首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   351篇
  免费   59篇
  国内免费   99篇
测绘学   9篇
大气科学   12篇
地球物理   115篇
地质学   224篇
海洋学   99篇
天文学   1篇
综合类   26篇
自然地理   23篇
  2024年   4篇
  2023年   6篇
  2022年   10篇
  2021年   23篇
  2020年   27篇
  2019年   18篇
  2018年   18篇
  2017年   26篇
  2016年   19篇
  2015年   17篇
  2014年   23篇
  2013年   26篇
  2012年   19篇
  2011年   17篇
  2010年   22篇
  2009年   33篇
  2008年   32篇
  2007年   30篇
  2006年   24篇
  2005年   19篇
  2004年   10篇
  2003年   10篇
  2002年   15篇
  2001年   14篇
  2000年   9篇
  1999年   6篇
  1998年   7篇
  1997年   8篇
  1996年   6篇
  1995年   3篇
  1993年   3篇
  1988年   4篇
  1986年   1篇
排序方式: 共有509条查询结果,搜索用时 15 毫秒
11.
塔中地区主要受塔中Ⅰ号、Ⅱ号及Ⅲ号三条大断层控制 ,形成巨型复式背斜 ,隆起高部位地层遭受了强烈的风化剥蚀。背斜之上 ,断裂和局部构造发育。可划分出两个主要成藏期 :第Ⅰ成藏期为寒武系—下奥陶统烃源岩成熟生烃运移期 ,生排烃高峰为志留纪 ;第Ⅱ成藏期为中—上奥陶统烃源岩在燕山期—喜马拉雅期成熟生烃运聚。第Ⅰ成藏期形成的油藏有两个特征 :在塔中Ⅰ号断裂带、北部斜坡带油气注入奥陶系及志留系圈闭中 ,形成原生油气藏 ;构造高部位 (如中央断垒带 )的油气藏在后期构造运动中遭受破坏。第Ⅱ成藏期形成的油藏可分为两类 :对早期油藏的再次充注 ;聚集形成新油藏。塔中地区的油气运移通道主要有断裂和不整合面 ,油气的分布也主要受断裂和不整合面所控制。塔中Ⅰ号构造带和北部斜坡带是较为有利的勘探区带  相似文献   
12.
Array measurements of microtremors at 16 sites in the city of Thessaloniki were performed to estimate the Vs velocity of soil formations for site effect analysis. The spatial autocorrelation method was used to determine phase velocity dispersion curves in the frequency range from 0.8–1.5 to 6–7 Hz. A Rayleigh wave inversion technique (stochastic method) was subsequently applied to determine the Vs profiles at all the examined sites. The determination of Vs profiles reached a depth of 320 m. Comparisons with Vs values from cross-hole tests at the same sites proved the reliability of the SPAC method. The accuracy of the Vs profiles, the ability to reach large penetration depths in densely populated urban areas and its low cost compared to conventional geophysical prospecting, make Mictrotremor Exploration Method very attractive and useful for microzonation and site effects studies. An example of its application for the site characterization in Thessaloniki is presented herein.  相似文献   
13.
14.
Signatures in flowing fluid electric conductivity logs   总被引:1,自引:0,他引:1  
Flowing fluid electric conductivity logging provides a means to determine hydrologic properties of fractures, fracture zones, or other permeable layers intersecting a borehole in saturated rock. The method involves analyzing the time-evolution of fluid electric conductivity (FEC) logs obtained while the well is being pumped and yields information on the location, hydraulic transmissivity, and salinity of permeable layers. The original analysis method was restricted to the case in which flows from the permeable layers or fractures were directed into the borehole (inflow). Recently, the method was adapted to permit treatment of both inflow and outflow, including analysis of natural regional flow in the permeable layer. A numerical model simulates flow and transport in the wellbore during flowing FEC logging, and fracture properties are determined by optimizing the match between simulation results and observed FEC logs. This can be a laborious trial-and-error procedure, especially when both inflow and outflow points are present. Improved analyses methods are needed. One possible tactic would be to develop an automated inverse method, but this paper takes a more elementary approach and focuses on identifying the signatures that various inflow and outflow features create in flowing FEC logs. The physical insight obtained provides a basis for more efficient analysis of these logs, both for the present trial and error approach and for a potential future automated inverse approach. Inflow points produce distinctive signatures in the FEC logs themselves, enabling the determination of location, inflow rate, and ion concentration. Identifying outflow locations and flow rates typically requires a more complicated integral method, which is also presented in this paper.  相似文献   
15.
16.
Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (Nc), N values have been corrected (Nc) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function Nc=Nc (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to Nc value, is to be approximated in which Nc value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   
17.
To date, triple collocation (TC) analysis is one of the most important methods for the global-scale evaluation of remotely sensed soil moisture data sets. In this study we review existing implementations of soil moisture TC analysis as well as investigations of the assumptions underlying the method. Different notations that are used to formulate the TC problem are shown to be mathematically identical. While many studies have investigated issues related to possible violations of the underlying assumptions, only few TC modifications have been proposed to mitigate the impact of these violations. Moreover, assumptions, which are often understood as a limitation that is unique to TC analysis are shown to be common also to other conventional performance metrics. Noteworthy advances in TC analysis have been made in the way error estimates are being presented by moving from the investigation of absolute error variance estimates to the investigation of signal-to-noise ratio (SNR) metrics. Here we review existing error presentations and propose the combined investigation of the SNR (expressed in logarithmic units), the unscaled error variances, and the soil moisture sensitivities of the data sets as an optimal strategy for the evaluation of remotely-sensed soil moisture data sets.  相似文献   
18.
