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Journal articles on the topic 'Geological database'

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Published: 10 March 2023

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1

YOKOTA, Shuichiro, and Shinji MASUMOTO. "Geological Database." Journal of the Japan Society of Engineering Geology 38, no. 3 (1997): 153–58. http://dx.doi.org/10.5110/jjseg.38.153.

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2

Giles, J. R. A., D. J. Lowe, and K. A. Bain. "Geological dictionaries—Critical elements of every geological database." Computers & Geosciences 23, no. 6 (July 1997): 621–26. http://dx.doi.org/10.1016/s0098-3004(97)00044-7.

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3

LUMSDEN, G. I., and R. T. HAWORTH. "The British Geological Survey Database." Journal of the Geological Society 143, no. 3 (May 1986): 379–80. http://dx.doi.org/10.1144/gsjgs.143.3.0379.

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4

DENG, Yiying, Dongyang CHEN, Junxuan FAN, Yukun SHI, Xudong HOU, Jiao YANG, and Wenxiang XU. "Geological Panorama Database: Digitizing and Visualizing the Geological Outcrops." Acta Geologica Sinica - English Edition 93, S3 (May 2019): 11–13. http://dx.doi.org/10.1111/1755-6724.14229.

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5

Klint, Knud E. S., Frants Von Platen-Hallermund, and Mette Christophersen. "Construction of 3D geological models in glacial deposits to characterise migration of pollution." GEUS Bulletin 10 (November 29, 2006): 21–24. http://dx.doi.org/10.34194/geusb.v10.4883.

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The National geological database at the Geological Survey of Denmark and Greenland (GEUS) is based on an extensive well database Jupiter, a geophysical database Gerda (Tulstrup 2003) and a recently established database for various types of geological models. These databases are integrated in a GIS system. The integration of this data enables new possibilities of constructing improved geological models. GIS systems offer a powerful tool for the geologist not only in combining multiple data, but also in visualising the model and hence presenting the final product in a simple and understandable way. 3D geological models will become increasingly important for the execution of improved cost-benefit analysis and risk assessment of contaminated sites, as well as strategic evaluation of groundwater and raw material resources in general. The possibility of storing such models on a public platform will be a major advance for future users of geological databases. The primary goal of this paper is to demonstrate the potential of an integrated GIS system, with an example of how traditional geological information may be combined in new ways in order to improve the correlation of well data in multiple directions. The application is demonstrated for a highly contaminated industrial site in the town of Ringe, Denmark (Fig. 1).
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6

Thorning, L., and T. Tukiainen. "Landsat image database for Greenland." Rapport Grønlands Geologiske Undersøgelse 165 (January 1, 1995): 76–78. http://dx.doi.org/10.34194/rapggu.v165.8283.

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As a consequence of the GIRS project (Geological In­formation from Remote Sensing; Tukiainen & Thorning, this report) a database of Landsa1 images for Greenland suited for geological interpretation has been established at the Geological Survey of Greenland (GGU) with the help of funds from the Mineral Resources Administration for Greenland. This note briefly introduces the new GGU facility. This database has been established in order to make satellite images more readily available for all potential users of Landsat data in Greenland at standard conditions and price.
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7

ZHU, Wei, Yang WANG, Jia CHEN, and Rongbin CHEN. "Based on Surpac Geological Database Research." Acta Geologica Sinica - English Edition 88, s2 (December 2014): 491–92. http://dx.doi.org/10.1111/1755-6724.12373_36.

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8

McNeely, Roger. "Geological Survey of Canada Soil Database." Radiocarbon 38, no. 2 (1996): 271–75. http://dx.doi.org/10.1017/s0033822200017641.

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The Geological Survey of Canada (GSC) has developed, over the past decade, a user-oriented database, Date Locator File, of Canadian samples dated by the 14C technique. This database presently contains >3500 soil and soil-related dates. The primary category in this suite of dates is peat, as a large portion of the Canadian landscape is covered with this type of organic soil. The data is available gratis to all researchers in a large variety of formats from simple lists to complex tables for inclusion in publications. The site localities can also be plotted on base maps suitable for publication. The database is actively augmented on an ongoing basis, but to continue to be relevant, it depends largely on the altruism of the scientific community.
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ITO, Toshihide, Makoto OMURA, Takashi NISHIYAMA, Seiya MAEKAWA, and Mitsuyoshi SAITO. "The Atago Mine Management Using Geological Database. Possibilities of Geological Database and Conditions for Mining Simulation." Journal of the Japan Society of Engineering Geology 42, no. 6 (2002): 335–41. http://dx.doi.org/10.5110/jjseg.42.335.

