Effective Reservoir Management Through Integration of Formation Pressure While Drilling, Well Log and Seismic Data in the White Rose Field, Offshore Newfoundland, Canada
Bibliographic record
Abstract
Abstract Understanding reservoir compartmentalization is one of the key aspects of effective reservoir management. The optimization of production and injection wells is a key objective of this process. Integration of seismic, formation tester and other data along with production results, provides valuable information about reservoir compartmentalization. This data integration concept was applied to characterize reservoir connectivity in the central development region of the White Rose Field. The reservoir interval consists of a thick Cretaceous-aged sandstone reservoir (Ben Nevis formation) located offshore Newfoundland, Canada. The field development strategy involves drilling horizontal producers and a combination of deviated and horizontal injectors. Production/injection began before drilling of all wells in the field, leading to drilling under dynamic conditions in a field that achieved oil production rates in excess of 135,000 bbl/d. Prior to production, the White Rose Field appeared relatively homogeneous with well-connected flow units, although reservoir heterogeneity and fault compartmentalization were considered the greatest risks to recovery. Subsequent dynamic multi-disciplinary data obtained during production highlights specific intervals of compartmentalization allowing for a focused approach in dealing with heterogeneous flow. Formation pressure while drilling (FPWD) data, acquired in newly drilled horizontal or deviated wells, indicate complex flow paths between injector and producer. A combination of pressure data from multiple wells, petrophysical interpretations, geophysical analysis, and production data, provides important information about reservoir connectivity and the transmission properties of several faults. This paper describes how an integrated approach, along with the implementation of new technology measurements, facilitated effective reservoir management. The integration of the data to transform the pre-production reservoir characterization into a synproduction simulation model is elaborated upon. The discussion also addresses the sealing nature of the faults and vertical barriers to flow. The process has been useful in managing the production and injection wells, as well as determining the drilling requirements for infill wells.
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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 | 0.001 | 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 | 0.001 |
| 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".