3D Visualization for Detailed Sedimentary-Facies Modeling of Lishui Depression, East China Sea Basin

2013 ◽  
Vol 442 ◽  
pp. 489-493 ◽  
Author(s):  
Jin Shui Liu ◽  
Xue Li ◽  
Jin Laing Zhang ◽  
Cun Lei Li
Keyword(s):  
Spatial Data ◽  
Structural Changes ◽  
3D Visualization ◽  
Sedimentary Environment ◽  
Sedimentary Facies ◽  
Time Dimension ◽  
Facies Modeling ◽  
Geological Body ◽  
Indicator Simulation ◽  
Adaptive Visualization

Geological body is the product of the geological evolution in the time dimension and is also the record and the process of structural changes and sequence changes presenting in 3D configuration, so 3D visualization for sedimentary-facies modeling can results in a large quantity of spatial data which can be used for detailed sedimentary-facies modeling. Lishui Depression is taken for an example and the lower of Mingyuefeng Formation is the target formation for this study. Based on the analysis of sequence cycles and sedimentary environment and interpretation of 3D geological objects, the detailed 3D sedimentary-facies model for the lower Mingyuefeng Formation is built with Sequential Indicator Simulation. Then the 3D visualization of local sedimentary-facies is detailedly presented through fence models and profile models. The results prove that the methodology is competent for 3D modeling and self-adaptive visualization of large geological objects and it is a good way to solve the problem of integration and share of geological spatial data.

scholarly journals Olomouc - Possibilities of Geovisualization of the Historical City

2011 ◽  
Vol 6 ◽  
pp. 267-274
Author(s):  
Stanislav Popelka ◽  
Alžběta Brychtová
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
18Th Century ◽  
3D Visualization ◽  
3D Models ◽  
Google Earth ◽  
Point Of View ◽  
World Heritage Site ◽  
Historical Maps ◽  
The City

Olomouc, nowadays a city with 100,000 inhabitants, has always been considered as one of the most prominent Czech cities. It is a social and economical centre, which history started just about the 11th century. The present appearance of the city has its roots in the 18th century, when the city was almost razed to the ground after the Thirty years’ war and a great fire in 1709. After that, the city was rebuilt to a baroque military fortress against Prussia army. At the beginning of the 20th century the majority of the fortress was demolished. Character of the town is dominated by the large number of churches, burgher’s houses and other architecturally significant buildings, like a Holy Trinity Column, a UNESCO World Heritage Site. Aim of this project was to state the most suitable methods of visualization of spatial-temporal change in historical build-up area from the tourist’s point of view, and to design and evaluate possibilities of spatial data acquisition. There are many methods of 2D and 3D visualization which are suitable for depiction of historical and contemporary situation. In the article four approaches are discussed comparison of historical and recent pictures or photos, overlaying historical maps over the orthophoto, enhanced visualization of historical map in large scale using the third dimension and photorealistic 3D models of the same area in different ages. All mentioned methods were geolocalizated using the Google Earth environment and multimedia features were added to enhance the impression of perception. Possibilities of visualization, which were outlined above, were realized on a case study of the Olomouc city. As a source of historical data were used rapport plans of the bastion fortress from the 17th century. The accuracy of historical maps was confirmed by cartometric methods with use of the MapAnalyst software. Registration of the spatial-temporal changes information has a great potential in urban planning or realization of reconstruction and particularly in the propagation of the region and increasing the knowledge of citizens about the history of Olomouc.

scholarly journals DEVELOPMENT OF A HETEROGENIC DISTRIBUTED ENVIRONMENT FOR SPATIAL DATA PROCESSING USING CLOUD TECHNOLOGIES

2016 ◽  
Vol XLI-B4 ◽  
pp. 385-390
Author(s):  
A. S. Garov ◽  
I. P. Karachevtseva ◽  
E. V. Matveev ◽  
A. E. Zubarev ◽  
I. V. Florinsky
Keyword(s):  
Data Processing ◽  
Spatial Data ◽  
3D Visualization ◽  
New Technology ◽  
Main Idea ◽  
Remote Sensing Data ◽  
Data Access ◽  
Working Environment ◽  
Software Environment ◽  
Spatial Data Processing