Compared to conventional reservoirs, pore structure and diagenetic alterations of unconventional tight sand oil reservoirs are highly heterogeneous. The Upper Triassic Yanchang Formation is a major tight-oil-bearing formation in the Ordos Basin, providing an opportunity to study the factors that control reservoir heterogeneity and the heterogeneity of oil accumulation in tight oil sandstones.The Chang 8 tight oil sandstone in the study area is comprised of fine-to medium-grained, moderately to well-sorted lithic arkose and feldspathic litharenite. The reservoir quality is extremely heterogeneous due to large heterogeneities in the depositional facies, pore structures and diagenetic alterations. Small throat size is believed to be responsible for the ultra-low permeability in tight oil reservoirs. Most reservoirs with good reservoir quality, larger pore-throat size, lower pore-throat radius ratio and well pore connectivity were deposited in high-energy environments, such as distributary channels and mouth bars. For a given depositional facies, reservoir quality varies with the bedding structures. Massive- or parallel-bedded sandstones are more favorable for the development of porosity and permeability sweet zones for oil charging and accumulation than cross-bedded sandstones.Authigenic chlorite rim cementation and dissolution of unstable detrital grains are two major diagenetic processes that preserve porosity and permeability sweet zones in oil-bearing intervals. Nevertheless, chlorite rims cannot effectively preserve porosity-permeability when the chlorite content is greater than a threshold value of 7%, and compaction played a minor role in porosity destruction in the situation. Intensive cementation of pore-lining chlorites significantly reduces reservoir permeability by obstructing the pore-throats and reducing their connectivity. Stratigraphically, sandstones within 1 m from adjacent sandstone-mudstone contacts are usually tightly cemented (carbonate cement > 10%) with low porosity and permeability (lower than 10% and 0.1 mD, respectively). The carbonate cement most likely originates from external sources, probably derived from the surrounding mudstone. Most late carbonate cements filled the previously dissolved intra-feldspar pores and the residual intergranular pores, and finally formed the tight reservoirs.The petrophysical properties significantly control the fluid flow capability and the oil charging/accumulation capability of the Chang 8 tight sandstones. Oil layers usually have oil saturation greater than 40%. A pore-throat radius of less than 0.4 μm is not effective for producible oil to flow, and the cut off of porosity and permeability for the net pay are 7% and 0.1 mD, respectively.  相似文献   
19.
对2016年全年颗粒物监测浓度数据进行统计分析,得到了安徽省颗粒物污染的空间分布、浓度和粒径,以及污染传输特征。结果表明,淮河以北、沿江和江淮之间、长江以南和皖南山区城市颗粒物污染随地理位置不同表现出明显的区域化特征,污染程度由北向南减轻,污染过程明显表现出由北向南逐步扩散传输的规律,污染程度越重,污染深入南方的范围越广,持续时间也越长。冬季污染较重的城市,上午出现明显的高浓度时段,全天变化为“双峰双谷”型。夏、秋季节夜间细颗粒物(PM2.5)浓度贡献比增加。PM2.5与PM10(可吸入颗粒物)质量浓度比值冬季最高,春季较低。污染重的城市冬季PM2.5占比高。  相似文献   
20.
断陷湖盆缓坡河流成因砂体是重要的油气储集单元。根据岩心观察、钻井岩/电特征并结合地震沉积学方法,分析断陷湖盆缓坡河流沉积体系和砂体时空分布特征,能为油气精细勘探提供可靠的依据。研究表明,霸县凹陷文安斜坡中部东营组三段周期性地发育4条呈NE-SW辫-曲复合型河流沉积,由河道沉积、砂坝沉积和泛滥平原沉积3种亚相以及辫状河道、曲流河道、砂质河道砂坝、泥质河道砂坝、决口扇和泛滥平原泥6种微相构成。河流展布方向与正北夹角(α)为40°~65°,河道视宽度(l)为1.47~2.64 km,主河道的视宽度(w)为0.03~0.58 km,河道带测量厚度(H)为16.0~52.0 m,主河道测量厚度(D)为8.0~23.0 m,主河道钻井解释厚度(d)为1~16.5 m,平均厚度6.5 m。断陷盆地断-坳转换期缓坡河流相沉积受控于盆地构造、气候、物源、沉积物压实及流速等多因素。边界断层差异性活动导致的盆地不均衡沉降是缓坡带河流相类型及砂体空间分布的主控因素。气候周期性变化通过流量控制了河型,调整和改造早期河道沉积物,决定了微相和砂体组合。斜坡中外带是粗粒沉积物主要卸载区,河道及河道砂坝等优势储集砂体呈条带状连片分布,斜坡内带形成的厚层泥岩限制油气垂向运移和侧向充注。斜坡中外带被油源断层切割,在油气运移路径上受晚期断层切割的厚层河道及河道砂坝是岩性-构造油气藏勘探的潜力区域。  相似文献   
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号