Fully coupled hydraulic fracture simulation using the improved element partition method

The improved element partition method (IEPM) is a newly developed fracture simulation approach. IEPM allows a fracture to run across an element without introducing extra degrees of freedom. It can also simulate any number of fractures in a prescribed mesh without remeshing. In this study, the IEPM is extended to hydraulic fracture simulation. First, the seepage and volumetric storage matrix of a cracked element are derived using virtual nodes (the intersection points of a crack with element edges). Subsequently, the fully coupled hydromechanical equation is derived for this cracked element. To eliminate the extra degrees of freedom (virtual nodal quantities), the water pressure and displacement of the virtual nodes are associated with their adjacent nodes through least squares interpolation. Finally, the fully coupled equation in terms of nodal quantities is obtained. The verification cases validate the method. By using this method, the field-scale hydraulic fracturing process is well simulated. The proposed approach is simple and efficient for field-scale hydraulic fracture simulation.     

山地城镇虚拟地理环境构建及规划设计实践

我国山地城镇约占全国城镇的一半,在当前平原向山区发展的进程中,山地城镇可持续发展需要虚拟地理环境等新理念和集成技术的支撑。面向山地城镇规划设计的特点和需求,基于虚拟地理环境相关理论和技术方法,本文提出了规划设计、测绘地理信息、岩土工程、生态保护等多学科交叉;规划设计师、GIS分析师、政府部门、项目业主、公众等多角色参与;地理表达、地理分析、地理设计、地理模拟、地理评估多环节结合;紧密结合规划设计过程和虚拟地理环境模拟评估的山地城镇规划设计技术框架。结合重庆悦来会展城规划设计实践对框架的特点优势开展进一步探讨,为山地城镇规划设计工作提供了参考。     

信息科学与矿产预测

矿产预测实质上就是对成矿系统演化过程精确性表达的探索,现代信息科学的发展为理解成矿系统的非线性特性以及信息运动过程提供了必要的理论基础。通过信息与成矿信息、虚拟现实技术与成矿预测可视化和信息模型与成矿系统三个方面探讨信息科学的发展与矿产预测之间的紧密联系,预测未来成矿预测将向定量化、精细化的方向发展,对矿的定位预测从以分析为主向分析与综合相结合方向发展。     

地理知识可视化中知识图特征与应用——以小流域淤地坝系规划为例

依据心智表达的双重编码理论、地理的空间图形思维特点以及支持可视化知识探析需求,讨论地理知识可视化中知识图的定义与特点,并把地理知识图分为地理概念命题图与地理相似图解图,地理相似图解图又可分为逻辑拓扑相似图、空间结构相似图、变量关系相似图以及地理过程相似图.以黄土高原的小流域淤地坝系规划为案例,研究了支持坝系空间规划知识图中的概念命题图与相似图解图的形式、种类及其相互关系.     

自适应虚同相轴方法压制地震层间多次波

地震数据中发育的层间多次波是影响速度分析和偏移成像的精度和可靠性的关键.通常情况下,层间多次波的动校正量、叠加速度和频率与一次波并无明显差异,从而对识别、预测和压制多次波带来了极大挑战.传统虚同相轴方法基于物理图像和定性公式,其预测的层间多次波振幅和相位精度难以满足实际需求,造成了其对匹配算法的过度依赖.本文针对传统虚同相轴方法的理论缺陷和计算精度问题,通过理论推导得到了新的自适应虚同相轴方法.相比于传统方法,自适应虚同相轴方法能够显著提高压制多次波能力,同时减少对匹配算法的依赖.本文给出了自适应虚同相轴方法的推导过程,并运用一维和二维模型算例验证了方法相较于传统虚同相轴方法的多次波预测精度优势.通过在PLUTO模型和实际陆地地震数据上的应用实例,证明了本文新研究的自适应虚同相轴方法对去除层间多次波,恢复并突出目标储层同相轴,提高地震成像分辨率的显著作用.     

