Dynamics of oil and gas industry development in the 20th century using the world’s largest deposits as an example: GIS project and web service (part II)
Odintsova A.A., Gvishiani A.D., Rybkina A.I., Samokhina O.O.,
Astapenkova A.A., Firsova E.Yu.
The article describes the results of developing a GIS project to prepare an information base for an analytical study of hydrocarbon production (HC) development methods in Russia and other countries of the world. The period from 1900 to 2000 is considered. The collected and processed information will allow to systematically analyze the methods and volumes of HC exploration and assess the pace of oil and gas industry development in different countries.
To achieve this goal, the authors have implemented a number of subprojects: data collection and processing; development and filling of the database (DB) with geospatial data on hydrocarbon deposits; creation of a web service with advanced functionality based on the Esri Geoportal Server software platform; conducting preliminary analytical classification (model example) of the examined deposits using geoinformatics methods.
GIS technology as a tool for territorial geoenvironmental management of urban areas.
Krutskikh. N.V., Skvortsova A.S.
Territorial geoenvironmental management is a system of assessment, control and management of geoecological and socio-economic indicators. The functioning of TGEM is based on geoinformation technologies. The concept of building territorial geoenvironmental management of the city is proposed in the work. Dissimilar information accumulates when management works. The structure and content of the GIS database developed. Examples of spatial and cartographic data are given for various GIS blocks.
Geoinformation analysis of geographic features of hard-to-recover oil location.
Yashchenko I.G., Polishchuk Y.M.
The results of the geoinformation analysis of features of oils location are presented using an index of oil quality, allowing to divide the hard-to-recover oils into three classes: oil of low, medium and high quality. Features of the geographical location of hard-to-recover oils of each of the oil quality classes were identified on base of an analysis of data on 22700 samples of oils with anomalous properties and 9600 samples of oils with complicated conditions of occurrence. The main software environment of the spatial analysis of data on oil is a Geographic Information System. As a result of geoinformation analysis created three cards-schemes of allocation of oil-gas-bearing basins of different quality classes on the globe. Analysis of the schematic map shows that hard-to-recover oils of high, medium and low quality are located, respectively, in 63, 102 and 129 oil-gas-bearing basins on all continents. The results of analysis can be used to solve practical problems of the oil industry.
Modern information technologies for natural science museum.
Cherkasov S.V., Naumova V.V., Chesalova E.I.
This work brings up a question of using of information technologies for the natural-science museums. Information technology can effectively solve many of the problems traditionally facing museums, including – the main mission of the museum is to store, study and exhibit the museum collection in its entirety. In the case of natural-science museums, information technologies become even more important than for other museums, since collections of a natural-science direction carry a colossal amount of information about natural objects. The article examines the experience of the State Geological Museum and suggests solutions using modern technologies – distributed databases, geoinformation systems, ontological knowledge bases.
A computer simulation for a calculation of fluids displacing in the pore networks model of geological geterogenous media.
Manutchariants E.O., Zyrianov V.B.
The influence on oil and water relative permeabilities is investigated in geological porous media. A simulation network model is used to compute the oil and water relative permeabilities and capillary pressure/ Heterogeneous porous medium is simulated by network as a composition of two pores space with different permeabilities and whose microstructure is determined by experimental histograms received on the samples A, B, C of Samotlor oil fields. The obtained results are compared with analogous curved in homogenous structures. A theoretical explanation is given for obtained results. This research can be used as petrophysical information for a construction effective models, used in solving problems of full wave 3D simulation of seismic field for perspective oil reservoirs.
Neural network modelling of cover thickness of contact surface by the complex of geophysical fields.
Nikitin A.A., Cheremisina E.N., Malinina C.C.
It’s considered neural network modelling from the point of the sum of convolution of potential and electromagnetic original fields with weight factors that are identified on areas where the position of contact surface is found based on results of seismology. Final result of neural net formed from plenty of solutions of forward problems is submitted by minimization of generalized distance.
The distribution of density heterogeneities in the crust and mantle of the south-eastern part of the Fennoscandian shield according to geological-geophysical data.
Pimanova N.N., Spiridonov V.A., Sharov N.V., Lubimova A.V., Senner A.E.
Joint analysis of the Moho depth maps constructed on DSS profile data and regional gravity field over the project area has allowed to allocate in regions with different type of correlation between the Moho surface topography and the gravity field. They generally correspond to the major tectonic structures of the study area: the AR Karelian Craton and Sveсоfennian Orogen.
The 2D modeling of the density section along the seismic profile Baltic showed that for compensation of the Moho topography gravitational effect it is necessary to assume density inhomogeneities both in the earth’s crust and in the mantle. The results of 3D density modeling for a two-layer model (earth crust–upper mantle) determine the position of large blocks inside the layers with different density characteristics.
Geospatial analysis of ecology-economic grows of Kerch Peninsula using GIS.
Krivoguz D.O., Zaharova Ju.B.r
This research is devoted to forecasting the ecological and economic development of the Kerch Peninsula with the application of geospatial analysis.
The relevance of this work is that due to the rapid development of the Kerch Peninsula, as a cross-border section between the mainland of Russia and the Crimea, as a future tourist «Mecca», the environmental burden on the region is increasing. In this situation, studies related to a comprehensive assessment of the ecological and economic state of the territories and on its basis by adjusting the plans for regional development acquire particular urgency.
The purpose of the study is to identify areas of the Kerch Peninsula that will preserve the ecological and economic balance, in the context of their rapid development, as well as the location of infrastructure facilities of any orientation within their borders.
The practical importance of this work lies in the possibility of applying the results obtained by the research organizations during the planning of the development strategy of the region.
On the basis of theoretical and methodological approaches and statistical data, a multifactor analysis was carried out to determine the areas of the Kerch Peninsula that will preserve the ecological and economic balance in the conditions of their rapid development, as well as the location of infrastructure objects of any orientation within their boundaries.
The calculation was carried out using the sign weight method, this method is well applicable in the presence of a large database of spatial data, which largely describes the factors affecting the ecological and economic development of the study area.
The analysis showed that the potentially favorable areas are the North-Eastern part of the Kerch Peninsula, and the South and South-West parts are characterized by a low level of ecological and economic development.
Assessment of pollution changes of oil spills on the territories of Zhetybai and Uzen oil fields (using Remote sensing data).
Certain amount temporal changes occur on the surface of the Earth. Usage of the various observation and monitoring techniques makes possible to determine this changes. Moreover by analyzing them it is possible to improve and prevent any natural or anthropogenic disaster. One of the problems of our planet is soil contamination with oil waste. Pollution of soil and vegetation occurs from different reasons. It might be arising leakage associated with piping disruption, contamination as a result of transportation etc. This article discusses methods for timely monitoring and analysis of the earth’s surface to determine oil pollution using Remote Sensing data and tools of Geoinformation Technologies. For that Change Detection analyses and Object based Image analyses (OBIA) were done. Further the database of contaminated zones of oilfields was created. In this work were used Sentinel-2a image data which provided by European Space Agency and it is available for everyone. The oilfields Zhetybai and Uzen were chosen as the study areas.