Probabilistic assessment of pore pressure prediction with Bayesian Geophysical Basin Modeling
Abstract/Contents
- Abstract
- Effective decision-making in exploring and developing subsurface resources hinges on accurately estimating geologically plausible and realistic properties. Nevertheless, conventional inverse modeling formulations for property estimation encounter computational challenges arising from high-dimensional problem settings and the substantial geological uncertainty inherent in subsurface estimation problems. Especially for pore pressure forecast, this challenge yields to disregarding the geological processes occurring in the subsurface in the predictions by standardizing the use of empirical models calibrated only on offset wells. This dissertation introduces and investigates methodologies rooted in the Bayesian Geophysical Basin Modeling (BGBM) workflow to assess pore pressure. The aim is to incorporate geological processes into estimations and utilize probabilistic models, facilitating a comprehensive evaluation of pore pressure predictions across exploration and exploitation stages in subsurface resource activities.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2024; ©2024 |
| Publication date | 2024; 2024 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Fonseca, Josue Sa da |
|---|---|
| Degree supervisor | Mukerji, Tapan, 1965- |
| Thesis advisor | Mukerji, Tapan, 1965- |
| Thesis advisor | Caers, Jef |
| Thesis advisor | Shachter, Ross D |
| Degree committee member | Caers, Jef |
| Degree committee member | Shachter, Ross D |
| Associated with | Stanford Doerr School of Sustainability |
| Associated with | Stanford University, Department of Energy Resources Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Josue Sa da Fonseca. |
|---|---|
| Note | Submitted to the Department of Energy Resources Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2024. |
| Location | https://purl.stanford.edu/fh159wn8938 |
Access conditions
- Copyright
- © 2024 by Josue Sa da Fonseca
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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