Reservoir modeling with multiple geological scenarios for deformation of reservoir structure and evolution of reservoir properties
Abstract/Contents
- Abstract
- Deformational uncertainty about subsurface structures and accommodational uncertainty about rocks are not only closely linked to each other, but also significantly impact reservoir responses. The main objective of this dissertation is to investigate the effects of these two geological uncertainties on reservoir responses. To achieve this goal, we aim to develop and test a reservoir modeling and evaluation workflow that accounts for the mode of deformation of a reservoir and the mode of accommodation of reservoir properties for a given deformation, by utilizing structural attributes and rock physics models. First, we investigate the sources of geological uncertainty in structural deformation and rock accommodation. We employ different combinations of structural geometry and deformation models to represent multiple scenarios for structural deformation. Distributed and localized accommodation styles and their subsets can represent scenarios for rock accommodation. Second, we develop a new geomodeling workflow accounting for the mode of structural deformation and rock accommodation. The new workflow links the forward deformation and restoration of the reservoir structure to the same processes on the rock. An application on a synthetic field demonstrates that realizations and dynamic responses from different scenarios can be distinguished from one another by comparing seismic responses. Next, we propose a new rock physics method, Reconstruction of Equivalent Isotropic Medium (REIM), which allows us to compute the angular variation of seismic responses of arbitrarily oriented fracture inclusions in an anisotropic medium, and to apply our new workflow to unconventional shale resources. Specifically, we apply these tools to an unconventional Marcellus gas field in which structural complexity and sparse data cause substantial difficulties in evaluation. We identify the sources of geological uncertainties and define multiple scenarios based on basin-wide and field-specific observations. By using rock physics models as vehicles to link geological scenarios with reservoir properties, we propagate geological assumptions to reservoir responses. We then select combinations of structural deformation and rock accommodation scenarios by comparing the actual and synthetic seismic responses. The selected scenario and models successfully explain the field-specific anomalies.
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 | Shin, Yongduk |
|---|---|
| Associated with | Stanford University, Department of Energy Resources Engineering. |
| Primary advisor | Mukerji, Tapan, 1965- |
| Thesis advisor | Mukerji, Tapan, 1965- |
| Thesis advisor | Caers, Jef |
| Thesis advisor | Pollard, David D |
| Advisor | Caers, Jef |
| Advisor | Pollard, David D |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Yongduk Shin. |
|---|---|
| Note | Submitted to the Department of Energy Resources Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Yongduk Shin
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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