Heavy oil reservoir characterization using Vp/Vs ratios and spectral decomposition
Bibliographic record
Abstract
It is well known, especially for heavy oil projects, that Vp/Vs is a very good lithology discriminator. In this paper we provide a Vp/Vs ratio volume based on AVO analysis and simultaneous inversion using only the PP component. The new results are compared with the previous results based on the traveltime measurements on the vertical and radial components of the multicomponent records (Lines et al., 2005). The area for this project is a heavy oil field (oil sands of the Devonian‐Mississippian Bakken Formations) near Plover Lake, Saskatchewan. In this study we analysed Nexen's 3D‐3C seismic survey, acquired by Veritas DGC and processed by Sensor Geophysical. We performed AVO analysis followed by simultaneous inversion on pre‐stack time migrated gathers in order to derive P‐impedance, S‐impedance, density and Vp/Vs volumes. The inversion approach accounts for the petrophysical relationship that exists in the logarithmic domain between: (1) P‐impedance and S‐impedance and (2) P‐impedance and density. It provides a significant improvement over separate inversions of the two AVO attributes P‐ and S‐wave impedance reflectivity, particularly for Vp/Vs ratio estimates. Additional rock properties, such as rigidity and incompressibility were derived from P‐impedance and S‐impedance (Goodway et al., 1997). The Vp/Vs volume from simultaneous inversion compared very well with the similar volume obtained from a previous study. The Vp/Vs results for the Sparky/Waseca‐Torquay interval show similar general features. The new volume, based on simultaneous inversion produces Vp/Vs ratio values with a vertical resolution of 2ms (sampling rate) whereas the previous results from travel times are just averaged over 60 ms (Sparky — Torquay interval). The new results are sharper and offer more details in identification of the sand and shale. In this project we applied spectral decomposition (discrete Fourier transform) to the AVO attributes P‐ and S‐wave impedance reflectivities to better predict changes in lithology and flow barrier. The spectral decomposition amplitude and phase spectra volumes show structural geologic features and the limits of the reservoir.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".