Virtual Multiphase Flow Meter using combination of Ensemble Learning and first principle physics based
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29 giu 2022
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Categoria dell'articolo: Article
Pubblicato online: 29 giu 2022
Ricevuto: 15 nov 2021
DOI: https://doi.org/10.2478/ijssis-2022-0010
Parole chiave
© 2022 Mohd Azmin Ishak et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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![Inflow Performance Relationship (IPR) and Vertical Lift Performance (VLP) (Fetoui, [Online]).](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/6471fb2b215d2f6c89db76a4/j_ijssis-2022-0010_fig_009.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250916%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250916T001458Z&X-Amz-Expires=3600&X-Amz-Signature=c3387cd33576a979e2cbd4bf2f45a45c0eaa0455422590ffd04f210ece929dc3&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
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Pilot Experiment Parameters_
Producing Wells | Well 101 and Well 102 |
Well-testing equipment | Shared MPFM |
Flow type | Multiphase (3 phases) |
Training data | 6 weeks multi-rate well-tests |
Online test duration | 6 months |
Measurements | Downhole P/T, Upstream P/T, downstream P/T, Choke opening |
Data source | OSIsoft PI |
Flow rate deviation (delta Q) performance summary for data-driven VFM estimators_
101 | Qgas | 216 | 248 | 222 | 189 |
Qoil | 242 | 263 | 377 | 248 | |
Qwater | 0.5 | 0.3 | - | 0.2 | |
102 | Qgas | 68 | 135 | 106 | 90 |
Qoil | 35 | 25 | 40 | 27 | |
Qwater | 12 | 16 | 6 | 10 |
Combiner group description_
combiner-all | Combining the three DD-VFM estimator categories and TF-VFM |
combiner-dd | Combining the three DD-VFM estimator categories only |
combiner-full | Combining the full-type DD-VFM estimator and TF-VFM |
combiner-surface | Combining the surface-type DD-VFM estimator and TF-VFM |
MAPE performance summary for data-driven VFM estimators_
101 | Qgas | 16.6 | 19.2 | 16.9 | 13.9 |
Qoil | 9.7 | 10.0 | 15.7 | 9.8 | |
102 | Qgas | 6.0 | 9.5 | 10.2 | 7.7 |
Qoil | 3.1 | 2.3 | 3.8 | 2.5 |
Format for well test report to be for both training and testing dataset_
DD:MM:YYYY HH:MM:SS | 101 | – | – | – | – | – | – | – | – | – | – |
DD:MM:YYYY HH:MM:SS | 102 | – | – | – | – | – | – | – | – | – | – |
DD:MM:YYYY HH:MM:SS | 101 | – | – | – | – | – | – | – | – | – | – |
DD:MM:YYYY HH:MM:SS | 102 | – | – | – | – | – | – | – | – | – | – |
Tested combiner VFM_
101 | Qgas | combiner-all | [full, surface, subsurface, TF] |
combiner-dd | [full, surface, subsurface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] | ||
Qoil | combiner-all | [full, surface, subsurface, TF] | |
combiner-dd | [full, surface, subsurface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] | ||
Qwater | combiner-all | [full, surface, TF] | |
combiner-dd | [full, surface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] | ||
102 | Qgas | combiner-all | [full, surface, subsurface, TF] |
combiner-dd | [full, surface, subsurface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] | ||
Qoil | combiner-all | [full, surface, subsurface, TF] | |
combiner-dd | [full, surface, subsurface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] | ||
Qwater | combiner-all | [full, surface, subsurface, TF] | |
combiner-dd | [full, surface, subsurface] | ||
combiner-full | [full, TF] | ||
combiner-surface | [surface, TF] |
Data-driven model category with the associated inputs and outputs for each well_
101 | full | CV, FTHP, FTHT, dPWell, dTWell, dPChoke, dTChoke | Qgas | AdaBoost |
Qoil | RandomForest | |||
Qwater | AdaBoost | |||
surface | CV, FTHP, FTHT, dPChoke, dTChoke | Qgas | RandomForest | |
Qoil | RandomForest | |||
Qwater | AdaBoost | |||
subsurface | FTHP, FTHT, dPWell, dTWell | Qgas | AdaBoost | |
Qoil | RandomForest | |||
102 | full | CV, FTHP, FTHT, dPWell, dTWell, dPChoke, dTChoke | Qgas | Bagging |
Qoil | RandomForest | |||
Qwater | AdaBoost | |||
surface | CV, FTHP, FTHT, dPChoke, dTChoke | Qgas | AdaBoost | |
Qoil | RandomForest | |||
Qwater | AdaBoost | |||
subsurface | FTHP, FTHT, dPWell, dTWell | Qgas | RandomForest | |
Qoil | AdaBoost | |||
Qwater | Bagging |
Flow rate deviation (delta Q) performance for all VFM_
101 | Qgas | 214 | 155 | 186 | 148 | 146 |
Qoil | 278 | 221 | 220 | 126 | 146 | |
Qwater | 0.2 | 15.4 | 0.6 | 0.6 | 0.7 | |
102 | Qgas | 83 | 85 | 77 | 54 | 87 |
Qoil | 14 | 152 | 12.6 | 12 | 13 | |
Qwater | 7 | 53 | 4 | 4 | 5 |
MAPE performance summary for all VFM_
101 | Qgas | 16.6 | 9.6 | 11.8 | 9.0 | 8.7 |
Qoil | 9.7 | 8.3 | 8.5 | 4.7 | 5.5 | |
102 | Qgas | 6.0 | 5.6 | 4.9 | 3.6 | 5.4 |
Qoil | 3.1 | 17.5 | 1.3 | 1.2 | 1.3 |