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10

LEI, Xinglin, and Isao HASEGAWA. "Development and Publication of Geological Database at Geological Survey of Japan." Geoinformatics 11, no. 3 (2000): 167–77. http://dx.doi.org/10.6010/geoinformatics1990.11.3_167.

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11

SILVA, ARDEMIRO DE BARROS, WASHINGTON DE JESUS SANT'ANNA DA FRANCA-ROCHA, and AURÉLIO AZEVEDO BARRETO NETO. "MANAGING ERRORS IN A GEOLOGICAL DIGITAL DATABASE." Revista Brasileira de Geociências 30, no. 3 (September 1, 2000): 572–75. http://dx.doi.org/10.25249/0375-7536.2000303572575.

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12

Battaglini, Loredana, and Roberta Carta. "CARG Geological Database: new layers, new data." Abstracts of the ICA 3 (December 13, 2021): 1. http://dx.doi.org/10.5194/ica-abs-3-24-2021.

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13

KASAI, Hideo. "A Design of Personal Geological Outcrop Database." Geoinformatics 11, no. 4 (2000): 235–40. http://dx.doi.org/10.6010/geoinformatics1990.11.4_235.

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14

YOKOTA, Shuichiro. "Difficulties in Construction of Geological Exposures Database." Geoinformatics 7, no. 4 (1996): 297–301. http://dx.doi.org/10.6010/geoinformatics1990.7.4_297.

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15

Mantovani, Alizia, Fabrizio Piana, and Vincenzo Lombardo. "Ontology-driven compilation of geological map database." Rendiconti Online della Società Geologica Italiana 52 (November 2020): 62–68. http://dx.doi.org/10.3301/rol.2020.20.

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16

Ding, Hua, Li Shuang Sun, Jing Li Wang, and Xin Wang. "Design and Realization of 3S Technology-Based Geological Disaster Database System in Liaoning Province." Applied Mechanics and Materials 580-583 (July 2014): 2708–12. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.2708.

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This paper absorbs much successful experience from geological disasters database system designed and built at home and abroad, based on remote sensing (RS), geographic information systems (GIS) and GPS technology, adopt AHP, fuzzy comprehensive evaluation model and method of establishing three-dimensional model of geological disasters in high-risk areas, the paper constructs geological disasters database system in Liaoning Province, this database system can manage and monitor geological disasters and provide strong support analysing geological disasters for Liaoning province areas.
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17

Li, Sheng Miao, Ke Yan Xiao, Xiao Ya Luo, Chun Hua Wen, and Xi Gan. "Research on the Application of 3D Modeling and Visualization Method in Construction Mine Model." Advanced Materials Research 926-930 (May 2014): 3208–11. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3208.

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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.
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18

He, Yutong, Di Tian, Hongxia Wang, Li Yao, Miao Yu, and Pengfei Chen. "A universal and multi-dimensional model for analytical data on geological samples." Geoscientific Instrumentation, Methods and Data Systems 8, no. 2 (October 30, 2019): 277–84. http://dx.doi.org/10.5194/gi-8-277-2019.

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Abstract. To promote the sharing and reutilization of geoanalytical data, various geoanalytical databases have been established over the last 30 years. Data models, which form the core of a database, are themselves the subjects of intensive studies. Data models determine the contents stored in the databases and applications of the databases. However, most geoanalytical data models have been designed for specific geological applications, which has led to strong heterogeneity between databases. It is therefore difficult for researchers to communicate and integrate geoanalytical data between databases. In particular, every time a new database is constructed, the time-consuming process of redesigning a data model significantly increases the development cycle. This study introduces a new data model that is universally applicable and highly efficient. The data model is applied to various geoanalytical methods and corresponding applications, and comprehensive analytical data contents together with associated background metadata are summarized and catalogued. Universal data attributes are then designed based on these metadata, which means that the model can be used for any geoanalytical database. Additionally, a multi-dimensional data mode is adopted, providing geological researchers with the ability to analyze geoanalytical data from six or more dimensions with high efficiency. Part of the model is implemented with the typical database system (MySQL) and comprehensive comparison experiments with existing geoanalytical data model are presented. The result unambiguously proves that the data model developed in this paper exceeds existing models in efficiency.
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19

Chew, K. J. "Data modelling a general-purpose petroleum geological database." Geological Society, London, Special Publications 97, no. 1 (1995): 13–23. http://dx.doi.org/10.1144/gsl.sp.1995.097.01.03.

