A contribution to improve facies object modeling of meandering rivers depositional systems

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Abstract/Contents

Abstract
This work focuses on improving meandering river architecture in object-based modeling. Object-based modeling is used through the industry to replicate several depositional environments using defined geometries that intend to mimic reality. Meandering river environments, due to their specific and relatively well defined geobodies, are amongst the most represented by object modeling algorithms. Modeling of these systems is mostly controlled by the amount and distribution of its different constituent structures. Channel and levees facies are the main landforms characterized in the literature. These structures are represented by several commercial software often in an over simplistic geometrical form. Furthermore, other bodies pertaining to the meandering river architecture, such as point bars and splays are also not described properly or sometimes not even taken into account at all for modeling purposes. In this thesis, we propose an improved portrayal of meandering rivers not only with the inclusion of these additional landforms (point bars and splays) but by properly investigating and delineating its geometrical configurations and its inter-relation amongst these different arrangements. Application of the above proposed methodology is demonstrated through guided workflows.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2016
Issuance monographic
Language English

Creators/Contributors

Associated with Donoso, Jose Maria
Associated with Stanford University, Department of Energy Resources Engineering.
Advisor Mukerji, Tapan, 1965-
Thesis advisor Mukerji, Tapan, 1965-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Jose Maria Donoso.
Note Submitted to the Department of Energy Resources Engineering.
Thesis Thesis (Engineering)--Stanford University, 2016.
Location electronic resource

Access conditions

Copyright
© 2016 by Jose Maria Donoso
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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