The paleoclimatic records and the relevance with the formation of hydrocarbon source rocks:A case study of Huanghekou depression,Bohaiwan basin

Bohaiwan basin, covering an area of 200 000 km², is one of the most important oil-bearing basins in Eastern China. Rifting processes formed the basin, and two evolution phases can be recognized. The rifting phase developed in Paleogene, and post-rifting phase occurred in Neogene. More than 200 oil fields have been found in the onshore and offshore area in Bohaiwan basin in recent years. The distribution of the oil fields is closely related to the rich hydrocarbon depressions, and the Huanghekou depression is one of these rich hydrocarbon depressions. A number of large and medium-sized oil and gas fields have been found in this area, such as BZ25-1, BZ34 etc., and the hydrocarbon was mainly from the Huanghekou depression. The formation of rich hydrocarbon source rocks depended on the tectonic setting of rapid subsidence, favorable paleoclimatic conditions and paleolimnology environments. The effects of paleoclimatic condition on hydrocarbon source rocks are the focus of this paper. __________ Translated from Geological Bulletin of China, 2007, 26(7): 830–840 [译自: 地质通报]     

根据Dobson和TOMS资料分析北京和昆明大气臭氧总量变化特征

用约２０年 Ｄｏｂｓｏｎ和ＴＯＭＳ资料来分析北京（３９.９３°Ｎ，１１６.４０°Ｅ）和昆明 （２５.０２°Ｎ，１０２．６８°）两地大气臭氧总量的变化特征，结果表明：（１）在１９７９－２０００年间北京大气臭氧长期变化趋势是－０．６４２ ＤＵ／年，而昆明在１９８０－２０００年间的趋势是－０.００９ ＤＵ／年；（２）北京和昆明两地大气臭氧都有很强的季节内变化（尤其冬季更强），与季节性变化强度相当；（３）在北京和昆明，由记录较短的大气臭氧资料分析得到的长期变化趋势，与较长记录得到的结果有显著差异；（４）在北京（中纬度）和昆明（低纬度）大气臭氧都有显著的准两年振荡信号；（５）两个站点大气臭氧的年际变化主要由长期趋势项和准两年振荡信号组成；（６）Ｄｏｂｓｏｎ仪测量得到的臭氧总量与ＴＯＭＳ资料非常一致。     

榴辉岩中铁铝榴石的测定方法研究

对国内主要矿区铁铝石榴子石纯矿物中铁的价态规律进行了研究。证明其所含Ｆｅ均以Ｆｅ＾２＋为主，其质量分数在８３－９４，并将Ｆｅ＾２＋这特征性成分用于某地榴辉岩中铁铝榴石的间接测定，获得结果与焙烧磁化－磁选法一致且精度好，较磁化法简便，快速。     

Study of statistically correcting model CMAQ-MOS for forecasting regional air quality

Based on analysis of the air pollution observational data at 8 observation sites in Beijing including outer suburbs during the period from September 2004 to March 2005, this paper reveals synchronal and in-phase characteristics in the spatial and temporal variation of air pollutants on a city-proper scale at deferent sites; describes seasonal differences of the pollutant emission influence between the heating and non-heating periods, also significantly local differences of the pollutant emission influence between the urban district and outer suburbs, i.e. the spatial and temporal distribution of air pollutant is closely related with that of the pollutant emission intensity. This study shows that due to complexity of the spatial and temporal distribution of pollution emission sources, the new generation Community Multi-scale Air Quality (CMAQ) model developed by the EPA of USA produced forecasts, as other models did, with a systematic error of significantly lower than observations, albeit the model has better capability than previous models had in predicting the spatial distribution and variation tendency of multi-sort pollutants. The reason might be that the CMAQ adopts average amount of pollutant emission inventory, so that the model is difficult to objectively and finely describe the distribution and variation of pollution emission sources intensity on different spatial and temporal scales in the areas, in which the pollution is to be forecast. In order to correct the systematic prediction error resulting from the average pollutant emission inventory in CMAQ, this study proposes a new way of combining dynamics and statistics and establishes a statistically correcting model CMAQ-MOS for forecasts of regional air quality by utilizing the relationship of CMAQ outputs with corresponding observations, and tests the forecast capability. The investigation of experiments presents that CMAQ-MOS reduces the systematic errors of CMAQ because of the uncertainty of pollution emission inventory and improves the forecast level of air quality. Also this work employed a way of combining point and area forecasting, i.e. taking the products of CMAQ for a center site to forecast air pollution for other sites in vicinity with the scheme of model products "reanalysis" and average over the "area".     

