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Self-Organized Mega-Structures in Sedimentary Basins.

DE2004825402

Publication Date	2004
Page Count	16
Abstract	The overall theme of the project is to develop a quantitative understanding of basin reaction/transport/mechanical (RTM) processes on a broad range of scales. Our approach starts with the development of novel formulations of the basic RTM process rate laws (e.g. rock deformation, texture dynamics, and fracturing). We then set forth algorithms for solving the resulting partial differential equations numerically. As many of the parameters in the subsurface are not well known, we embed the entire approach in a probabilistic framework through information theory. The result is a set of novel software and conceptual papers that have been the first quantitative theory of a number of fundamental phenomena that take into account the full RTM dynamics of these systems.
Keywords	Self organizing systems Information theory Probalistic descriptions Algorithms Summaries Accomplishments Conceptual models Sendimentary basins Structural properties (Geology) Rocks Deformation Texture Cracking (Fracturing) Software Basin reaction/transport/machanical (RTM) processes Mega-Structures
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Indiana Univ. at Bloomington. Dept. of Chemistry.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200512

Self-Organized Mega-Structures in Sedimentary Basins.

Self-Organized Mega-Structures in Sedimentary Basins.
DE2004825402

Publication Date	2004
Page Count	16
Abstract	The overall theme of the project is to develop a quantitative understanding of basin reaction/transport/mechanical (RTM) processes on a broad range of scales. Our approach starts with the development of novel formulations of the basic RTM process rate laws (e.g. rock deformation, texture dynamics, and fracturing). We then set forth algorithms for solving the resulting partial differential equations numerically. As many of the parameters in the subsurface are not well known, we embed the entire approach in a probabilistic framework through information theory. The result is a set of novel software and conceptual papers that have been the first quantitative theory of a number of fundamental phenomena that take into account the full RTM dynamics of these systems.
Keywords	Self organizing systems Information theory Probalistic descriptions Algorithms Summaries Accomplishments Conceptual models Sendimentary basins Structural properties (Geology) Rocks Deformation Texture Cracking (Fracturing) Software Basin reaction/transport/machanical (RTM) processes Mega-Structures
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Indiana Univ. at Bloomington. Dept. of Chemistry.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200512