Natural Resources Research最新文献

{"title":"Application of GA/PSO Metaheuristic Algorithms Coupled with Deep Neural Networks for Predicting the Fracability Index of Shale Gas Formations","authors":"Mbula Ngoy Nadege, Biao Shu, Meshac B. Ngungu, Mutangala Emmanuel Arthur, Kouassi Verena Dominique","doi":"10.1007/s11053-025-10495-w","DOIUrl":"https://doi.org/10.1007/s11053-025-10495-w","url":null,"abstract":"<p>Shale gas reserves represent a significant source of natural gas, but unlocking their full potential depends on effective hydraulic fracturing. This research investigates the application of machine learning (ML) techniques to predict fracability index (FI), offering a faster and more cost-effective alternative to traditional experimental methods. Focusing on the Upper Ordovician Wufeng to Lower Silurian Longmaxi Formation in the Weiyuan shale gas field, Sichuan Basin, China, this study employed deep neural networks that integrate two metaheuristic algorithms—genetic algorithm (GA) and particle swarm optimization (PSO)—with the back-propagation technique. These combined algorithms—termed GABPNN and PSOBPNN—were utilized to predict the FI. Model performance was assessed using three metrics: R², RMSE, and MAE. The GABPNN achieved R², RMSE, and MAE of 0.97531, 0.024754, and 0.0042875, respectively, while the PSOBPNN yielded values of 0.97494, 0.024938, and 0.0048962, respectively. Notably, when predicting FI values for the test well, the PSOBPNN model attained a R² of 0.99848, and the GABPNN model achieved a R² of 0.9993, indicating exceptional predictive accuracy. Both models demonstrated nearly perfect prediction accuracy for FI in the testing dataset, underscored by their high R² values. Importantly, the GABPNN model exhibited superior capability in mitigating overfitting, a common challenge in ML applications. Overall, the GABPNN and PSOBPNN models offer effective alternatives for assessing the fracability of shale gas reservoirs. By facilitating the identification of sweet spots for fracturing, these ML-based approaches have the potential to optimize operations in shale gas reservoirs.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"17 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular Insights into the Occurrence Characteristics of Water and Methane in Nano-Slit Pores of Illite","authors":"Tingting Yin, Qian Li, Junqian Li, Dameng Liu, Yidong Cai, Junjian Zhang, Zhentao Dong","doi":"10.1007/s11053-025-10493-y","DOIUrl":"https://doi.org/10.1007/s11053-025-10493-y","url":null,"abstract":"<p>Handling the micro-occurrence mechanisms of fluids is vital for the exploitation of shale gas. As the research hotspots shift towards the deep strata, the gas storage and transport capacity in shale relies to a great extent on the nanostructure. In this work, the grand canonical Monte Carlo and molecular dynamics simulations were performed to systematically study the adsorption and diffusion behaviors of water and methane in illite pores of marine shale. We aimed at providing a molecule-level insight into the thermodynamic and kinetic properties of fluids. The results demonstrate that water molecules tend to form two adsorption layers on each side of the illite surface in micropores. Specifically, the adsorbates are preferentially distributed between K+ and adsorbed above the tetrahedral silicon oxide layer through the hydrogen bonds. With the addition of methane in the system, the second adsorption layers of water disappear. Meanwhile, the density of free water at the pore center decreases and displays some small fluctuations. The variation in burial depth is mainly manifested by the controlling effects of temperature on the fluids. In general, it is manifested as a decrease in the adsorption capacity and an increase in the diffusion ability under the deep geological conditions. In this paper, the molecular dynamics simulation is shown to be an efficient and effective tool to further improve microscopic theory of the gas–water enrichment in shale nanopores.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"7 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Key Controlling Factors of Hydrocarbon Accumulation of Fine-Grained Mixed Sequence in a Saline Lacustrine Basin: An Integrated Research of Petroleum System in the Northwestern Qaidam Basin, Qinghai–Tibet Plateau","authors":"Dehao Feng, Chenglin Liu, Jixian Tian, Minjunshi Xie, Hongliang Huo, Taozheng Yang, Guoxiong Li, Yubo He","doi":"10.1007/s11053-025-10494-x","DOIUrl":"https://doi.org/10.1007/s11053-025-10494-x","url":null,"abstract":"<p>Fine-grained carbonate-siliciclastic mixed sequences, formed in saline lacustrine settings, constitute substantial unconventional and conventional hydrocarbon resources. Clarifying the key controlling factors of hydrocarbon accumulation is pivotal for predicting potential resources and enhancing exploration strategies. However, there is still a lack of research on how hydrocarbons accumulate in fine-grained carbonate-siliciclastic mixed sequences. Here, we present integrated research on a unique saline lacustrine petroleum system with fine-grained mixed deposits in the northwestern Qaidam Basin based on geochemical analysis, reservoir data, fluid inclusion analysis, and basin modeling. The saline lacustrine source rocks have low organic abundance, with type II–III organic matter. The high content of soluble organic matter