微波照射下火成岩升温特性和升温预测模型研究

微波辅助破岩可有效降低刀具磨损,提高破岩效率,具有广阔的发展前景.文章选取了10种火成岩进行微波加热试验,发现岩石的升温速率主要与岩石所含矿物的种类、含量,及岩石中的Fe元素含量有关.岩石所含矿物越敏感、含量越多,岩石中的Fe元素含量越大时,其升温速率越高.整体而言,火成岩中基性岩的升温速率最高、中性岩次之、酸性岩最低...     

Predicting saturation of gas hydrates using pre-stack seismic data, Gulf of Mexico

A promising method for gas hydrates exploration incorporates pre-stack seismic inversion data, elastic properties modeling, and seismic interpretation to predict saturation of gas hydrates (Sgh). The technology can be modified slightly and used for predicting hydrate concentrations in shallow arctic locations as well. Examples from Gulf of Mexico Walker Ridge (WR) and Green Canyon (GC) protraction areas illustrate how Sgh was derived and used to support the selection of well locations to be drilled for gas hydrates in sand reservoirs by the Chevron-led Joint Industry Project (JIP) Leg II cruise in 2009. Concentrations of hydrates were estimated through the integration of seismic inversion of carefully conditioned pre-stack data, seismic stratigraphic interpretation, and shallow rock property modeling. Rock property trends were established by applying principles of rock physics and shallow sediment compaction, constrained by regional geological knowledge. No nearby sonic or density logs were available to define the elastic property trends in the zone of interest. Sgh volumes were generated by inverting pre-stack data to acoustic and shear impedance (PI and SI) volumes, and then analyzing deviations from modeled impedance trends. In order to enhance the quality of the inversion, we stress the importance of maximizing the signal to noise ratio of the offset data by conditioning seismic angle gathers prior to inversion. Seismic interpretation further plays an important role by identifying false anomalies such as hard, compact strata, which can produce apparent high Sgh values, and by identifying the more promising strata and structures for containing the hydrates. This integrated workflow presents a highly promising methodology, appropriate for the exploration of gas hydrates.     

浅海水下地形地貌遥感信息提取与应用

本文根据笔者在我国渤海海峡、闽江口、瓯江口以及珠江口附近海域的遥感实验,讨论由卫星遥感提供的水下地形地貌信息的特征、机理,提出使用信息论和灰色系统论方法分析水深遥感信息传递的过程。以此为依据,建立水深信息提取模型,研究其实用性、精度和效果。实践表明,水深遥感的测量精度没有达到大、中比例尺常规测量的要求。但作为大面积、短周期的宏观分析,特别是遥感图像上显示的海水表层流场特征,对判别浅海水下地形走向和地貌单元,了解其冲刷、沉积作用的动力因素,动态变化等具有十分重要的意义,它成为常规方法的补充手段。对近海的规划、开发,如港湾海水养殖、航道选址、海上工程、海水排污等方面的海水环境分析与宏观评价及监测,具有一定的优势。本文着重讨论了以下三个问题: 1.水下地形地貌遥感的原理与信息特性;2.水深信息提取及灰色系统方法与模糊判别模型分析;3.遥感水下地形地貌的应用与效果分析。     

16排螺旋CT3D及MIP在肝癌APS中的临床应用

目的:探讨16排螺旋CT三维及最大密度重建技术在肝癌动门脉分流诊断中的应用价值.方法:对64例肝癌伴动门脉分流患者的16排螺旋CT增强图像进行三维及最大密度重建,并对重建图像进行观察和分析(与CT轴位图像和数字减影血管造影图像进行对照).结果:16排螺旋CT三维及最大密度重建技术能全面、直观、多方位地显示肝癌动门脉分流的影像征象,并能较好显示动门脉分流导致的血液动力学改变.结论:16排螺旋CT三维及最大密度重建作为轴位CT图像的重要后处理技术,具有无创、直观、快速显示肝癌动门脉分流各种影像征象的特点,为临床诊断和治疗肝癌动门脉分流提供可靠的依据.     

遗忘因子自适应最小二乘算法及其在气温预报中的应用

海量数据的利用是建立自适应预报模型的基础,但随着数据的不断增加,新引入数据的作用会逐渐降低,有可能导致预报模型失效。为克服因数据量增加引起的所谓"数据饱和"现象对天气预报效果的影响,本文给出了考虑遗忘因子的线性自适应最小二乘建模算法的原理和方法,并利用该算法进行了最高气温和最低气温预报试验。结果表明,考虑遗忘因子的线性自适应建模算法优于传统的线性自适应建模算法,加入遗忘因子可以避免产生"数据饱和"现象,适当地选择遗忘因子有助于提高模型的预报准确率。     

RTK技术代替图根导线控制测量的探讨

针对单基站RTK技术代替全站仪导线测量的方法,从理论结合实际的角度,以河南理工大学新校区为试验区,通过RTK测量与全站仪导线测量的精度对比分析,得出一些对实际生产有参考意义的结论。