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Permanent link (DOI): https://doi.org/10.7939/R3WH2DP18

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Conditioning 3D Object-Based Models to a Large Number of Data Open Access

Descriptions

Other title
Subject/Keyword
fluvial reservoir
sinuous channel
parameterization
optimization
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wang,Yimin
Supervisor and department
Boisvert, Jeff (Civil and Environmental Engineering)
Examining committee member and department
Deutsch, Clayton (Civil and Environmental Engineering)
Leung, Juliana (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Mining Engineering
Date accepted
2016-09-29T14:53:02Z
Graduation date
2016-06:Fall 2016
Degree
Master of Science
Degree level
Master's
Abstract
Object-based stochastic simulation models are commonly applied for generating facies or rock models with more realistic representation of complicated reservoir heterogeneity. A limitation of object-based modeling is the difficulty of conditioning to dense well data. One method to achieve conditioning is by applying optimization techniques. The optimization algorithm accesses an objective function measuring the conditioning level of objects and the geologic realism. The objective function is optimized with implicit filtering which can consider constraints on object parameters. Thousands of locally optimized objects are generated and stored in a database. A set of the objects are selected with linear integer programing and populated into the model to honor all well data, proportions and other geologic features. To illustrate the conditioning of object-based modeling with complicated geologic features, objects from fluvial reservoirs are used, although any parameterizable object can be considered with the proposed methodology. Channels, levees, crevasse splays and oxbow lakes are parameterized based on location, path, orientation and profile shapes. Functions mimicking natural river meandering are used for the centerline model. Channel stacking pattern constraints are also included to enhance the geological realism of object interactions. Correlations between different types of objects are modeled as well. Case studies considering the geology of different styles of reservoirs demonstrate the flexibility of the methodology. The reservoir styles modeled include bifurcating channels, braided channels, fragmented channels and reservoirs with four types of objects. In all cases the proposed method robustly adheres to realistic feature geometries and matches the dense well constraints. The methodology can be easily modified and applied to many different geologic settings.
Language
English
DOI
doi:10.7939/R3WH2DP18
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
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