基于便携式移动终端的虚拟地理环境协同感知问题研究

基于便携式移动终端的虚拟地理环境系统的主要目的,是提供一个便于携带、方便使用并支持多人交互合作的平台,其中用户之间的协同感知必然是多用户进行协同工作的基础。从便携式移动终端的硬件和软件构成着手,从终端到体系构建多移动终端用户虚拟地理环境体系结构,总结便携式移动终端协同感知问题自身的特点,提出基于空间感知的协同模型。     

利用HLA的分布式虚拟森林环境构建

以分布式虚拟森林灭火环境为例,基于HLA/RTI协议,设计和初步实现了地形、树木、林火、灭火工具联邦成员组成的分布式森林灭火仿真系统虚拟场景的三维动态生成与显示。系统将仿真的底层通讯和上层的模型控制框架、三维图形绘制分离开来,形成各个独立的模块,具有扩展性和重用性。     

An improved segmentation approach for planar surfaces from unstructured 3D point clouds

The extraction of object features from massive unstructured point clouds with different local densities, especially in the presence of random noisy points, is not a trivial task even if that feature is a planar surface. Segmentation is the most important step in the feature extraction process. In practice, most segmentation approaches use geometrical information to segment the 3D point cloud. The features generally include the position of each point (X, Y and Z), locally estimated surface normals and residuals of best fitting surfaces; however, these features could be affected by noisy points and in consequence directly affect the segmentation results. Therefore, massive unstructured and noisy point clouds also lead to bad segmentation (over-segmentation, under-segmentation or no segmentation). While the RANSAC (random sample consensus) algorithm is effective in the presence of noise and outliers, it has two significant disadvantages, namely, its efficiency and the fact that the plane detected by RANSAC may not necessarily belong to the same object surface; that is, spurious surfaces may appear, especially in the case of parallel-gradual planar surfaces such as stairs. The innovative idea proposed in this paper is a modification for the RANSAC algorithm called Seq-NV-RANSAC. This algorithm checks the normal vector (NV) between the existing point clouds and the hypothesised RANSAC plane, which is created by three random points, under an intuitive threshold value. After extracting the first plane, this process is repeated sequentially (Seq) and automatically, until no planar surfaces can be extracted from the remaining points under the existing threshold value. This prevents the extraction of spurious surfaces, brings an improvement in quality to the computed attributes and increases the degree of automation of surface extraction. Thus the best fit is achieved for the real existing surfaces.     

地下空间数据挖掘与虚拟现实

目前,地理信息系统处理空间数据多停留在点、线、面三类二维的地表数据,对离散或连续的真三维数据进行处理尚处于初步研究阶段。本文基于ArcGIS9.2版本中新开发的Extrude Between模块的拉伸封闭多边形面功能,以某校区地下87个离散钻孔数据为例,进行三维虚拟实现:首先,进行空间数据的挖掘,即对87个钻孔数据通过预处理,进行对具有特异值的各个钻孔数据层空间内插,生成具有深度属性的各层等高线,最终生成模拟各地层上表面形态的TIN;然后,虚拟实现真三维数据的可视化及体视化,达到对地下实体空间进行逼真模拟,反映该校区地形、地貌、地层分布以及水文地质特征。     

虚拟仿真技术在地质学中的应用

得益于计算机技术、人工智能技术、多媒体技术、传感器技术等的迅速发展,虚拟仿真在科学领域已经得到了广泛的应用并具有巨大的市场需求。在地质学中,国内外高校已经将虚拟仿真技术应用到教学中,使其打破了传统教学的时空限制。但目前虚拟仿真在该领域的应用还存在场景内容欠缺,交互感不足,细节展示不够等问题。为能够进一步拓展虚拟仿真技术在地质学中的应用思路,文章对虚拟仿真技术在多个科学学科中的应用情况进行研究,介绍了面向地学的综合型、国际化的沉浸式虚拟仿真实验室实例。综合型的地学虚拟仿真实验室的建立,将深度融合地学与虚拟仿真技术,为多学科交叉融合、国际化教学等未来的教学发展方向提供更有效的平台。