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

Qing Wang, Dongsheng Wu, Keyan Xiao, Jia Hua Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China
Duration: 24 Jun 201126 Jun 2011

Publication series

NameProceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011

Conference

Conference2011 19th International Conference on Geoinformatics, Geoinformatics 2011
Country/TerritoryChina
CityShanghai
Period24/06/1126/06/11

Keywords

  • oil and gas migration
  • raster GIS
  • spatial analysis

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