File size: 4,033 Bytes
201765b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
# Development history

This is the previous model card, kept verbatim.

---
license: cc-by-4.0
task_categories: [tabular-classification]
tags: [time-series, industrial, 3w, causal, negative-results, anomaly-detection]
configs:
- config_name: decisions
  default: true
  data_files:
  - split: validation
    path: data/decisions/validation.parquet
  - split: confirmation
    path: data/decisions/confirmation.parquet
- config_name: episodes
  data_files:
  - split: validation
    path: data/episodes/validation.parquet
  - split: confirmation
    path: data/episodes/confirmation.parquet
- config_name: corpus
  data_files:
  - split: metadata
    path: data/corpus/metadata.parquet
---
# 3W causal real-group audit and failed-transfer traces

Native typed Parquet derived from pinned public Petrobras 3W 2.0. This release
contains source-audit metadata and every validation/confirmation decision and
episode outcome for the frozen 11-candidate study. **It is not a new raw sensor
corpus, new field acquisition or industrially qualified failure dataset.**

The [source descriptor](https://doi.org/10.1038/s41597-026-07225-z) is published
in April 2026; the underlying pinned release predates that paper. See
[attribution](ATTRIBUTION.md), [exact table schemas/counts](TABLES.json),
[protocol](benchmark-protocol.json), [manifest](benchmark-manifest.json),
[access ledger](ACCESS-LEDGER.md), and [complete negative-result report](https://huggingface.co/sankalpsthakur/well-production-event-causal/blob/main/well_health/REPORT.md).
The model repository is [well-production-event-causal](https://huggingface.co/sankalpsthakur/well-production-event-causal).

## Configurations

- `decisions`: one row per 30-second decision after 180-second past-only warmup;
  labels, numeric eligibility, capped grid exposure, all 11 class/residual scores
  and frozen alarms. Unknown class/binary targets and ineligible scores are null.
  `event_timestamp_ns` is the original nominal dataset event clock, not verified
  arrival or decision time. Scores/labels/provenance are offline audit fields;
  they must not enter a predictor as input features.
- `episodes`: one row per candidate/episode, with event, onset censoring, alarm
  coverage, carried-in alarm and known-onset delay. Transient and steady labels
  for the same contiguous event are merged. Covered is not onset detected.
- `corpus`: 2,228 source recording metadata rows, including 1,119 real,
  1,089 simulated and 20 drawn files, source hashes, labels, clocks, seven-channel
  availability and the frozen real-recording selection/overlap exclusions.
  Reserved-group rows are qualification metadata, not predictive evaluations.

No train or reserved feature/score split is published here. The protocol used
357 training, 33 validation, 138 initial confirmation and 113 reserved selected
recordings, plus 478 real overlap exclusions. Raw sensor values are obtained
from the separately attributed upstream source, not silently duplicated here.
Filename groups are anonymized public IDs, not authenticated physical-well IDs.

## Known failure and intended use

The validation-selected primary covers 24/55 confirmation episodes, with 42
false alarms over 9.124 eligible normal days and 64.392% normal alarm occupation.
Only 3/12 observable onsets are covered within 300 seconds; most covered episodes
already had an active alarm at onset. Normal numeric eligibility is 59.812%.
Use these tables to inspect group transfer, abstention, onset censoring and alarm
burden, not to claim physical barrier integrity, RUL or deployment readiness.

All 31 frozen fixtures passed in the actual included CPU run. Its final JSON
report failed serialization after traces/weights were saved; a separate report
was recovered without fitting/retuning. The provider failure remains explicit.
The original confirmation set is consumed; eight additional groups stay reserved
for a separately reviewed/frozen future comparison. Public-pretraining exposure
cannot be excluded by study-level group separation.