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20

Melching, Charles S., and Hala E. Flores. "Reaeration Equations Derived from U.S. Geological Survey Database." Journal of Environmental Engineering 125, no. 5 (May 1999): 407–14. http://dx.doi.org/10.1061/(asce)0733-9372(1999)125:5(407).

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21

Gualtieri, Carlo, Paola Gualtieri, Guelfo Pulci Doria, and Charles S. Melching. "Reaeration Equations Derived from U.S. Geological Survey Database." Journal of Environmental Engineering 126, no. 12 (December 2000): 1159–60. http://dx.doi.org/10.1061/(asce)0733-9372(2000)126:12(1159).

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22

Huang, Dong, Y. L. Chen, and Jianping Qiao. "Research on Geological Survey Data Management and Automatic Mapping Technology." Scientific Programming 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/3618139.

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The data management of a large geological survey is not an easy task. To efficiently store and manage the huge datasets, a database of geological information on the basis of Microsoft Access has been created. By using the database of geological information, we can make easily and scientifically store and manage the large geological information. The geological maps—borehole diagrams, the rose diagrams for the joint trends, and joint isointensity diagrams—are traditionally drawn by hand, which is not efficient way; next, it is not easily possible to modify. Therefore, to solve those problems, the automatic mapping method and associated interfaces have been developed by using VS2010 and geological information database; these developments are presented in this article. This article describes the theoretical basis of the new method in detail and provides a case study of practical engineering to demonstrate its application.
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23

Xu, Hong-He, Zhi-Bin Niu, and Yan-Sen Chen. "A status report on a section-based stratigraphic and palaeontological database – the Geobiodiversity Database." Earth System Science Data 12, no. 4 (December 15, 2020): 3443–52. http://dx.doi.org/10.5194/essd-12-3443-2020.

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Abstract. Big data are significant for quantitative analysis and contribute to data-driven scientific research and discoveries. Here a brief introduction is given to the Geobiodiversity Database (GBDB), a comprehensive stratigraphic and palaeontological database, and its data. The GBDB includes abundant geological records from China and has supported a series of scientific studies on the Paleozoic palaeogeography and tectonic and biodiversity evolution of China. The data that the GBDB has including those that are newly collected are described in detail; the statistical results and structure of the data are given. A comparison between the GBDB; the largest palaeobiological database, the Paleobiology Database (PBDB); and the geological rock database Macrostrat is drawn. The GBDB and other databases are complementary in palaeontological and stratigraphic research. The GBDB will continually provide users access to detailed palaeontological and stratigraphic data based on publications. Non-structured data of palaeontology and stratigraphy will also be included in the GBDB, and they will be organically correlated with the existing data of the GBDB, making the GBDB more widely used for both researchers and anyone who is interested in fossils and strata. The GBDB fossil and stratum dataset (Xu, 2020) is freely downloadable from https://doi.org/10.5281/zenodo.4245604.
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24

Düsterhus, André, Alessio Rovere, Anders E. Carlson, Benjamin P. Horton, Volker Klemann, Lev Tarasov, Natasha L. M. Barlow, et al. "Palaeo-sea-level and palaeo-ice-sheet databases: problems, strategies, and perspectives." Climate of the Past 12, no. 4 (April 11, 2016): 911–21. http://dx.doi.org/10.5194/cp-12-911-2016.

