low-carbon pathway to meet rising global energy demands, particularly in tectonically active regions such as Pinrang Regency, South Sulawesi, Indonesia. This study presents the first integrated geochemical and geoelectrical characterization of the Lemosusu and Sulili hot springs to evaluate their geothermal potential. Field measurements show surface temperatures between 41 and 46 °C. Geochemical classification using Cl–SO₄–HCO₃ diagrams and silica/Na–K geothermometry indicates that Lemosusu hosts a shallow, bicarbonate-dominated low-enthalpy system (44–77 °C), whereas Sulili contains chloride-rich fluids with reservoir temperatures up to 178 °C, reflecting a more evolved hydrothermal regime. Two-dimensional resistivity imaging reveals distinct subsurface signatures: Lemosusu is characterized by a shallow conductive layer (<5 Ωm) overlying volcaniclastics of the Loka Formation at depths of 10–15 meters, suggesting fluid circulation within porous horizons. In contrast, Sulili displays a vertically continuous conductive zone (<5 Ωm) extending to depths 13 m, coinciding with a mapped fault zone interpreted as a potential main upflow pathway. These findings demonstrate that Lemosusu appears suitable for small-scale direct-use applications such as balneotherapy and greenhouse heating, while Sulili holds potential for binary-cycle power generation. Overall, the integration of geochemical and geoelectrical data provides new insight into how lithologic porosity and fault structures jointly control geothermal fluid flow in mixed volcanic–sedimentary terrains, offering a replicable framework for exploration in under-explored geothermal provinces worldwide.

地热能为满足不断增长的全球能源需求提供了可持续和低碳的途径，特别是在印度尼西亚南苏拉威西岛平朗摄政等构造活跃地区。本文首次对Lemosusu和Sulili温泉进行了地球化学和地电综合表征，以评价其地热潜力。现场测量显示表面温度在41至46°C之间。利用Cl-SO₄-HCO₃图解和silica/ Na-K地热方法进行地球化学分类表明，Lemosusu为浅层碳酸盐岩为主的低焓体系（44 ~ 77℃），而Sulili为富氯化物流体，储层温度高达178℃，反映了更为演化的热液体系。二维电阻率成像显示了明显的地下特征：Lemosusu的特征是在10-15米深的Loka组火山碎屑上覆盖了一层浅层导电层（<5 Ωm），表明孔隙层内存在流体循环。相比之下，Sulili显示出一个垂直连续的导电带（<5 Ωm），延伸至深度13 m，与被解释为潜在主要上行通道的地图断裂带相吻合。这些发现表明，Lemosusu似乎适合小规模的直接使用应用，如水疗和温室加热，而Sulili具有双循环发电的潜力。总体而言，地球化学和地电数据的整合为火山-沉积混合地形中岩性孔隙度和断裂构造如何共同控制地热流体流动提供了新的视角，为全球地热勘探不足地区的勘探提供了可复制的框架。

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引用次数: 0