Geochemistry, Diagenesis and Secondary Porosity Development of Late Jurassic-strata, Offshore Newfoundland, Canada
Bibliographic record
Abstract
Hydrocarbon prospectively in siliciclastic reservoirs is dependant on many attributes. Two key factors are: (i) a complete understanding of the geochemical character of source rock organic matter (OM) and (ii) assessing reservoir quality of the reservoir rocks. These two key factors are the primary focus of the research completed in this thesis. In this thesis OM types and distribution, the hydrocarbon potential, thermal maturity of source rock intervals, and the diagenetic mechanisms that control anomalously high secondary porosity in sandstone reservoir intervals from Jurassic-aged, Late-Tithonian strata of the Central Ridge and Flemish Pass Basin, offshore Newfoundland, Canada are studied. This thesis comprises an integration of petrographic analysis, geochemical programmed pyrolysis, organic petrology, and machine learning algorithms from samples taken from cores, side wall cores (SWC), and drill cuttings that intersect the Kimmeridgian-aged to Tithonian-aged sandstones, siltstones, and mudstones of the Central Ridge and Flemish Pass Basin. The sandstone intervals in this area have well preserved anomalously high secondary porosity (>25%) in relative deeply buried (2-3 km) reservoirs. The deltaic sediments that envelop the sandstone bodies have OM-rich and/or OM-lean zones that are largely controlled by depositional environment. Applying a novel machine learning algorithm (Random Forest Analysis) highlights the high hydrocarbon potential zones with a high level of accuracy using wireline log data. A paragenetic sequence was constructed to understand the diagenetic events that control porosity development in the sandstone reservoirs and the relationship to the source rock intervals. Here the model was tested that the high secondary porosity development is caused by dissolution of carbonate cement by short-chained carboxylic acid (SCCA) generation during thermal maturation of OM in the bounding deltaic sediments and the interlaminated OM in the sandstone reservoirs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".