Sensitivity Analysis of Pre-Stack Seismic Inversion on Facies Classification Using Statistical Rock Physics
Abstract/Contents
- Abstract
- Pre-stack seismic inversion has been used extensively in reservoir characterization to predict lithology as well as fluid content because both P-wave impedance (....) and S-wave impedance (.... ) can be extracted simultaneously from pre-stack P-wave data. However, traditionally, only one inversion result is provided due to long computation time which ignores the large uncertainties in the inversion result caused by many factors in the inversion process such as seismic wavelet, background geological model and ....-.... relationship, etc. In this work, we used the algorithm introduced by Hampson and Russell to estimate .... and .... of a North Sea reservoir. Then, a classification method based on statistical rock physics was used to classify the whole 3D reservoir into three different facies (shale, brine sand and oil sand) given inverted .... and ...., to provide a 3D probability cube of each facies. The main contribution of this work is sensitivity analysis of the important parameters in pre-stack seismic inversion, in particular, with respect to its impact on facies classification. To achieve this, experimental design was performed and both seismic residual (difference between original seismic data and synthetic seismogram) and facies classification results were analyzed to determine sensitivity of these parameters. The result of this work shows the most sensitive parameter in terms of seismic residual is seismic wavelet while facies classification result is most sensitive to the background geological model.
Description
| Type of resource | text |
|---|---|
| Date created | June 2014 |
Creators/Contributors
| Author | Li, Peipei |
|---|---|
| Primary advisor | Mukerji, Tapan |
| Degree granting institution | Stanford University, Department of Energy Resources Engineering |
Subjects
| Subject | School of Earth Energy & Environmental Sciences |
|---|---|
| Genre | Thesis |
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Preferred citation
- Preferred Citation
- Li, Peipei. (2014). Sensitivity Analysis of Pre-Stack Seismic Inversion on Facies Classification Using Statistical Rock Physics. Stanford Digital Repository. Available at: https://purl.stanford.edu/my652qk2615
Collection
Master's Theses, Doerr School of Sustainability
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