Advanced discretization methods for flow simulation using unstructured grids
- Globally structured grids, including the so-called stratigraphic or CPG (Corner Point Geometry) approaches, are widely used in the reservoir simulation community. However, there has been strong and growing interest in developing methods, tools, and workflows that employ generally unstructured grids because they can represent the complexity of real geological formations more accurately and efficiently compared with structured grids. The great potential of unstructured grids comes with many challenges including (1) development of robust and efficient discretization schemes in the presence of heterogeneous (full-tensor) properties, (2) development of tools and inter-connects that make up the Characterization-Discretization-Simulation (CDS) workflow based on generally unstructured grids, and (3) detailed analysis of the effects of unstructured grids and advanced discretization schemes on the accuracy, robustness, and efficiency of general-purpose reservoir flow simulation. In this work, we describe a CDS workflow for unstructured grids. The tools and workflow allow for the construction and discretization of detailed unstructured Reservoir Characterization Models (RCMs) for the purpose of reservoir flow simulation. The main contribution of the work is the development and implementation of a discretization module for generally unstructured grids that is based on multi-point flux approximations (MPFA). This discretization software layer is called SupriPack, and it is implemented as a ``plug-in'' into the GoCad environment. SupriPack employs our newly developed flux-based framework for constructing MPFA discretization schemes. The flux-based approach is quite flexible. It accommodates three-dimensional unstructured grids with complex topology, as well as, heterogeneous, full-tensor, permeability fields. We show that the flux-based framework is a super-set of existing MPFA schemes, and it is compatible with methods that can adapt to the local anisotropy of the permeability. Several existing MPFA schemes, including ``O'' and compact, have been implemented and tested. We also demonstrate the full unstructured-grid CDS workflow using GPRS (Stanford's General-Purpose Research Simulator), which is an advanced research platform for compositional reservoir simulation using fully unstructured grids.
|Type of resource
|electronic; electronic resource; remote
|1 online resource.
|Moog, Guillaume Joseph Edouard Antoine
|Stanford University, Department of Energy Resources Engineering.
|Statement of responsibility
|Guillaume Joseph Edouard Antoine Moog.
|Submitted to the Department of Energy Resources Engineering.
|Thesis (Ph.D.)--Stanford University, 2013.
- © 2013 by Guillaume Joseph Edouard Antoine Moog
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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