and large thickness of saline lacustrine source rock provided sufficient hydrocarbon for the petroleum system. The reservoir rocks exhibit unusual mixed characteristics of carbonate and siliceous minerals. Dissolution and microfracture development are critical for the formation of high-quality reservoirs. Hydrocarbon charging began during the Middle Miocene, and initially, it occurred in those areas where early traps were formed. By comparison, hydrocarbon began to charge late traps during the Late Miocene or Pliocene. The crucial controlling factors of hydrocarbon accumulation in the saline lacustrine basin include (1) adequate hydrocarbon supply, (2) high-quality fine-grained mixed reservoirs, (3) favorable source–reservoir–caprock assemblage, (4) many anticlinal traps generated by tectonic movements in the central lacustrine basin, and (5) suitable matching relationship of geological elements. This research also established hydrocarbon accumulation models of early trap and late trap to promote future exploration. This research provides new insights into a saline lacustrine petroleum system, which may serve as an efficient template for other saline lacustrine basins worldwide to promote future petroleum exploration.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"5 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Opportunities and Challenges for Assessing Critical Mineral Resources Potential Using Legacy Drilling Results, Cave Peak Porphyry Mo Deposit, Texas, USA","authors":"Collin P. Hoffman, J. Richard Kyle","doi":"10.1007/s11053-025-10484-z","DOIUrl":"https://doi.org/10.1007/s11053-025-10484-z","url":null,"abstract":"<p>The Eocene Cave Peak intrusive complex in western Texas was the site of a major exploration program in the late 1960s, principally for Mo in a porphyry mineral system. Although neither Texas nor the US federal government have protocols for the archiving of data and materials resulting from private sector exploration programs, much of the Cave Peak exploration results has been preserved through a fortuitous series of events. This information was utilized to construct modern 3D geological and mineralization models, serving as an example of the opportunities and challenges of working with legacy data. In addition to Mo and Cu, the Cave Peak system is enriched in the critical raw materials Nb, W, Sn, REE, and F. Despite the limitations and uncertainties of geological and resource models constructed from incomplete and problematic legacy information, such models may serve to accelerate new exploration and evaluation activities for diverse targets in similar geologic terranes. This information may provide an invaluable starting point for current assessments of the US critical mineral resources toward supply chain security.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"7 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Data-Driven Approach for Exploring Unconventional Lithium Resources in Devonian Sedimentary Brines, Alberta, Canada","authors":"Xiaolong Peng, Zhuoheng Chen, Chunqing Jiang, Wanju Yuan, Jiangyuan Yao","doi":"10.1007/s11053-025-10461-6","DOIUrl":"https://doi.org/10.1007/s11053-025-10461-6","url":null,"abstract":"<p>Lithium-rich (Li-rich) sedimentary brine has emerged as a valuable unconventional resource, driven by the blooming global market, advancements in direct extraction technologies, and a lower environmental impact compared to traditional mining methods. However, resource delineation and estimation remain challenging due to inefficient field sampling and unreliable correlations between Li concentration ([Li]) and environment-sensitive geochemical indicators. Supported by public data and newly acquired measurements of water chemistry for Alberta Devonian brines, we developed a cutoff-based data-driven approach to extract Li-rich environmental characteristics in the probability domain to predict [Li] levels at locations with water chemistry data but without [Li] measurements. The approach relies solely on commonly available geospatial (coordinates, stratigraphic position) and geochemical features, including contents of total dissolved solids (TDS) and cations of Na, K, Mg, and Ca. Validated against about one hundred Li-labeled samples measured after May 2022, the approach achieved a minimum precision and accuracy of 97% and 84%, respectively, for predicting three [Li] cutoff levels (i.e., &gt; 35 mg/L, &gt; 50 mg/L, and &gt; 75 mg/L). It was subsequently applied to predict [Li] levels of formation water from 897 different locations with legacy water chemistry data. The results align spatially with observed trends of Li-rich brines in Alberta Devonian formations and expand resource delineation and estimation capabilities to areas and formations with limited [Li] data availability.