We are developing a unified distributed communication environment for processing of spatial data which integrates web-, desktop- and mobile platforms and combines volunteer computing model and public cloud possibilities. The main idea is to create a flexible working environment for research groups, which may be scaled according to required data volume and computing power, while keeping infrastructure costs at minimum. It is based upon the "single window" principle, which combines data access via geoportal functionality, processing possibilities and communication between researchers. Using an innovative software environment the recently developed planetary information system (<a href="http://cartsrv.mexlab.ru/geoportal"target="_blank">http://cartsrv.mexlab.ru/geoportal</a>) will be updated. The new system will provide spatial data processing, analysis and 3D-visualization and will be tested based on freely available Earth remote sensing data as well as Solar system planetary images from various missions. Based on this approach it will be possible to organize the research and representation of results on a new technology level, which provides more possibilities for immediate and direct reuse of research materials, including data, algorithms, methodology, and components. The new software environment is targeted at remote scientific teams, and will provide access to existing spatial distributed information for which we suggest implementation of a user interface as an advanced front-end, e.g., for virtual globe system.

scholarly journals The Design and Testing of 3DmoveR: an Experimental Tool for Usability Studies of Interactive 3D Maps

2018 ◽  
pp. 31-63 ◽  
Author(s):  
Lukáš Herman ◽  
Tomáš Řezník ◽  
Zdeněk Stachoň ◽  
Jan Russnák
Keyword(s):  
Spatial Data ◽  
Response Times ◽  
3D Visualization ◽  
User Interaction ◽  
Google Earth ◽  
Web Based ◽  
3D Environments ◽  
Camera Position ◽  
Interactive 3D ◽  
3D Scene

Various widely available applications such as Google Earth have made interactive 3D visualizations of spatial data popular. While several studies have focused on how users perform when interacting with these with 3D visualizations, it has not been common to record their virtual movements in 3D environments or interactions with 3D maps. We therefore created and tested a new web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). Its design incorporates findings from the latest 3D visualization research, and is built upon an iterative requirements analysis. It is implemented using open web technologies such as PHP, JavaScript, and the X3DOM library. The main goal of the tool is to record camera position and orientation during a user’s movement within a virtual 3D scene, together with other aspects of their interaction. After building the tool, we performed an experiment to demonstrate its capabilities. This experiment revealed differences between laypersons and experts (cartographers) when working with interactive 3D maps. For example, experts achieved higher numbers of correct answers in some tasks, had shorter response times, followed shorter virtual trajectories, and moved through the environment more smoothly. Interaction-based clustering as well as other ways of visualizing and qualitatively analyzing user interaction were explored.

Research on the Application of 3D Modeling and Visualization Method in Construction Mine Model

2014 ◽  
Vol 926-930 ◽  
pp. 3208-3211
Author(s):  
Sheng Miao Li ◽  
Ke Yan Xiao ◽  
Xiao Ya Luo ◽  
Chun Hua Wen ◽  
Xi Gan
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
3D Model ◽  
Research Study ◽  
Drill Hole ◽  
Geological Body ◽  
Modeling Data ◽  
Spatial Data Model ◽  
Hole Axis ◽  
Modeling Algorithm

The spatial data of mine is analyzed and processed in this study. This research mainly include: calculate 3d coordinate of points of drill hole axis, calculate 3d coordinates of drill hole axis and stratum surface, insert virtual drill hole and calculate it's ostiole 3d coordinate, divide and number stratum of study area. Finally, this research design drill hole database and realize storage and management of mine geological data. This study also researched the classification and characteristics of 3d spatial data model. Based on distribution characteristics of mine data and application purpose of 3d model, this paper choose quasi tri-prism as basic volume to build 3d geological model. The improvement of data structure and modeling algorithm of quasi tri-prism make it can better adapt to the complex geological body modeling. This research study the expansion rule of triangle, modeling algorithm of quasi tri-prism and finally design geologic body database and realize storage and management of geological modeling data.

