NCS Ensemble Explorer
Explore Eclipse summary data and score ensemble realizations directly from local SMSPEC/UNSMRY files. Ensemble data stays on the workstation.
Summary vectors
| Vector | Keyword | Name | Number | Unit |
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Selected vector
Ensemble analysis
Vector
Show data preview
| Index | Time | Value |
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Vector
Histogram
Show realization statistics
| Realization | Timesteps | Final time | Final value |
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History-match QC
Select entities and QC prefixes that have matching history vectors (for example WOPR + WOPRH). The score logic mirrors the uploaded notebook: normalized RMSE → percentile score → category score → weighted total score.
Entities
QC prefixes
Weights and acceptance
Total score by realization
Vector and category scores
QC vector
History position within ensemble
| Key | Category | History key | Coverage inside P10–P90 | Avg. history percentile |
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Representative forecast cases
Select a forecast vector for the accepted QC realizations. The explorer identifies Reference, Low / P90, Base / P50, High / P10 and an Alternative case with a good history match but distinct forecast response.
Smart shortlist
| Case | Realization | QC score | Forecast value | Percentile target |
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Representative cases
Forecast distribution
Statistical envelope: P90, P50 and P10 are calculated independently at every timestep across accepted QC realizations. Representative Low / Base / High cases are actual realizations and are therefore not identical to the statistical percentile curves.
Forecast metric distribution
Statistical percentiles vs representative cases
| Measure | Statistical value | Representative case | Realization value |
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Ranked score table
Realizations
Show realization details
| Realization | Status | Case | SMSPEC | UNSMRY |
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