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Abstract. Sea-level and ice-sheet databases have driven numerous advances in understanding the Earth system. We describe the challenges and offer best strategies that can be adopted to build self-consistent and standardised databases of geological and geochemical information used to archive palaeo-sea-levels and palaeo-ice-sheets. There are three phases in the development of a database: (i) measurement, (ii) interpretation, and (iii) database creation. Measurement should include the objective description of the position and age of a sample, description of associated geological features, and quantification of uncertainties. Interpretation of the sample may have a subjective component, but it should always include uncertainties and alternative or contrasting interpretations, with any exclusion of existing interpretations requiring a full justification. During the creation of a database, an approach based on accessibility, transparency, trust, availability, continuity, completeness, and communication of content (ATTAC3) must be adopted. It is essential to consider the community that creates and benefits from a database. We conclude that funding agencies should not only consider the creation of original data in specific research-question-oriented projects, but also include the possibility of using part of the funding for IT-related and database creation tasks, which are essential to guarantee accessibility and maintenance of the collected data.
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Niu, Yan, Jun Zhao, Zhiyuan Li, Wenjun Xu, Dong Liu, and Meng Zhao. "Optimization of Geological and Mineral Exploration by Integrating Remote Sensing Technology and Borehole Database." Wireless Communications and Mobile Computing 2022 (August 23, 2022): 1–11. http://dx.doi.org/10.1155/2022/9717749.

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Mineral exploration as the basis for the development of important mineral resources and economic construction, improving the efficiency of geological exploration is conducive to improving the quality of mineral resources. In this paper, the study of modern mineral resources exploration and utilization methods, drawing on the problems in geological exploration work, discusses effective countermeasures to improve and optimize the level of geological exploration from the perspectives of remote sensing technology and borehole database, etc., with a view to improving the efficiency of geological exploration and mineral search technology, so that energy production can achieve sustainable development and be free from the constraints of increasingly difficult mineral resources development. Based on remote sensing technology, GIS is a system derived on the basis of advanced science and technology and information technology, and its application to geological and mineral exploration can help relevant personnel to have foresight to understand the development of geological exploration and provide detailed data support for optimizing geological exploration work. Coalfield geological exploration arranges a large number of boreholes to find out the thickness of coal seams in the exploration area, the distribution pattern of coal seams and the spacing of coal seams, the characteristics of the top and bottom of coal seams, and the characteristics of coal quality. In the coal mining excavation, the technical personnel need to study the geological data of the borehole in time to design or adjust the excavation plan scientifically and reasonably. By implanting an electronic chip in the drill hole markers completed by drilling, the borehole coordinates, elevation, preservation of the borehole markers, and the website address of the borehole database management system are sent to the users in real time, providing geologists with convenient query services of borehole geological information. This paper proposes a geological and mineral exploration optimization method that integrates remote sensing technology and borehole database, and the relevant experiments prove the effectiveness of the proposed method.
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26

Lv, Peng. "Development of a Foreign Geological Literature Integration Service System." Applied Mechanics and Materials 696 (November 2014): 177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.696.177.

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Mineral resources development overseas needs foreign geological literature, this paper carried out a research on the construction of a foreign geological literature integration service system, and discuss the system framework, functional analysis, system implementation in detail. The target of foreign geological literature integration service system is to establish a database and carry out information services through the collection and collation of foreign geological literature information and foreign hot topic in the field of geology and mineral information. The system utilizes database technology, geographic information systems technology, data mining techniques and other network information technology, to achieve the integration of resources, professional services and management of geological library.
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27

Hou, Guo Wei, Xue Li, Jin Laing Zhang, and Long Long Liu. "Integrated Physical Property Modeling with 3D Visual Technique – A Case Study in Lishui Depression, East China Sea Basin." Applied Mechanics and Materials 421 (September 2013): 834–37. http://dx.doi.org/10.4028/www.scientific.net/amm.421.834.

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3D geological modeling and visualization are the key technique issues to implement the plan of Digital Earth". However, 3D physical property model varies depending on the technology of 3D geological modeling which will bring about great changes in the reflection of reservoir property. In this paper, Some super voxel models, mathematical models of fault and geometrical models of fold have been contrived so as to show the space geometric configuration of the complicated geologic structures. And the architecture for integrated physical property modeling is established; Based on the physical property model, the spatial distribution and plane spread of reservor property is displayed detailedly with Sequential Gaussian simulation. By integrating geological database, sedimentary facies maps with those property models, geologists will be able to capture the partial characteristics and whole structure embodied in the geological data in a direct-viewing, figurative and accurate manner.
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28

Kotsanis, D., P. Panagiotopoulos, D. Rozos, and C. Loupasakis. "Engineering geological mapping of the Pallini urban area." Bulletin of the Geological Society of Greece 47, no. 4 (September 5, 2013): 1715. http://dx.doi.org/10.12681/bgsg.11036.

