Architecture and Sequence Stratigraphy of Pleistocene Fluvial Systems in the Malay Basin, Based on Seismic Time-Slice Analysis
Bibliographic record
Abstract
Abstract The Malay Basin is underlain by a productive, gas-prone, nonmarine Cenozoic section. Exploitation of the gas reserves is largely based on three-dimensional (3-D) seismic surveys, which have also generated much data from the nonproductive, near-subsea Pleistocene section. Seven seismic time-slice images at 12 ms two-way travel time (TWTT) spacings that document the 29-86 m sub-sea-floor section of this Pleistocene succession in the northern Malay Basin are analyzed here. These images reveal at least five types of fluvial systems of widely varying style and cross section dimensions, ranging from braided systems with channel-belt widths of more than 4 km to small-scale meandering systems with meander-belt widths of a few hundred meters. An incised-valley system estimated to be 40 m deep is intersected by five of the images and forms the basis for an interpretation of one of two sequence boundaries revealed by this data set. The wide variation in channel style and scale in the project area contrasts with the rather uniform fluvial styles that are assumed in many production models for nonmarine oil and gas fields and should serve as a warning against making simplistic as sumptions about the consistency of these parameters during architectural and reservoir modeling and paleohydraulic reconstruction.
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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 | 0.001 |
| 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) | 0.001 | 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".