Hierarchical Simulation of Multiple-Facies Reservoirs Using Multiple-Point Statistics
Abstract/Contents
- Abstract
- Simultaneous (joint) simulation of all facies present in a reservoir with the presently available multiple-point simulation algorithm snesim leads to poor shape reproduction in two instances: 1) when the number of facies with different shapes and spatial continuity increases, and 2) when channel systems with distinct characteristics are present. The reasons are as follows: The training image (Ti) is not large or rich enough to depict with enough replicates all alternative data patterns that can be found. The sizes of the Ti and of the template required to capture the large-scale structures in the Ti is limited by memory (RAM) restriction. In the case of the distinct channel systems averaging over the different systems, as done in a joint simulation, obscures the individual patterns. When applied to a reservoir with multiple facies of various shapes and sizes, hierarchical simulation calls for simulating these facies separately to ensure good shape reproduction. This is demonstrated using a fluvial meandering reservoir in which the channels and levees are simulated together and separately from the crevasse splays; the latter approach has two advantages: a) The complexity of the Ti is decreased because crevasse is separated from channel and levee, and 2) A larger template can be used to capture the large-scale continuity of channels and levees because the corresponding increase in memory demand is alleviated by a decrease in the number of facies being simulated simultaneously. The hierarchy used for the fluvial meandering reservoir follows geological rules of deposition.
Description
| Type of resource | text |
|---|---|
| Date created | June 2004 |
Creators/Contributors
| Author | Maharaja, Amisha |
|---|---|
| Primary advisor | Journel, Andre |
| Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
Bibliographic information
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Preferred citation
- Preferred Citation
- Maharaja, Amisha. (2004). Hierarchical Simulation of Multiple-Facies Reservoirs Using Multiple-Point Statistics. Stanford Digital Repository. Available at: https://purl.stanford.edu/yp170fr0129
Collection
Master's Theses, Doerr School of Sustainability
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