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Engineering geological thematic maps can provide substantial information for the development of cities, the land planning of future infrastructures and even more for the planning of the natural hazards prevention and/or mitigation. To this direction the engineering geological map of the Municipality of Pallini, at the Eastern Attica prefecture, at a scale of 1:20.000, was compiled. For that purpose, the following workflow was adopted: Firstly, a desk study helped in selecting the relevant topographic and geologic maps, which were digitized and introduced in a GIS environment. Secondly, the data coming from detailed geological mapping were elaborated to the same GIS environment. Thirdly, geotechnical data collected from borehole logs, such as lithostromatographic sequence, in situ tests and laboratory tests were introduced in geotechnical database. The statistical evaluation of this data provided estimates for numerous geotechnical parameters. Finally, the engineering geological map was compiled by merging the geological formations into lithologic units according to their origin, age, natural condition, and geotechnical characteristics.
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29

Müller, Johannes, Antonio Galgaro, Giorgia Dalla Santa, Matteo Cultrera, Constantine Karytsas, Dimitrios Mendrinos, Sebastian Pera, et al. "Generalized Pan-European Geological Database for Shallow Geothermal Installations." Geosciences 8, no. 1 (January 22, 2018): 32. http://dx.doi.org/10.3390/geosciences8010032.

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30

Tamanyu, Shiro, and Tatsuya Sato. "Combination of geological and geophysical data by database system." BULLETIN OF THE GEOLOGICAL SURVEY OF JAPAN 55, no. 11-12 (2004): 399–408. http://dx.doi.org/10.9795/bullgsj.55.399.

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31

Rosenbaum, M. S., and C. D. Warren. "Creating a geological database for planning tunnels under London." Quarterly Journal of Engineering Geology and Hydrogeology 19, no. 4 (November 1986): 413–23. http://dx.doi.org/10.1144/gsl.qjeg.1986.019.04.07.

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32

WANG, Ping, and Shaofeng LIU. "Geological Database for Plate Tectonic Reconstruction: A Conceptual Model." Acta Geologica Sinica - English Edition 93, S3 (May 2019): 66–69. http://dx.doi.org/10.1111/1755-6724.14248.

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33

Guénan, Thomas Le, Jean-Charles Manceau, Olivier Bouc, Jérémy Rohmer, and Alexandra Ledoux. "GERICO: A database for CO2 geological storage risk management." Energy Procedia 4 (2011): 4124–31. http://dx.doi.org/10.1016/j.egypro.2011.02.356.

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34

KASAI, Hideo. "A Design of personal Geological Exposures (Field note) Database." Geoinformatics 11, no. 2 (2000): 80–83. http://dx.doi.org/10.6010/geoinformatics1990.11.2_80.

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35

KOIKE, Katsuaki. "Utilization Techniques of Database for Geological Data Processing (2)." Geoinformatics 3, no. 3 (1992): 149–57. http://dx.doi.org/10.6010/geoinformatics1990.3.3_149.

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36

KOIKE, Katsuaki. "Utilization Techniques of Database for Geological Data Processing (3)." Geoinformatics 3, no. 4 (1992): 235–38. http://dx.doi.org/10.6010/geoinformatics1990.3.4_235.

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37

Laurie, John R., Daniel Mantle, Robert S. Nicoll, and James Ogg. "Customising the geological timescale for use in Australasia." APPEA Journal 49, no. 1 (2009): 301. http://dx.doi.org/10.1071/aj08019.

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The global standard geological timescale (GTS 2004) is largely built around northern hemisphere datasets. Consequently, a large proportion of the biozones used in Australia were not included, thus hampering its implementation in the region. Previously, most of the Australasian biozonal schemes had been tied to the Australian Geological Survey Organisation timescale (AGSO 1996) but each of these needed to be recalibrated to tie with the updated and globally standardised GTS 2004. This process was complicated by the fact that several of the local biozonal schemes have been revised in the intervening period. The updates of Australian biozones to GTS 2004 compliance were accomplished using extensive literature searches as well as targetted reviews of some biozonal schemes. These recalibrated and amended schemes have now been included in Geoscience Australia’s Timescales Database, which acts as a core lookup table for numerous databases across the organisation. In 2010, GTS 2004 will be replaced by an updated standard timescale. To facilitate this transition and other future revisions, Geoscience Australia’s Timescales Database is being revised to store the relationships between biozones and the geological timescale in a format that will allow essentially automatic, rather than protracted manual, updates. A public visualisation software package, Time Scale Creator, is available on the web from the International Commission on Stratigraphy (ICS) to display user-selected intervals from an ICS database suite of over 20,000 biological, geomagnetic, sea-level, and other events with ages consistent with GTS 2004. Geoscience Australia (GA) has compiled a customised datapack for Time Scale Creator which includes most Australian biozonal schemes. In addition, Geoscience Australia is using the lithostratigraphic capabilities of this software package to generate basin biozonation and stratigraphy charts, which supersede those published nearly a decade ago.
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38

