Three-Dimensional Seismic Attributes Help Define Controls on Reservoir Development
Bibliographic record
Abstract
Abstract The use of three-dimensional (3-D) seismic attributes to predict reservoir properties is becoming widespread in many areas. One of the most underutilized aspects of the methodology is that the property-prediction maps can help geoscientists understand depositional and postdepositional controls on reservoir development. We illustrate this point via a case study that examines partially dolomitized, restricted to open-marine carbonates of the Ordovician Red River Formation in the Williston Basin. We tied log and seismic data, mapped key reflection events in the 3-D seismic volume, calculated the porosity thickness (thickness × sonic porosity) for the porous zone, and then correlated those data with 21 attributes. We derived a relationship between two attributes (the spectral slope from peak to maximum frequency and the ratio of positive to negative samples) and porosity thickness that yielded a 0.88 correlation coefficient between predicted and actual values. This relationship was used to predict the porosity thickness throughout the 3-D seismic area. The resulting porosity distribution shows (1) good porosity development along the flanks of structures that are associated with visible faulting or steep dips at the underlying Winnipeg level, (2) thin (~17–28 ft [~5–8.5 m]) porous zones throughout much of the field, (3) a large, off-structure porosity zone in an area without well control, and (4) small, irregularly distributed porous zones (most likely the result of noise and/or error in the predictive relationship). In areas where faults and flexures are associated with enhanced porosity development, the slope of spectral frequency attribute may be responding to fractures, with more rapid attenuation of high frequencies occurring in these areas. These observations support a diagenetic model where faults and fractures acted locally as preferential pathways for dolomitizing fluids. Away from these zones, the porosity distribution shows some porosity thickness over the entire area that is consistent to drillstem test data that shows depleted pressures in wells drilled in the early 1990s on otherwise isolated structures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".