Accumulation Conditions and Gas Content Characteristics of the Lower Silurian in Northwestern Hunan, China

2013 ◽  
Vol 868 ◽  
pp. 192-195
Author(s):  
Tuo Lin ◽  
Jin Chuan Zhang ◽  
Bo Li ◽  
Wei He ◽  
Xuan Tang
Keyword(s):  
Black Shale ◽  
Sedimentary Environment ◽  
Sedimentary Facies ◽  
Black Shales ◽  
Gas Content ◽  
Burial Depth ◽  
Reservoir Properties ◽  
Isothermal Adsorption ◽  
Lower Silurian ◽  
Deposition Conditions

The Lower Silurian marine shale is widely distributed in Northwestern Hunan and features in a large thickness of dark shale showed at outcrops. However, the accumulation conditions and gas content is unknown. The sedimentary facies, thickness and distribution, organic matter types and content, maturity, reservoir properties and gas content of the Lower Silurian black shale in Northwestern Hunan were investigated by field observation, sampling and experimental analysis. The results show that the black shales sedimentary environment is deep water continental shelf, with featured in abundant fossil. The burial depth of the Lower Silurian black shale is 0-3000 m, and its thickness is 10-40m while the average TOC is 1.0% and average Ro is 2.9%. For the disadvantaged sedimentary facies and shallow depth, the maximum gas content of the Lower Silurian black shale from well site desorption test is 0.59m3/t only, but the result of isothermal adsorption simulate test show that the Lower Silurian black shale have a good adsorption capacity, and can generate a large number of shale gas in Northwestern Hunan where better deposition conditions and suitable depth exist in.

3D Visualization for Hydrocarbon Project Design

2008 ◽  
Author(s):  
Scott Neurauter ◽  
Sabrina Szeto ◽  
Matt Tindall ◽  
Yan Wong ◽  
Chris Wright
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Dimensional Space ◽  
Three Dimensional ◽  
3D Models ◽  
3D Analysis ◽  
Cost Efficient ◽  
Ground Truthing ◽  
Elevation Model ◽  
Visualization Techniques

3D visualization is the process of displaying spatial data to simulate and model a real three dimensional space. Using 3D visualization, Geomatic professionals are enabling pipeline engineers to make better decisions by providing an increased understanding of potential costs earlier in the design process. This paper will focus on the value of visualizing Digital Elevation Model (DEM) data through the use of hillshades and imagery-draped 3D models. From free online DEM data to high resolution Light Detection and Ranging (LiDAR) derived DEM data, the increased availability allows for a broader use of 3D visualization techniques beyond 3D analysis. Of the numerous sources available, two DEM sources will be discussed in this paper, the free low resolution DEM (CDED Level 1) and the more costly but higher resolution LiDAR based DEM. Traditional methods of evaluating potential locations for route and facilities involved a significant cost for ground truthing. Through the use of 3D visualization products, multiple potential locations can be examined for suitability without the expense of field visits for every candidate site. By focusing on the selected candidate locations using a visual desktop study, the time and expense of ground truthing all of the potential sites can be reduced significantly. Exploiting the visual value of DEM permits a productive and cost efficient methodology for initial route and facility placement on hydrocarbon projects.

The Sedimentary Environment of Current Estuary and Abandoned Estuary at the Modern Yellow River Delta

2011 ◽  
Vol 356-360 ◽  
pp. 914-919
Author(s):  
Xiao Ying Chen ◽  
Dai Hai Liu ◽  
Jing Lu
Keyword(s):  
Yellow River ◽  
Sedimentary Environment ◽  
Sedimentary Facies ◽  
Yellow River Delta ◽  
River Delta ◽  
Cumulative Distribution ◽  
Hydrodynamic Condition ◽  
The Yellow River ◽  
Sediment Grain Size ◽  
The Yellow River Delta

