油页岩综合利用对周围环境的影响——以抚顺矿区为例

世界能源日益减少的局面为油页岩的开发应用带来广阔的前景，但油页岩工业所带来的环境影响亦不容忽视。以抚顺油页岩为例，从油页岩综合利用和油页岩工业对环境的影响等方面系统讨论了在我国发展油页岩工业时，如何本着节约能源、保护环境、实现可持续发展的观念，利用现有先进技术，科学发展油页岩工业，降低生产过程中的固、液、气污染物对环境的危害。     

USB总线与CAN总线协议转换器设计

现场总线(F ield bus)是将自动控制系统中底层的现场控制器和现场智能仪表设备互连的实时控制通讯网络,是5C(Computer,Control,Commun ication,CRT,Change)技术相结合的产物。CAN(Control Area Network)总线是现场总线的一种,广泛应用于汽车行业、机械工业、家用电器、传感器等领域,已经形成国际标准,是被公认的几种最有前途的现场总线之一。提出了一种通过计算机USB接口实现现场总线CAN与计算机(服务器)之间通信的方案。具体介绍了使用USB总线接口芯片CH372和独立的CAN控制器SJA1000实现的硬件电路设计方法、本地端软件的编写方法,给出了主要程序模块的流程。     

油气化探数据库系统

建立油气化探数据库是油气化探信息资源共享、科学管理、宏观决策的基础和依据,是油气化探数据处理及异常评价的基础。本系统采用动态自适应结构,收集、录入了几十年来我国油气化探数据,可以完成油气化探数据登录、管理、浏览、检索、报表、数据预处理。文章中论述了油气化探数据库的结构、特点及功能,反映了油气化探数据库研究领域的新进展和研究水平。     

山西沁水盆地煤层气成藏的微观动力能条件研究

煤层气成藏的微观动力能条件主要包括煤储层的孔隙—裂隙系统、煤储层的生气作用和储气作用两个方面。以山西沁水盆地为例,深入剖析了煤储层的孔隙—裂隙系统及其发育历程、煤储层的生气作用与能量聚散,阐明了煤层气成藏的微观动力能对成藏效应的控制作用。结果表明:构造作用对储层渗透率具有明显的控制作用,成烃增压致使能量聚集,成为盖层突破作用的主要驱动力,而能量放散则主要是通过煤储层孔隙—裂隙系统的产生、发展。根据上述研究成果,沁水盆地煤层气成藏的地质区划结果为:盆地南部的有利区带为阳城和晋城的北部地区,包括潘庄、樊庄、郑庄等地区;盆地中部的有利区带为安泽—沁源地区,位于盆地西斜坡的中南部;盆地北部的可能有利区带为寿阳东南部地区,位于榆次东北部和阳泉西南部之间。     

青藏高原中部的东西向扩张构造运动

系统分析了1933~2003年间青藏高原及其周缘发生的745个中、强地震的震源机制解,研究了高原地壳构造运动及其动力学特征。结果表明,大量正断层型地震集中发生在青藏高原中部海拔4000m以上的地区,其中许多地震是纯正断层型地震。震源机制结果显示,该区正断层型地震的断层走向多为南北方向,断层位错矢量的水平分量均位于近东西方向,这表明青藏高原高海拔地区存在着近东西方向的扩张构造运动。地震震源应力场的研究结果表明,在高原中部高海拔地区,E-W向或WNW-ESE向的水平扩张作用控制着该区的地壳应力场。青藏高原高海拔地区近东西方向的扩张构造运动是该区引张应力场的作用结果,其动力学原因可能与持续隆升的高原自重增大引起的重力崩塌及其周边区域构造应力状况有关。而青藏高原周缘地区,除了东部边缘外,南部的喜马拉雅山前沿以及青藏高原的北部、西部边缘所发生的绝大部分地震都是逆断层型或走滑逆断层型地震。在青藏高原周缘地区,北东或者北北东方向水平挤压的构造应力场为优势应力场。在中国西部的大范围内,主压应力P轴水平分量位于NE-SW方向,形成了一个广域的NE-SW方向的挤压应力场。青藏高原及其周缘应力场特征表明,印度板块的北上运动以及它与欧亚板块之间的碰撞所形成的挤压应力场是高原强烈隆起的直接原因。在青藏高原中南部形成了近东西向引张应力场为主的区域,并以东西向扩张构造运动部分释放其应力积累。研究高原高海拔地区的引张应力场和近东西向扩张构造运动的特征,对于认识青藏高原强烈隆起的地球动力学过程与机制,有着重要的理论意义。     

邯峰矿区古构造应力场与构造演化

采用共轭剪节理应力反演方法,恢复了邯郸-峰峰矿区晚古生代以来的3期古构造应力场,进而探讨了煤田构造的演化历史,将其分为4大阶段：①中生代早期近NS向挤压,煤系后期改造初动期;②中生代晚期SE-NW向挤压,奠定煤田构造格架的基础;③中生代末至古近纪NW-SE向拉张,煤田构造格架定型;④新近纪以来近东西向拉张,煤田构造的现代活动.     

