The Advantages of Pre-stack Inversion in Heterogeneous Carbonate Reservoir Prediction - A Case Study from Tarim Basin, China
Bibliographic record
Abstract
We present a numerical evaluation of the seismic response due to fluids in the pore space of coalbeds for the Corbett Field, located 145Km to NW of Edmonton, Alberta, Canada to simulate the replacement of brine by methane in coalbeds. We use Palmer and Mansoori analytical model and Gassmann equation to generate synthetic seismograms to evaluate seismic as a monitoring tool for methane production. In the Corbett Field the targets are two coal seams of the Mannville Group, the Main Seam and the Lower Seam. Based on sonic and density log from the well 100-03-22-062-06W500 of the Corbett Field, we perform a fluid simulation to make an assessment of its production forecast in an 8 years period and a fluid substitution to estimate the variation of the seismic properties during production. We use the Gassmann equation to substitute 100% brine (initial state) in the pore space of Main Seam and Lower Seam by a combination of brine (82%) and methane (18%) and then we generate the synthetic seismograms. As the result, synthetic seismograms show, the Main and Lower Seam as a single unit and the substitution of brine by methane did not generate a significative response.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".