Based upon statistics of sediment parameters and sediment moving modes from probability cumulative distribution curves, and combined with topography and hydrodynamics, the sedimentary environment at the intertidal flats of Qing 8 estuary (1996-now) and Diaokou estuary (1964-1976) at the Yellow River Delta was discussed in depth in present study. The results demonstrated that sediment grain size parameters can clearly reveal hydrodynamic condition of the sedimentary environment. Core C1 at current estuary was divided into four layers. The corresponding hydrodynamic conditions from top to bottom varied from strong to fluctuating between strong and weak, and finally to weak. Meanwhile, Core A1 at abandoned estuary can be divided into three layers and corresponding hydrodynamics from top to bottom changed from fairly strong to rather strong. Furthermore, the sedimentary facies of two cores were identified and they depended on water and sediment discharge from the Yellow River.

scholarly journals Monitoring Forests in Space and Time Using Close-Range Sensing

2020 ◽  
Author(s):  
Mikko Vastaranta ◽  
Ninni Saarinen ◽  
Tuomas Yrttimaa ◽  
Ville Kankare ◽  
Samuli Junttila
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Laser Scanning ◽  
Structural Changes ◽  
Method Development ◽  
Forest Growth ◽  
Forest Monitoring ◽  
Time Dimension ◽  
Range Sensing ◽  
Aerial Vehicles ◽  
Close Range

In this review, we summarize the current state-of-the-art in the utilization of close-range sensing in forest monitoring. We include technologies, such as terrestrial and mobile laser scanning as well as unmanned aerial vehicles, which are mainly used for collecting detailed information from single trees, forest patches or small forested landscapes. Based on the current published scientific literature, the capacity to characterize changes in forest ecosystems using close-range sensing has clearly been recognized. Forest growth has been the most investigated cause for changes and terrestrial laser scanner the most applied sensor for capturing forest structural changes. Unmanned aerial vehicles, on the other hand, have been used to acquire aerial imagery for detecting tree height growth and monitoring forest health. Mobile laser scanning has not yet been used in forest change monitoring except for a few early investigations. Considering the length of the forest growth process, investigated time spans have been rather short, less than 10 years. In addition, data from only two time points have been used in many of the studies, which has further been limiting the capability of understanding dynamics related to forest growth. In general, method development and quantification of changes have been the main interests so far regardless of the driver of change. This shows that the close-range remote sensing community has just started to explore the time dimension and its possibilities for forest characterization.

scholarly journals Organic Geochemical Characteristics of Mudstone and Marl from Western Hoh Xil Basin of Tibet

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Wentian Mi ◽  
Xueyuan Qi ◽  
Yan Shang ◽  
Xu Kong ◽  
Zifu Hu
Keyword(s):  
Organic Matter ◽  
Higher Plants ◽  
Organic Geochemistry ◽  
Sedimentary Environment ◽  
Sedimentary Facies ◽  
Alluvial Fan ◽  
Maturity Stage ◽  
Type I ◽  
High Productivity ◽  
Sedimentary Characteristics

The mudstone and marl from western Hoh Xil basin, located in Tibet of the west of China, were deposited in Tertiary lacustrine environment. Investigation of organic geochemistry, sedimentary characteristics, and 13C in kerogen was conducted to analyze the sedimentary environment, biomarkers, paleoclimate, and source of organic matter during deposition. The Cenozoic sedimentary facies of the basin included upper lacustrine facies and lower alluvial fan facies, which belong to Miocene Wudaoliang Formation and Oligocene Yaxicuo Group, respectively. The Miocene marl-sandstone-mudstone from Wudaoliang Formation was analyzed. Maceral composition was dominated by amorphous organic matter. T max values indicated that the mudstones were thermally immature-low maturity with mainly type II and III organic matter, while organic matter in marlite belongs mainly to type I-II1 with low maturity-maturity stage. The biomarkers showed the characteristics of odd-over-even predominance of long-chain n-alkanes, higher proportion of C27 sterane in most of the samples, heavy δ13Corg composition, low Pr/Ph ratios (0.11-0.36), and so on. Organic geochemistry indicated that the organic matter originated from bacteria, algae, and higher plants. The rocks were formed in reducing environments with stratified water column and high productivity. The paleoclimate became more humid during depositional stage in the western Hoh Xil basin.

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