塔里木盆地库车油气系统中、新生界的流体压力结构和油气成藏机制   总被引：29，自引：0，他引：29  

周兴熙 《地学前缘》2001,8(4):351-361

库车油气系统中、新生界流体压力纵向结构可分为台阶式、中凸式、均斜式 3种类型。平面分布可分两个带 3个区 :北带主要是台阶式压力结构分布区 ,南带的大部分是中凸式压力结构分布区 ,南带的南缘为均斜式压力结构分布区 ,构成不同类型的封存箱。这种压力结构分异主要是喜玛拉雅晚期 ( 5Ma)天山向南强烈推挤造成的 ;喜玛拉雅早期 ,整个油气系统压力结构大体是一致的 ,深浅层基本为正常压力 ,也即均为均斜式压力结构分布区。喜玛拉雅早、晚期的流体压力封存箱规模不等 ,油气运聚的环境不同 ,因而不同时期、不同地带具有各不相同的油气成藏机制。初步可概括为 3种机制和 3种成藏模式 :早期封存箱内成藏机制———牙哈模式 ;晚期封存箱内成藏机制———克拉苏模式 ;封存箱外成藏机制———大宛齐模式  相似文献   

Cuttability assessment of hard coal seams     

R. Singh  J. K. Singh  T. N. Singh  B. B. Dhar 《Geotechnical and Geological Engineering》1995,13(2):63-78

Summary A number of field and laboratory tests have been carried out on more than 15 coal seams of compressive strengths ranging from 19 MPa to 44 MPa to evolve methods which would help in the selection of suitable coaling machines for hard coal seams. The effect of physico-mechanical properties on cuttability were studied in the laboratory for all these coal seams to identify the relevant parameters affecting the specific energy of coal cuttability. These data were subjected to regression analysis to find the best fit for estimation of laboratory specific energy of coal samples on the basis of simple laboratory and field tests for the strength parameters. Field studies were also conducted over a large number of active mechanized coal faces to study in situ cuttability along with the geo-mining conditions of the site. The field and the laboratory data so generated were correlated and an attempt is made to establish a relationship for estimating the field specific energy for a particular capacity of coaling machines by considering the geo-mining domain of the field in totality.  相似文献   

机房干扰源的分析     

张志民  何嘉勇 《地震地磁观测与研究》1993,14(4):72-74

从理论上分析了机房中干扰产生的原因,提出了压低干扰的措施。  相似文献   

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method     

Viet-Ha Nhu  Khabat Khosravi  James R. Cooper  Mahshid Karimi  Ozgur Kisi  Binh Thai Pham 《水文科学杂志》2020,65(12):2116-2127

ABSTRACT

The predictive capability of a new artificial intelligence method, random subspace (RS), for the prediction of suspended sediment load in rivers was compared with commonly used methods: random forest (RF) and two support vector machine (SVM) models using a radial basis function kernel (SVM-RBF) and a normalized polynomial kernel (SVM-NPK). Using river discharge, rainfall and river stage data from the Haraz River, Iran, the results revealed: (a) the RS model provided a superior predictive accuracy (NSE = 0.83) to SVM-RBF (NSE = 0.80), SVM-NPK (NSE = 0.78) and RF (NSE = 0.68), corresponding to very good, good, satisfactory and unsatisfactory accuracies in load prediction; (b) the RBF kernel outperformed the NPK kernel; (c) the predictive capability was most sensitive to gamma and epsilon in SVM models, maximum depth of a tree and the number of features in RF models, classifier type, number of trees and subspace size in RS models; and (d) suspended sediment loads were most closely correlated with river discharge (PCC = 0.76). Overall, the results show that RS models have great potential in data poor watersheds, such as that studied here, to produce strong predictions of suspended load based on monthly records of river discharge, rainfall depth and river stage alone.  相似文献   

A minimalistic approach for evapotranspiration estimation using the Prophet model     

A. T. M. Sakiur Rahman  Takahiro Hosono  Ozgur Kisi  Boateng Dennis  A. H. M. Rahmatullah Imon 《水文科学杂志》2020,65(12):1994-2006