García-Mayordomo, Julián, Raquel Martín-Banda, Juan M. Insua-Arévalo, José A. Álvarez-Gómez, José J. Martínez-Díaz, and João Cabral. "Active fault databases: building a bridge between earthquake geologists and seismic hazard practitioners, the case of the QAFI v.3 database." Natural Hazards and Earth System Sciences 17, no. 8 (August 30, 2017): 1447–59. http://dx.doi.org/10.5194/nhess-17-1447-2017.

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Abstract. Active fault databases are a very powerful and useful tool in seismic hazard assessment, particularly when singular faults are considered seismogenic sources. Active fault databases are also a very relevant source of information for earth scientists, earthquake engineers and even teachers or journalists. Hence, active fault databases should be updated and thoroughly reviewed on a regular basis in order to keep a standard quality and uniformed criteria. Desirably, active fault databases should somehow indicate the quality of the geological data and, particularly, the reliability attributed to crucial fault-seismic parameters, such as maximum magnitude and recurrence interval. In this paper we explain how we tackled these issues during the process of updating and reviewing the Quaternary Active Fault Database of Iberia (QAFI) to its current version 3. We devote particular attention to describing the scheme devised for classifying the quality and representativeness of the geological evidence of Quaternary activity and the accuracy of the slip rate estimation in the database. Subsequently, we use this information as input for a straightforward rating of the level of reliability of maximum magnitude and recurrence interval fault seismic parameters. We conclude that QAFI v.3 is a much better database than version 2 either for proper use in seismic hazard applications or as an informative source for non-specialized users. However, we already envision new improvements for a future update.
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39

Lin, Xiaobo. "Method and Realization of Efficient Extraction of Basic Geological Data from Two-Dimensional Mine Drawings." Complexity 2021 (January 16, 2021): 1–12. http://dx.doi.org/10.1155/2021/6624142.

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In coal mining technology systems, it is very important to acquire, store, and represent basic geological data comprehensively and accurately. Based on the current working mode and information level in mining geology at coal mines, this paper proposes a process of building basic geological database for modeling of coal mines by using existing results’ data of mining geology and develops the efficient program for getting the basic geological data from the important 2D plane drawings’ achievement at mines, such as the contour maps of mine coal seam floors, geological cross-sections, underground drilling results, and geological survey results, based on AutoLISP, which is a programming language for the secondary development of AutoCAD. The obtained data in general text format is stored and managed by the MongoDB database, which realizes the storage, query, analysis, and correction of massive data of geological objects in the space of the underground coalmine. The application results show that compared with the previous data acquisition methods such as manual input and graphic transformation attribute, the extraction of spatial and attribute data from the existing mine 2D plane drawings by programming can effectively avoid the prominent problems such as artificial gross error, distortion of graph conversion, and different database structure, make the obtained spatial geological data more comprehensive, accurate, and effective, and, meanwhile, increase the rate by more than 60%, which plays an important role in data support for the construction of the geological modeling systems for transparent mines.
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40

Luo, Zheng Shan, and Ya Ting Wei. "Research on Rough Set Applied in the Geological Measure Data Prediction Model." Advanced Materials Research 457-458 (January 2012): 792–98. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.792.