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"108 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Different CO2/N2 Mixing Ratios on Anthracite Pore Structure Evolution","authors":"Zhaolong Ge, Xinyu Wang, Xinguo Yang, Wenyu Fu, Xinge Zhao, Yunzhong Jia","doi":"10.1007/s11053-025-10492-z","DOIUrl":"https://doi.org/10.1007/s11053-025-10492-z","url":null,"abstract":"<p>Injecting mixed gas (CO₂/N₂) into coal seams is an effective method to realize a win-win situation of CO₂ sequestration and enhanced coalbed methane (ECBM) recovery. The ratio of gas mixtures is a critical factor in pore structure evolution. In this study, we used high-pressure saturated systems to examine the effects of different gas mixture ratios on anthracite. The pore structure and mineral content of the CO₂/N₂-treated coal samples were analyzed by LP-N₂ (low-pressure N₂ adsorption), NMR (nuclear magnetic resonance), SEM (scanning electron microscopy), and XRD (X-ray diffractometry). The results of NMR and LP-N₂ showed that the coal samples’ pore volume, specific surface area, porosity increased after CO₂/N₂ treatment. The XRD analysis revealed that mineral consumption was dependent on CO₂ partial pressure and phase state (especially supercritical state). N₂ on the micropore and mesopore was mainly for high-pressure compression, prompting the closure of micropore and transforming mesopores to micropores; on the macropores and microfracture, it was mainly dilatation. This significantly alters pore roughness and complexity and leads to a shift in pore morphology from ink-bottle to slit type. Mineral dissolution, high-pressure compression, and pore throat unblocking were mainly responsible for the pore structure evolution under CO₂ and N₂ synergistic injection. The highest porosity and micropore volume were obtained when treating coal samples with CO₂: N₂ ratio of 8:2. Therefore, this ratio is expected to be optimal for implementing long-term gas mixture-ECBM and geologic CO₂ sequestration.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"88 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating SHAP Explainability in Few-Shot Lithology Identification Using Dynamic Semi-Supervised Meta-Learning","authors":"Hengxiao Li, Youzhuang Sun, Sibo Qiao","doi":"10.1007/s11053-025-10491-0","DOIUrl":"https://doi.org/10.1007/s11053-025-10491-0","url":null,"abstract":"<p>Lithology classification is a crucial task in geological exploration, playing a significant role in oil and gas exploration as well as mineral resource development. However, traditional supervised learning methods rely heavily on large amounts of labeled data, and obtaining labeled well-logging data is both costly and time-consuming, significantly limiting their widespread application. To address this issue, this paper proposes a dynamic semi-supervised meta-learning with SHAP (DSSMLS) method, which achieves efficient and accurate lithology classification under limited labeled data conditions. DSSMLS adopts a meta-learning framework to enable rapid generalization using only a small number of labeled samples. It further integrates a semi-supervised learning strategy to leverage unlabeled data and enhance the model’s generalization ability. To mitigate the error accumulation issue commonly associated with traditional pseudo-labeling methods, DSSMLS incorporates a dynamic pseudo-label generation and prototype correction mechanism, which adaptively refines class prototypes to improve the stability of classification decisions. Additionally, the model integrates attention mechanisms, to enhance feature extraction from well-logging data. To improve model interpretability, DSSMLS combines SHAP (SHapley Additive ExPlanations) analysis to quantify the influence of key well-logging parameters on classification decisions. This study conducts experiments using well-logging data from the Tarim Basin oilfield in China. Experimental results demonstrate that DSSMLS significantly outperforms baseline models.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"9 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143846436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microscopic Occurrence Mechanism of Shale Oil in Saline Lacustrine Shale: Insights from NMR and Micro-CT Combined with Saturated Oil, Centrifuged and Solvent Extraction Experiments","authors":"Xiaobiao He, Qun Luo, Xin Li, Zhenxue Jiang, Chenggang Liang, Zhaoxuan Qiu, Yingyan Li, Yuan Deng","doi":"10.1007/s11053-025-10486-x","DOIUrl":"https://doi.org/10.1007/s11053-025-10486-x","url":null,"abstract":"<p>The occurrence mechanisms of shale oil in saline lacustrine basins are complex, and accurately quantifying the state of occurrence and assessing mobility present significant challenges, impeding deeper insights into the enrichment processes of shale oil. To comprehensively elucidate the occurrence mechanisms of continental saline lacustrine basin shale oil, and to clearly define the advantageous lithofacies and pore types under stratigraphic conditions, a range of experimental techniques including field emission scanning electron microscope, X-ray diffraction, multi-interval stepped pyrolysis, nuclear magnetic resonance, and micro-computer tomography scanning were utilized. These were integrated with saturated oil, centrifugation, and organic extraction experiments to systematically analyze the occurrence mechanisms and their influencing factors in the Lucaogou Formation. The findings were as follows: (1) Influenced by terrestrial inputs, fluctuations in lake levels, and saline water bodies, high-organic laminated feldspathic lithic fine sandstone, high-organic massive arenaceous dolomite, and high-organic laminated dolomitic siltstone form the dominant lithofacies of “sweet spots” in the Lucaogou Formation, primarily featuring inter-crystalline pores–dissolution pores and residual inter-granular pores–dissolution pores types as the main reservoir spaces. (2) Shale oil reservoirs display “full-scale oil-bearing” characteristics, with