Outlier detection algorithms and their performance in GOCE gravity field processing

The satellite missions CHAMP, GRACE, and GOCE mark the beginning of a new era in gravity field determination and modeling. They provide unique models of the global stationary gravity field and its variation in time. Due to inevitable measurement errors, sophisticated pre-processing steps have to be applied before further use of the satellite measurements. In the framework of the GOCE mission, this includes outlier detection, absolute calibration and validation of the SGG (satellite gravity gradiometry) measurements, and removal of temporal effects. In general, outliers are defined as observations that appear to be inconsistent with the remainder of the data set. One goal is to evaluate the effect of additive, innovative and bulk outliers on the estimates of the spherical harmonic coefficients. It can be shown that even a small number of undetected outliers (<0.2 of all data points) can have an adverse effect on the coefficient estimates. Consequently, concepts for the identification and removal of outliers have to be developed. Novel outlier detection algorithms are derived and statistical methods are presented that may be used for this purpose. The methods aim at high outlier identification rates as well as small failure rates. A combined algorithm, based on wavelets and a statistical method, shows best performance with an identification rate of about 99%. To further reduce the influence of undetected outliers, an outlier detection algorithm is implemented inside the gravity field solver (the Quick-Look Gravity Field Analysis tool was used). This results in spherical harmonic coefficient estimates that are of similar quality to those obtained without outliers in the input data.     

A parametric study on the impact of satellite attitude errors on GOCE gravity field recovery

In the recent design of the Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite mission, the gravity gradients are defined in the gradiometer reference frame (GRF), which deviates from the actual flight direction (local orbit reference frame, LORF) by up to 3–4°. The main objective of this paper is to investigate the effect of uncertainties in the knowledge of the gradiometer orientation due to attitude reconstitution errors on the gravity field solution. In the framework of several numerical simulations, which are based on a realistic mission configuration, different scenarios are investigated, to provide the accuracy requirements of the orientation information. It turns out that orientation errors have to be seriously considered, because they may represent a significant error component of the gravity field solution. While in a realistic mission scenario (colored gradiometer noise) the gravity field solutions are quite insensitive to small orientation biases, random noise applied to the attitude information can have a considerable impact on the accuracy of the resolved gravity field models.     

GGM02 – An improved Earth gravity field model from GRACE

A new generation of Earth gravity field models called GGM02 are derived using approximately 14 months of data spanning from April 2002 to December 2003 from the Gravity Recovery And Climate Experiment (GRACE). Relative to the preceding generation, GGM01, there have been improvements to the data products, the gravity estimation methods and the background models. Based on the calibrated covariances, GGM02 (both the GRACE-only model GGM02S and the combination model GGM02C) represents an improvement greater than a factor of two over the previous GGM01 models. Error estimates indicate a cumulative error less than 1 cm geoid height to spherical harmonic degree 70, which can be said to have met the GRACE minimum mission goals. Electronic Supplementary Material Supplementary material is available in the online version of this article at     

Global height datum unification: a new approach in gravity potential space

The problem of “global height datum unification” is solved in the gravity potential space based on: (1) high-resolution local gravity field modeling, (2) geocentric coordinates of the reference benchmark, and (3) a known value of the geoid’s potential. The high-resolution local gravity field model is derived based on a solution of the fixed-free two-boundary-value problem of the Earth’s gravity field using (a) potential difference values (from precise leveling), (b) modulus of the gravity vector (from gravimetry), (c) astronomical longitude and latitude (from geodetic astronomy and/or combination of (GNSS) Global Navigation Satellite System observations with total station measurements), (d) and satellite altimetry. Knowing the height of the reference benchmark in the national height system and its geocentric GNSS coordinates, and using the derived high-resolution local gravity field model, the gravity potential value of the zero point of the height system is computed. The difference between the derived gravity potential value of the zero point of the height system and the geoid’s potential value is computed. This potential difference gives the offset of the zero point of the height system from geoid in the “potential space”, which is transferred into “geometry space” using the transformation formula derived in this paper. The method was applied to the computation of the offset of the zero point of the Iranian height datum from the geoid’s potential value W ₀=62636855.8 m²/s². According to the geometry space computations, the height datum of Iran is 0.09 m below the geoid.