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Mine geological factors involved in measuring systems are very complex, large amount of data and attribute more. In actual measurement, due to the precision of measuring instruments and measurement operations personnel and other reasons, the data is inevitably flawed, and then has the subsequent impact of the design, production and management. With intelligent technology and development of computer science, mine has an increasingly high demand of geologic measure data and there are more and more methods to deal with the data. In this paper, rough set theory is applied by analyzing the characteristics of geological measure data and the structure of the database, the corresponding model is established, the uncertainty is found from the database of knowledge and abnormal data, and geological measure dataand the noise in the process of knowledge discovery interference is eliminated. As rough set method is easy to execute in parallel, without any prior knowledge of data and automatically select the appropriate set of attributes, can greatly improve the efficiency of knowledge discovery, get rid of excess property, reduce error rates, then has more advantages in processing the mass of the geological measure data and mining a more realistic data than fuzzy sets and neural network method. In addition, it is easier to be proven and tested in the resulting decision rules and reasoning processes than the latter neural network method are, and the results obtained is more easily evaluated and interpreted. Thus, using rough sets to mine the geologic measure data and find the knowledge hidden in the data, and then make the forecast analysis and decision-support for mine production and management, which is more practical.
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41

Walker, J. Douglas, Basil Tikoff, Julie Newman, Ryan Clark, Jason Ash, Jessica Good, Emily G. Bunse, et al. "StraboSpot data system for structural geology." Geosphere 15, no. 2 (March 5, 2019): 533–47. http://dx.doi.org/10.1130/ges02039.1.

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Abstract StraboSpot is a geologic data system that allows researchers to digitally collect, store, and share both field and laboratory data. StraboSpot is based on how geologists actually work to collect field data; although initially developed for the structural geology research community, the approach is easily extensible to other disciplines. The data system uses two main concepts to organize data: spots and tags. A spot is any observation that characterizes a specific area, a concept applicable at any spatial scale from regional to microscopic. Spots are related in a purely spatial manner, and consequently, one spot can enclose multiple other spots that themselves contain other spots. In contrast, tags provide conceptual grouping of spots, allowing linkages between spots that are independent of their spatial position. The StraboSpot data system uses a graph database, rather than a relational database approach, to increase flexibility and to track geologically complex relationships. StraboSpot operates on two different platform types: (1) a field-based application that runs on iOS and Android mobile devices, which can function in either Internet-connected or disconnected environments; and (2) a web application that runs only in Internet-connected settings. We are presently engaged in incorporating microstructural data into StraboSpot, as well as expanding to include additional field-based (sedimentology, petrology) and lab-based (experimental rock deformation) data. The StraboSpot database will be linked to other existing and future databases in order to provide integration with other digital efforts in the geological sciences and allow researchers to do types of science that were not possible without easy access to digital data.
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42

Kanukov, A. S., and P. G. Ivanov. "Geological information database integration into a geographic information modeling system." IOP Conference Series: Materials Science and Engineering 1083, no. 1 (February 1, 2021): 012085. http://dx.doi.org/10.1088/1757-899x/1083/1/012085.

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43

Shepetun, I., and O. Pidzyrailo. "ABOUT OF СREATION STATE DATABASE OF GEOLOGICAL AND GEOPHYSICAL INFORMATION." Problems and prospects of oil and gas industry, no. 2 (December 6, 2018): 128–42. http://dx.doi.org/10.32822/naftogazscience.2018.02.128.

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44

OKIMURA, Takashi, Tadanobu SATO, Mitsuhiro NAMBU, Ryo WAKABAYASHI, and Hideaki KISHIMOTO. "Seismic Frequency Analysis with Geological Information Database in Kobe District." Doboku Gakkai Ronbunshu, no. 701 (2002): 121–34. http://dx.doi.org/10.2208/jscej.2002.701_121.

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45

Rasmussen, Ken. "An overview of database analysis and design for geological systems." Geological Society, London, Special Publications 97, no. 1 (1995): 5–11. http://dx.doi.org/10.1144/gsl.sp.1995.097.01.02.

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46

Pak, Song-Hyon, Giwon Koh, Junbeom Park, Dukchul Moon, and Woo Seok Yoon. "Study of Geological Log Database for Public Wells, Jeju Island." Economic and Environmental Geology 48, no. 6 (December 28, 2015): 509–23. http://dx.doi.org/10.9719/eeg.2015.48.6.509.

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47

Hwang, Hak Soo, Se-Yeong Hamm, Cheol Woo Lee, Jin Soo Kim, and Woo-Ri Lim. "Development of geological information database and smart-sounding-object algorithm." Journal of the Geological Society of Korea 54, no. 4 (August 30, 2018): 457–75. http://dx.doi.org/10.14770/jgsk.2018.54.4.457.

