Seismic sedimentology of a broad, low-relief carbonate platform: The Cambrian Longwangmiao Formation, Moxi–Gaoshiti area, Sichuan Basin, China
Bibliographic record
Abstract
ABSTRACT Broad, low-relief carbonate platforms are commonly relatively flat lying and show minimal topographic relief. These characteristics make the platforms difficult to interpret using seismic data. To systematically analyze these platforms for reservoirs, a seismic-sedimentological workflow was implemented to investigate the paleogeomorphology and reservoir quality of the Cambrian Longwangmiao Formation (LWM) in the Moxi–Gaoshiti area of the Sichuan Basin, China. Conventional core and wire-line log data indicate that carbonate lithofacies are composed of completely dolomitized grainstones, packstones, and wackestones to mudstones. Associated depositional environments were interpreted as shoal complex (shoal crest, shoal margin, and intershoal), lagoon, and deep shelf. The low (4%–8%) porosity reservoirs are largely related to the shoal complex facies. Two third-order sequences were correlated throughout the field area, each demonstrating an upward-shallowing trend. The reservoir-quality rocks were formed in the highstand systems tracts of the sequences. Lacking diagnostic shallow-water indicative seismic facies (e.g., the topset of clinoforms), seismic paleogeomorphology was assessed by restoring the paleostructure at the top of the LWM and then evaluating the gross thickness of the LWM to establish the accumulation rate of sediments across the area. This approach demonstrated a fair correlation to measured reservoir-thickness data from wire-line logs, indicating that the paleogeomorphology and depositional facies were largely controlled by a syndepositional, en echelon fault system that determined the distribution of shallow-water shoal complexes and deeper shelf areas across the field area. Seismic lithology determination by amplitude analysis of multiple frequency panels provided a quantitative assessment of reservoir distribution, supplementing the qualitative paleogeomorphologic maps for field development and reservoir modeling.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".