adsorbed oil predominantly located in micropores and mesopores, peaking at approximately 10 nm, while free oil is chiefly found in mesopores and macropores, with a general peak diameter around 100 nm. (3) Free and adsorbed oils exhibit differing flow properties across various mineral composition pore structures. Isolated and enclosed pores, having accumulated substantial quantities of shale oil, are crucial for future recovery rate improvements. (4) Based on the controlling factors of shale oil occurrence, a mechanism of hydrocarbon generation and accumulation model matching the upper and lower “sweet spots” mineral compositions, reservoir space types and sizes, and thermal maturation hydrocarbon generation effects with shale oil occurrence was established. These results enhance the understanding of the micro-scale occurrence characteristics and control mechanisms of shale oil in saline lacustrine basins, offering new insights into the differential enrichment mechanisms.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"121 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143841897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Behavior and Damage Failure Mechanisms of Coal Samples Subjected to Single Impact Loading","authors":"Siqing Zhang, Xiaofei Liu, Zhoujie Gu, Xin Zhou, Xiaoran Wang, Ruilin Tan","doi":"10.1007/s11053-025-10488-9","DOIUrl":"https://doi.org/10.1007/s11053-025-10488-9","url":null,"abstract":"<p>This study investigated the effect of varying strain rates on the dynamic behavior and damage mechanisms in coal. We employed the split Hopkinson pressure bar to conduct dynamic unconfined compression tests on coal samples. This involved obtaining the coal samples dynamic mechanical properties and failure characteristics. We performed analyses on the extent of impact damage before and after testing, leading to the development of a dynamic damage constitutive model based on strain rates. The findings demonstrated the clear nonlinearities in the dynamic stress–strain curve, segmented into three phases: linear elasticity, plastic yield, and post-peak softening. In both low and high strain rate scenarios, the observed peak stress, strain, kinetic and dissipation energy exhibited a phased linear growth. The coal sample exhibited two macroscopic fracture modes: axial splitting under low strain rates and pulverization under high strain rates. The degree of coal fragmentation rose, and the size of the shattered pieces decreased as the strain rate increased. Based on wave velocity tests, the damage to coal samples at lower strain rates rose exponentially. Combined with fractal dimension analysis, it was evident that the damage dimension of coal samples under high strain rates rose linearly. A constitutive model for coal samples was built, adjusted, and validated against experimental findings, establishing a connection between parameters <i>F</i>₀, <i>m</i>, and strain rate. It was confirmed that the model’s fitting degree may reach 0.9. This study helps to elucidate the damage mechanisms in coal samples under strain rate change from low to high.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"1 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Rock to Fiber: The Mechanical Properties of Continuous Rock Fibers","authors":"Yixuan Ma, Zeshi Guo, Jimin Fu, Xiongyu Xi, Pengcheng Ma, Xungai Wang","doi":"10.1007/s11053-025-10483-0","DOIUrl":"https://doi.org/10.1007/s11053-025-10483-0","url":null,"abstract":"<p>The mechanical properties of continuous rock fiber (CRF), particularly its elastic modulus and tensile strength, are essential requirements for the ever-increasing applications of this material. Studies on CRF have primarily focused on its application in fiber-reinforced composites, with much less emphasis on the analysis of the fiber structure–property relationship. This review summarizes and discusses the current experimental approaches, theories, models, and parameters in different production stages (geochemistry, rock screening, melting, cooling, and fiber drawing) that would affect the elastic modulus and tensile strength of CRF. For the current research results, the general debate is the trade-off between the network structure and defects in the tensile strength of CRF. The study of elastic modulus functions as the fundamental of tensile strength, as the former can be explored regardless of certain defects, only considering the microstructure of the network, local atom coordination and bonding, whereas the latter can be studied beyond characterizing the defects. The limitations of current methods include theories for crystals and stable substances, which may not be applicable to metastable monofilaments or complex CRF glasses. Experimentally, in situ testing is difficult for fibers in certain procedures that cause permanent damage. Machine learning (ML) and molecular dynamics (MD) can compensate for the lack of experimental data, reduce the effects of operational procedures, provide structure-based information, and reflect the combined effects of multiple input features. An ongoing approach should be based on a solid understanding of conventional models and improvements in standardized experimental and MD datasets incorporated with ML methods.</p>","PeriodicalId":54284,"journal":{"name":"Natural Resources Research","volume":"1 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}