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48

Lemenkova, Polina. "Seismicity in the Afar Depression and Great Rift Valley, Ethiopia." Environmental Research, Engineering and Management 78, no. 1 (April 1, 2022): 83–96. http://dx.doi.org/10.5755/j01.erem.78.1.29963.

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Integrated mapping is essential in geological studies to assess risks of earthquake hazards. Cartographic techniques have become a commonplace approach to visualizing data in the continuous geologic and geophysical fields. However, traditional GIS mapping is a manual process with a time-consuming workflow that can lead to mistakes and misinterpretation of data. This study applied two mapping approaches to address this problem: Generic Mapping Tools (GMT) used for automated cartographic workflow employing scripts and QGIS used for traditional geologic mapping. The study area includes Ethiopia, notable for its complex geologic setting. The study aimed to analyse the relationships between the geophysical, geological, topographic and seismic setting of the country by presenting six new thematic maps:1 topography based on the GEBCO/SRTM15+ high-resolution grid;2 geological units with consistent lithology and age from the USGS database;3 geological provinces with major Amhara Plateau and Somali Province using USGS data;4 geoid based on the Earth Gravitational Model 2008 (EGM-2008) grid;5 free-air gravity anomaly model using satellite-based remote sensing data;6 seismicity showing earthquakes and volcanos from 05/03/1990 to 27/11/2020.The comparison of the topography, seismicity, geophysics and surface geology of the Afar Depression and the Great Rift Valley was based partly on extant literature on the geologic setting of Ethiopia which primarily focuses upon discussing tectonic processes that took place in the East African Rift System in the past. The current study contributes to the previous research and increases cartographic data on the geology and geophysics of Ethiopia. The outcomes can be implemented in similar regional projects in Ethiopia for geophysical and geological monitoring.
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Miao, Fang, and Qi Yuan. "A WebGIS-Based Information System for Monitoring and Warning of Geological Disasters for Lanzhou City, China." Advances in Meteorology 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/769270.

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Monitoring and warning of geological disasters accurately and in a timely fashion would dramatically mitigate casualties and economic losses. This paper takes Lanzhou city as an example and designs a Web-based system, namely the information system for geological disaster monitoring and warning (ISGDMW). Presented are its framework, key developing technologies, database, and working flow. The information system adopts a Browser/Server (B/S) structure and has three-tier architecture, combining in-situ monitoring instruments, the wireless sensor network, WebGIS techniques and the grey system theory. The framework of the ISGDMW can be divided into three categories: (1) in-situ monitoring system, it aims to monitor geological disaster sites and get state information of geological disaster sites; (2) database, manage in-situ monitoring data, antecedent field investigating data and basic data; (3) analyzing and warning system, analyze in-situ monitoring data, understand the deformation trend of the potential geological disaster, and release disaster warning information to the public. The ISGDMW allow the processes of geological disaster monitoring, in-situ monitoring data analysis, geological disaster warning to be implemented in an efficient and quick way, and can provide scientific suggestions to commanders for quick response to the possibility of geological disaster.
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Deng, Ji Qiu, Zhong Hao Zuo, Li Yang, and Qian Hong Wu. "Design and Realization of Automatic Mapping System for Borehole Data." Applied Mechanics and Materials 88-89 (August 2011): 610–14. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.610.

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Drawing geologic maps (profile\plane\column map) are high-workload and low-accuracy task. Based on a series of research on previous study, system architecture, database and key algorithm, an auto-mapping system has been developed by interacting with MS SQL database, the framework of MAPGIS and visual programming tools. The actual-measured data in ZhiJiaDi district, Shanxi Province, China is chosen as a case study to demonstrate the validity and capability of the system. The test results compared with the manual-mapping one in GEMD method shows that the key algorithm are reliable, and this new system not only provide a user friendly interface, but also have the ability to satisfy requirement on the geologic maps with high accuracy, efficiency and conveniences.The geologic maps (profile\plane\column map) are the most basic forms of expression for the geological content, which play an important role in guidance of geological exploration, metallogenic prediction and decision-making [1]. In China, various maps are manually drawn in MAPGIS platform according to the paper map provided by the geologists, which results in large workload, complicated process and inaccuracy. It seriously affects the quality of work for computing of resources amount, metallogenic prediction and mine design, etc. Therefore, research on a new automatic mapping system which is convenient, efficient and accurate becomes the urgent need for domestic mineral system.
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