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近些年来,深度学习网络的兴起极大地推动了人工智能技术在地震数据处理、反演以及解译等领域的应用.地震波阻抗反演是石油地震勘探领域的一项关键技术,其反演精度在圈定油气储层构造中起到非常重要的作用.提出了一种基于数据驱动时间卷积网络(temporal convolution network,TCN)模型的地震波阻抗反演方法,旨在无需建立初始反演模型,直接利用工区的少量测井标签数据,以地震振幅数据为输入,将波阻抗反演转化为时间序列建模任务,最终输出地下模型的阻抗信息.采用Marmousi2数据集对基于TCN的波阻抗反演模型进行训练、验证和测试,结果显示,在测试集上该模型预测结果的皮尔逊系数和决定系数分别达到97.92%和95.95%,并对远离训练区域的波阻抗信息预测有着良好的泛化性,且在预测时间和预测精度等方面都要明显优于前人的相关研究工作.上述结果表明,TCN时间序列深度学习模型在复杂地层波阻抗反演中具有一定优越性和应用前景,为地震波阻抗反演提供了新思路. 相似文献
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强地震前地震区域会出现卫星热红外增温异常现象,S A Pulinets提出了一种新的解释,认为是震前地表大量析出的222Rn衰变产生的高能α粒子使得空气电离,这些离子很容易吸附水蒸气分子,导致大气中潜热的释放,使得空气温度、湿度发生显著变化.本文分析了高能α粒子对空气辐射电离后的主要物理、化学作用,估算了放热和吸附水蒸气分子数量的极大值,结果表明空气温度、湿度的变化是微不足道的.由此认为,地震前出现的温度升高、湿度下降的现象可能与氡浓度变化无关. 相似文献
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以山西大同新生代玄武岩样品为例, 利用Quanta 200扫描电镜、GENESIS能谱仪对能谱仪PPA分析方法进行了实验研究, 该方法为粒度和物相自动分析方法.笔者首次把能谱仪PPA分析方法应用到地质学领域的岩石光薄片研究中, 快速得出了一系列不同物相的形态学数据及化学成分分析结果: 物相种类、每一种物相的颗粒数、每一个颗粒的平均直径、面积、周长、圆度、长宽比及化学成分等, 并得出了不同物相在该视域所占的面积百分比及每种物相颗粒的平均直径, 克服了传统光薄片粒度分析方法的所有缺点, 为矿物学、岩石学及矿床学研究提供了一套非常有意义的数据. 相似文献
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The carbon cycle between the deep Earth and the atmosphere(i.e., the deep carbon cycle) can significantly affect the global climate on both long and short time scales. Although carbon in the deep Earth can be released to the atmosphere in many ways, plate subduction is the only pathway for the return of carbon from the surface to the deep Earth. Owing to diversity in the forms of carbon and the special physicochemical property of carbonates, the behavior of carbon and carbonates in subduction zones significantly affects the products of subduction processes, the oxygen fugacity in subduction zones, and the activation and migration of elements during the crust-mantle interaction. Therefore, the carbon cycle in subduction zones plays an important role in maintaining a habitable climate by regulating the atmospheric CO_2 concentration, which significantly affects the global climate, and in causing fundamental changes in the physical and chemical properties of the mantle that result in a heterogeneous mantle. In this study, we review and discuss previous studies and scientific problems regarding the carbon cycle in subduction zones from four aspects: observation and tracing of the carbon cycle, migration and variation of carbon during subduction,carbon flux, and the effect of the carbon cycle. 相似文献
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Yanliang Tan Detao Xiao Quan Tang Jian Shan Qingzhi Zhou Bin Feng 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(3):755-760
Generally, researchers are interested in time averaged radon concentration levels. However when we study the migration and adsorption characteristics of radon, the measurement of radon concentration in real time is important. Radon monitors based on electrostatic collection method cannot follow the rapid changes in radon concentration. The main reason for this is that a sufficient decay time is needed in order for the radon concentration in the internal cell of radon monitor to come to equilibrium with the 218Po. We propose a novel algorithm for determining the actual radon concentration versus time, derived from the data provided by the radon monitor. However there is a distinct ‘perturbation’ phenomenon associated with this procedure when the measurement cycle time is short. In this paper we will also analyze the source of this perturbation phenomenon and provide an improved process model, based upon a faster convergence method that enables reduction of this perturbation to acceptable limits. This model can be used to improve the measurements for any radon monitor like Rad7 based on electrostatic collection for tracing the radon concentration on short measurement cycles. 相似文献
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浸种温度对红芪(Hedysarum polybotrys)种子发芽的影响 总被引:3,自引:0,他引:3
采用初始温度不同的水浸红芪(Hedysarum polybotrys)种荚12h,然后发芽,以不浸种为对照,旨在探寻提高种子发芽质量的预处理方法,为规范化生产提供科学依据。结果表明:红芪种子发芽率进程符合Logistic方程,浸种荚对红芪种子发芽特性具有极显著影响。与对照比较,在20~80℃的水中自然冷却浸种12h均不同程度改善了种子发芽特性。随水温的提高,种子发芽质量先提高后下降;当水温为60℃时发芽质量最佳,发芽率、发芽势和发芽指数分别达80.7%、34.7%和4.994,较对照发芽率34.7%、发芽势4.0%和发芽指数1.865分别增加46.0%、30.7%和3.128;但当水温达80℃时,发芽质量出现下降趋势,但仍显著高于对照和20℃水浸处理的水平。60℃热水浸种12h可软化红芪种荚,增强种子吸水吸胀能力,并稀释降低发芽抑制物,有效提高种子出苗质量和育苗成效。水浸种预处理还可有效精选种子,但经浸种后的种子需拌土小心播种,严防机械损伤。 相似文献
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