ABSTRACT

This study aimed to evaluate the potential of the recently introduced Prophet model for estimating reference evapotranspiration (ETo). A comparative study was conducted for benchmarking the model results with support vector regression (SVR) and temperature-based empirical models (Thornthwaite and Hargreaves) in southern Japan. The performance of the Prophet, SVR and temperature-based empirical models was evaluated by Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R²). The results indicate that temperature-based Prophet and SVR models have greater accuracy than the empirical models. The Prophet model with sole input of relative humidity, sunshine hours or windspeed showed acceptable accuracy (NSE > 0.80; R² > 0.80), while SVR models with similar inputs showed greater errors. Accuracy improved with increasing number of input parameters, giving excellent performance (NSE > 0.95; R² > 0.95) with all input parameters. Hence, the Prophet model is a new promising approach for modelling ETo with limited input variables.  相似文献   

星载合成孔径雷达海洋遥感与大数据     

李晓明  黄冰清  贾童  覃婷婷 《南京气象学院学报》2020,12(2):191-203

星载合成孔径雷达以其全天候、全天时、不受云雨影响的工作特性在空间对海观测中起到了重要作用，又以其高空间分辨率、多极化、多成像模式的特点展示了其在海洋动力要素反演和海洋多尺度动力过程研究中独特的魅力.起步于20世纪70年代末的星载合成孔径雷达技术，迎来了发展的"黄金时期"，大数据和机器学习又赋予了星载合成孔径雷达海洋遥感更强大的生命力.本文首先阐述了星载合成孔径雷达大数据的5"V"特性，进而以高分辨率海面风场反演、海洋内波中尺度动力过程观测两类典型案例，阐述了大数据、机器学习等现代信息科学技术与卫星海洋遥感结合，实现海洋环境参数高精度反演和海洋动力过程科学深层次认知的研究.最后，展望了星载合成孔径雷达海洋遥感与大数据的发展前景.  相似文献   

基于支撑向量机概率输出的高光谱影像混合像元分解   总被引：5，自引：0，他引：5  

吴波  张良培  李平湘 《武汉大学学报(信息科学版)》2006,31(1):51-54

提出利用支撑向量机（SVM）后验概率来分解高光谱影像的混合像元，通过支撑向量机的输出值转化为两两配对的后验概率，再由两两配对的概率值求得多类后验概率，并以像元所属类别的后验概率作为地物的组分信息。实验结果表明，该方法能较好地估计出混合像元的组分比。  相似文献   

使用SVM进行短期气候预测的应用试验     

高宇  燕东渭  杨艳  赵国令  刘志镜 《沙漠与绿洲气象(新疆气象)》2006,29(5):15-16

从气象角度介绍了利用SVM方法的预报原理,对西安短期气候预测做了实验,并分析预报结果,得出SVM方法在天气预报领域有一定的使用空间的结论。  相似文献   

基于小波分解和最小二乘支持向量机的西太平洋副高预测模型   总被引：1，自引：1，他引：1       下载免费PDF全文

刘科峰  张韧  于鹏  王彦磊  余丹丹 《热带气象学报》2007,23(5):491-496

用小波分解（WT）和最小二乘支持向量机（LS-SVM）相结合的方法,建立西太平洋副热带高压面积指数的预报模型。该方法首先将西太平洋副热带面积指数（SI）分解为相对简单的带通分量信号,利用LS-SVM建立各分量信号的独立预报模型,然后对预报结果进行集成。为了评估和比较该方法的预报效果和技术优势,最后比较了在同等条件下WT～LS-SVM模型和神经网络、线性回归模型的独立检验预报效果。试验结果表明,该方法具有泛化能力强、预报精度高、训练速度快、稳定性好、便于建模等优点,具有良好的应用前景。  相似文献   

潜孔锤跟管钻进技术在小浪底水利观测孔工程的应用     

郑玉辉 《探矿工程》2007,34(8):4-5,12

在黄河小浪底水利枢纽观测孔工程中,采用气动潜孔锤跟管钻进结合双动力头钻机成功地解决了普通气动潜孔锤及常规钻进工艺在厚度达50 m渣石层成孔难的问题。  相似文献