Facies recognition of some Tertiary coals applied to prediction of oil source rock occurrence

Coals are oil source rocks in many of the Tertiary basins of Southeast Asia. The precursors of these hydrogen rich and oxygen poor coals are coastal plain peats which have mainly developed in an everwet and tropical climate. In these environments water flow and reworking can concentrate liptinitic kerogen in preference to vitrinitic kerogen. The distribution, petrography and chemistry of the coaly Miocene source rocks present in the Kutai Basin are described. The recognition of environmental controls on the accumulation of potentially oil-prone coals and coaly shales in deltaic environments is an aid to predictive source bed recognition in petroleum exploration. Comments on the environment of deposition of coaly sediments in the basins of the Norwegian Sea are discussed with reference to their possible oil and/or gas sourcing potential. The Triassic - Jurassic coals of the Haltenbanken area may become more oil-prone towards the delta margins, and facies mapping could aid oil exploration in this area.     

等高线自动绘制中断层处理的新方法

提出了一种断层处理新方法——分块法与断层恢复法合成算法，这种方法兼有分块法与断层恢复法的优点同时又克服了其不足，较好地解决了含逆断层时煤层底板等高线自动绘制及任意边界的构网问题，使绘出的等值线图误差较小，更加符合实际。     

海洋天然气水合物的地震识别方法研究

天然气水合物作为21世纪新的自然能源将为人类的生存发展服务。20世纪60年代证实，俄罗斯西伯利亚的麦索亚哈气田为典型的天然气水合物形成的气田，70年代又在海底发现了固体天然气水合物岩样。1971年，RStoll首先将地震剖面中的似海底反向层解释为海洋天然气水合物存在的标志，后来被深海钻探证实，从此地震方法成为大面积研究天然气水合物的重要手段。天然气水合物既是潜在能源，也是影响环境和形成灾害的因素之一，因此，研究天然气水合物是人类在21世纪的重要课题。探讨海洋天然气水合物的地震识别方法，由于这项工作刚刚起步，还没有做出具体的成果，在此只能根据我们仅有的工作和参照国外分开的出版物，以及出国访问得到的有关资料进行分析，提出我们的一些基本设想，与各位专家探讨。     

基于RS与GIS技术的变更图斑自动识别方法研究

基于RS与GIS技术的土地利用变更图斑自动识别方法,即"以遥感正射影像图为基础,以地理信息和地物反射光谱为判别依据"的变更信息识别方法,能够尽量避免传统利用遥感影像分类技术进行地物变更识别存在的不足。本文通过对距离算法的改良,有效利用遥感数据的实时性和丰富性,在地理信息系统的支持下,提高了对地物变更地块的识别精度。     

一种基于启发式算法的等高线局部内插方法

在基于启发式内插等高线算法的基础上提出了一种局部内插方法。首先利用Douglas-Peucker算法提取等高线的特征点,根据特征点判断等高线之间的相似性程度,找出导致等高线出现异常的特征点;然后将相似性程度很低的两条等高线自动分解为若干简单等高线再进行内插。有效地解决了局部弯曲很大、马鞍型地貌等复杂等高线的内插问题。算法已经在以Microstation为平台的数字制图系统中实现并逐渐实用化。     

利用双向缓冲区算法综合海图岛屿

阐述了岛屿综合的内容和原则。介绍了双向缓冲区算法的概念并给出了双向缓冲区算法的定义,研究并证明了双向缓冲区算法的特性。分析了利用双向缓冲区算法综合海图岛屿的原理,并通过实验验证利用双向缓冲区算法综合海图岛屿具有较好的效果。     

基于圆增长特征的点状要素群选取算法

控制点、独立地物等在地图上呈点群状表达,如何高效、合理地实现此类要素的自动综合是地图多尺度表达的重要问题。文中在前人研究的基础上,提出一种基于圆增长特征的点状要素群结构化选取算法,实现点状要素群的自动选取。其基本原理是：根据一个点与其周围点重要性程度的比较来确定该点删除与否,从而确保其拓扑关系和几何信息的正确性。实验证明：该算法实用、有效。     

地籍管理中宗地图自动输出的设计与实现

以ArcGIS9．1为平台,以ArcEngine为二次开发组件,对宗地图这一地籍管理中的重要图件进行分析,阐述了自动输出宗地图的算法流程及宗地数据库的设计,并对自动化输出中的批量导出、界址点抽稀等关键技术进行探讨研究,列举部分实现功能的代码及其实现效果图。这一功能的实现对国土部门的办公自动化具有现实意义。     

Automated Kerogen Classification in Microscope Images of Dispersed Kerogen Preparation

We develop the classification part of a system that analyses transmitted light microscope images of dispersed kerogen preparation. The system automatically extracts kerogen pieces from the image and labels each piece as either inertinite or vitrinite. The image pre-processing analysis consists of background removal, identification of kerogen material, object segmentation, object extraction (individual images of pieces of kerogen) and feature calculation for each object. An expert palynologist was asked to label the objects into categories inertinite and vitrinite, which provided the ground truth for the classification experiment. Ten state-of-the-art classifiers and classifier ensembles were compared: Naïve Bayes, decision tree, nearest neighbour, the logistic classifier, multilayered perceptron (MLP), support vector machines (SVM), AdaBoost, Bagging, LogitBoost and Random Forest. The logistic classifier was singled out as the most accurate classifier, with an accuracy greater than 90. Using a 10 times 10-fold cross-validation provided within the Weka software, we found that the logistic classifier was significantly better than five classifiers (p<0.05) and indistinguishable from the other four classifiers. The initial set of 32 features was subsequently reduced to 6 features without compromising the classification accuracy. A further evaluation of the system alerted us to the possible sensitivity of the classification to the ground truth that might vary from one human expert to another. The analysis also revealed that the logistic classifier made most of the correct classifications with a high certainty.     

自动化监测技术在我国首条大型电力隧道中的应用

通过自动化监测在超大工程项目中的应用,利用现有技术手段,对工程进行有效管理,逐渐将对工程的安全、预判起到越来越重要的作用,它可以在为工程节约大量资金情况下,提高预判安全施工的能力,是提高工程管理的重要手段。