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Use of Integrated Modeling on AN Onshore Niger Delta Field
CONTENTS
Presentation title - Place and Country - Date Month Day Year 2
●Introduction & Overview
●Objective
●Methodology
●Results
●Other tasks
●Conclusions
●Recommendations
Introduction & Overview
Presentation title - Place and Country - Date Month Day Year 3
-Oil and Gas fields
-Vertically stacked sand bodies, clay intercalations.
-Prograding Delta (Marine – transitional - Continental)
-Traps ; Synsedimentary gravitational growth faults & rollover anticlines
-Oil Kitchen; Marine and interbedded shales below continuous shale bodies
-Migration; Post dates structural deformation of megaunits (accumulation)
Introduction & Overview
Presentation title - Place and Country - Date Month Day Year 4
High resistivity, Low Gamma ray signatures
Introduction & Overview
Presentation title - Place and Country - Date Month Day Year 5
●Location Map of the OML fields showing major delineating faults
OBJECTIVE
Presentation title - Place and Country - Date Month Day Year 6
●Development of an integrated model (Prosper + GAP) to optimize production from gas condensate wells on the field and for production forecasting
PROSPER GAP+
2 PART INTEGRATED NETWORK MODEL
Methodology
Presentation title - Place and Country - Date Month Day Year 7
METHODOLOGY – VERTICAL LIFT
Presentation title - Place and Country - Date Month Day Year 8
●Model Update
-FBHP ; Tubing flow behavior or VLP
• Measured Gauge pressure with depth
• Correlation selection or matching (gravity & friction terms)
Gravity controlled
Tubing friction controlled
METHODOLOGY – VERTICAL LIFT
Presentation title - Place and Country - Date Month Day Year 9
●Model Update
-FBHP ; Tubing flow behavior
• FBHP extraction
METHODOLOGY – INFLOW PERFORMANCE
Presentation title - Place and Country - Date Month Day Year 10
●Model Update-Reservoir inflow behavior or IPR (Forchheimer reservoir model)
• Reservoir Pressure (SP tests)
• Forchheimer Reservoir model - (Pi
2 – Pwf2)/Qg Vs Qg
- Slope = Non-Darcy, Intercept = Darcy
METHODOLOGY – INFLOW PERFORMANCE
Presentation title - Place and Country - Date Month Day Year 11
METHODOLOGY – ROUTINE TEST VALIDATION
Presentation title - Place and Country - Date Month Day Year 12
Well test Model
Qgas (Mscfd) 0.987 0.963
Cond. (m3/d) 402 410
Water (m3/d) 18 17
METHODOLOGY – SURFACE NETWORK REPRESENTATION
Presentation title - Place and Country - Date Month Day Year 13
Block flow diagram
Simplified PFD
Marked-up P&ID’s
METHODOLOGY – SURFACE NETWORK REPRESENTATION
Presentation title - Place and Country - Date Month Day Year 14
Initial GAP representation
TVD Considerations
METHODOLOGY – SURFACE NETWORK REPRESENTATION
Presentation title - Place and Country - Date Month Day Year 15
Gas condensate wells (Ibiwari)
Proposed new wells (Ubeji)
Treatment trains 1&2
MP Manifold
MP Gas compression on oil facility
Export LineGAS cap wells
METHODOLOGY – FINE TUNING & HISTORY MATCHING
Presentation title - Place and Country - Date Month Day Year 16
●Factors considered include;
-Manifold pressure & WHP
-Well by well production rates
-Separator pressures
-Export line Pressures
-Constraints (Max train flow rate for example)
METHODOLOGY – FINE TUNING & HISTORY MATCHING
Presentation title - Place and Country - Date Month Day Year 17
●Manifold pressure & WHP
971.0 1000Sm3/d (actual)
123.9 Bara (actual)
Ibewa Wells Actual WHP Model WHP % Diff
IBW 014/4 108.1 108.1 0.00%
IBW 018/5 115.6 117.19 1.38%
IBW 017 121.4 123.11 1.41%
OB 128/5 147.3 149.06 1.19%
IBW 015 127 127.13 0.10%
OB 126/5 157.7 159.6 1.20%
IBW 019/5G 171.2 173.25 1.20%
IBW 020/5 241 242.96 0.81%
IBW 02B 123.9 123.97 0.06%
IBW 007/6 126.9 124.82 1.64%
OB 125/3 170 170.01 0.01%
OB 129 197.3 197.4 0.05%
Average 0.75%
METHODOLOGY – FINE TUNING & HISTORY MATCHING
Presentation title - Place and Country - Date Month Day Year 18
●Well by well production rates - Due to flash gas from condensate consideration;
WellsActual test /Simulation
GCR(m3/m3)
Model GCR
(Sm3/Sm3)
IBW020/5 1,487 2,118
IBW019/4 2,307 3,314
OB126/5 3,561 3,561
OB128/5 3,003 4,500
IBW015/5 3,200 4,628
IBW017/5 4,501 6,399
IBW018/5 5,000 6,999
OB129/5 5,403 7,416
IBW014/4 4,501 6,508
OB125/3 1,591 2,377
IBW02B/5 2,200 3,250
IBW007/6 2,664 2,664
METHODOLOGY – FINE TUNING & HISTORY MATCHING
Presentation title - Place and Country - Date Month Day Year 19
●Well by well production rates
Ibewa Wells Allocated Gas rates (Msm3/d)
Model Gas rates
(Msm3/d)% Diff
IBW 014/4 0.780 0.894 14.66%
IBW 018/5 1.289 1.373 6.52%
