Application of raster data-based spatial analysis in oil and gas migration

Author

Wang, Qing ; Wu, Dongsheng ; Xiao, Keyan ; Zhang, JiaHua

Author_Institution

Yangtze Univ., Jingzhou, China

fYear

2011

fDate

24-26 June 2011

Firstpage

1

Lastpage

4

Abstract

The prediction of the dominant migration pathways of oil and gas migration is a key issue. The article starts from the parametric comprehensive analysis of the controlling factors such as transport system, energy field, etc. Through the establishment of the quantitative relationship between the various parameters and the dominant migration pathways, we use spatial analysis methods after the conversion into raster data so that the prediction and simulation of oil and gas migration paths can be realized. First, we achieve DTM data of the factors which are related to permeability of sandstone and fault and frame translocation with the methods like special difference; second, referring to DEM-based hydrological analysis, we set up the matrix of oil and gas migration direction based on various DTM data, and finally extract oil and gas migration path.

Keywords

data models; fault location; gas industry; geographic information systems; geology; hydrological techniques; petroleum industry; production engineering computing; DEM-based hydrological analysis; fault translocation; frame translocation; gas migration; oil migration; parametric comprehensive analysis; raster data-based spatial analysis; sandstone permeability; spatial analysis methods; Analytical models; Data models; Fluids; Geographic Information Systems; Permeability; Predictive models; Reservoirs; oil and gas migration; raster GIS; spatial analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2011 19th International Conference on

Conference_Location

Shanghai

ISSN

2161-024X

Print_ISBN

978-1-61284-849-5

Type

conf

DOI

10.1109/GeoInformatics.2011.5980884

Filename

5980884