IBW 017 0.876 1.043 19.01%
OB 128/5 0.225 0.279 24.08%
IBW 015 2.126 2.314 8.89%
OB 126/5 1.013 1.165 15.02%
IBW 019/5G 0.748 0.839 12.16%
IBW 020/5 0.652 0.782 19.94%
IBW 02B 0.897 0.970 8.07%
IBW 007/6 0.293 0.292 0.36%
OB 125/3 0.892 0.703 21.22%
OB 129 0.642 0.726 13.00%
Average 13.58%
●Separator & Export line pressures
●Constraints (Max train flow rates)
GAS (Mscm/d) COND (bcpd)ACTUAL MODEL ACTUAL MODEL11.807 12.795 17,316 18,636
METHODOLOGY – FINE TUNING & HISTORY MATCHING
Presentation title - Place and Country - Date Month Day Year 20
●Curtailed production-Reduction in condensate production as a result of ruptured pipeline
Wells
Actual reported Model EstimatedGas (Mscfd) Condensate (bbls) Gas (Mscfd) Condensate (bbls)
6.789 5,655 6.105 5,648Well Head Pressure / Status
Actual (WHP/Rates) Model (WHP/Rates)IBW 014/4 106.8 / 0.621 112 / 0.838IBW 018/5 S/I 152 / 0.838IBW 017 105.3 / 0.975 120 / 1.120OB 128/5 S/I S/IIBW 015 126 / 1.652 158 / 1.543OB 126/5 S/I S/I
IBW 019/5G S/I S/IIBW 020/5 S/I S/IIBW 02B S/I S/I
IBW 007/6 S/I 136 / 0.199OB 125/3 S/I S/IOB 129 175.3 / 776 211 / 0.340
Gas Cap Wells (Msm3/d)OB122 1.419 1.32OB105 1.526 S/I
Results
●Further Validation and Optimization
Presentation title - Place and Country - Date Month Day Year 21
Condensate (bcpd)
Model Predicted Gas
(Mscfd)
Actual Gas Production Trend
(Mscfd)12,000 9.400 6.40 - 8.2914,000 10.850 7.60 - 10.0816,000 11.239 8.76 - 10.2718,000 11.899 10.18 - 11.51
RESULTS – OPTIMIZATION PROCEDURE
● Ensure all PROSPER models are updated with as much recent and reliable data as possible. Must be crosschecked with valid well tests.
● Re-link PROSPER files to GAP models, regenerate VLP and run model validation to estimate discrepancies between the measurements and estimated results.
● Input constraints and targets at different relevant nodes. For eg; Gas nomination rates, maximum condensate requirement as specified by OFS etc. Control wells by inputting maximum DD as would have been previously determined from the PROSPER models alone.
● Ensure that the GCR section (GOR in the GAP model) has actual values. i.e, dividing Potential gas by potential condensates and not values from well tests or from the Well Instructions Sheet (WIS)
● Run network model solver to optimize with all constraints after inputting separator conditions (if values on existing model seem to be non-representative).
● Crosscheck that all constraints and targets are met.
● Extract DD from well results. These are to be followed on site.
Presentation title - Place and Country - Date Month Day Year 22
Results●Predictions
●Max Line Pressure
Presentation title - Place and Country - Date Month Day Year 23
Period
MPG-Model (PDC09) PG-Model
Gas (Msm3/d)
Cond. (bcpd) Gas (Msm3/d) Cond. (bcpd)
Nov '15 13.31 18,663 13.30 19,951
Dec '15 12.94 17,718 13.33 19,566Export Line Validation
Month PG Model Rates (Msm3/d)
Monthly Potential (Msm3/d)
HP Sep Pres (Train #1)
HP Sep Pres (Train #2)
Export Sep (Bar)
July
11.50
11.809
97.54 97.83 9211.52 92.54 92.83 8711.53 89.54 89.83 8411.54 85.54 85.83 8011.56 81.54 81.83 7611.57 75.54 75.83 70
August
11.78
12.086
97.54 97.83 9211.79 92.54 92.83 8711.80 89.54 89.83 8411.82 85.54 85.83 8011.83 81.54 81.83 7611.85 75.54 75.83 70
September
11.84
12.208
97.54 97.83 9211.88 92.54 92.83 8711.90 89.54 89.83 8411.92 85.54 85.83 8011.95 81.54 81.83 7611.97 75.54 75.83 70
Other tasks
●Gas Lift Optimization
●Restart & ramp-up
●Workover & Infill Studies
Presentation title - Place and Country - Date Month Day Year 24
conclusion
●Flexibility for monthly production predictions, hence proper planning can be done.
●For unwanted constraints and/limitations to be spotted as the piping network is more representative than the MPG model.
●Well test analysis and validations are now possible and more automated via IFM
Presentation title - Place and Country - Date Month Day Year 25
Recommendations/improvements
●Update PROSPER Models
●A full field site survey can be conducted for accurate line dimensioning.
●An MBAL model can be integrated into the network which will account for reservoir pressure decline and thus unlocking the prediction setting.
●Compositional PVT descriptions should be provided as inputs to PROSPER. This will account for the interplay between the vapor and the liquid phases.
●During well test validation, deviation from model should be monitored so model update can be planned.
Presentation title - Place and Country - Date Month Day Year 26
THANK YOU
Presentation title - Place and Country - Date Month Day Year 27