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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
– Pwf
2
)/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 Line
GAS 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;
Wells
Actual 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 MODEL
11.807 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 Estimated
Gas (Mscfd) Condensate (bbls) Gas (Mscfd) Condensate (bbls)
6.789 5,655 6.105 5,648
Well Head Pressure / Status
Actual (WHP/Rates) Model (WHP/Rates)
IBW 014/4 106.8 / 0.621 112 / 0.838
IBW 018/5 S/I 152 / 0.838
IBW 017 105.3 / 0.975 120 / 1.120
OB 128/5 S/I S/I
IBW 015 126 / 1.652 158 / 1.543
OB 126/5 S/I S/I
IBW 019/5G S/I S/I
IBW 020/5 S/I S/I
IBW 02B S/I S/I
IBW 007/6 S/I 136 / 0.199
OB 125/3 S/I S/I
OB 129 175.3 / 776 211 / 0.340
Gas Cap Wells (Msm3/d)
OB122 1.419 1.32
OB105 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 - 8.29
14,000 10.850 7.60 - 10.08
16,000 11.239 8.76 - 10.27
18,000 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 19,566
Export 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 92
11.52 92.54 92.83 87
11.53 89.54 89.83 84
11.54 85.54 85.83 80
11.56 81.54 81.83 76
11.57 75.54 75.83 70
August
11.78
12.086
97.54 97.83 92
11.79 92.54 92.83 87
11.80 89.54 89.83 84
11.82 85.54 85.83 80
11.83 81.54 81.83 76
11.85 75.54 75.83 70
September
11.84
12.208
97.54 97.83 92
11.88 92.54 92.83 87
11.90 89.54 89.83 84
11.92 85.54 85.83 80
11.95 81.54 81.83 76
11.97 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

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Use of Integrated Modeling on Niger Delta Field - MICHAEL OWARUME

  • 1. Use of Integrated Modeling on AN Onshore Niger Delta Field
  • 2. CONTENTS Presentation title - Place and Country - Date Month Day Year 2 ● Introduction & Overview ● Objective ● Methodology ● Results ● Other tasks ● Conclusions ● Recommendations
  • 3. 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)
  • 4. Introduction & Overview Presentation title - Place and Country - Date Month Day Year 4 High resistivity, Low Gamma ray signatures
  • 5. Introduction & Overview Presentation title - Place and Country - Date Month Day Year 5 ● Location Map of the OML fields showing major delineating faults
  • 6. 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
  • 7. Methodology Presentation title - Place and Country - Date Month Day Year 7
  • 8. 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
  • 9. METHODOLOGY – VERTICAL LIFT Presentation title - Place and Country - Date Month Day Year 9 ● Model Update -FBHP ; Tubing flow behavior • FBHP extraction
  • 10. 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 – Pwf 2 )/Qg Vs Qg - Slope = Non-Darcy, Intercept = Darcy
  • 11. METHODOLOGY – INFLOW PERFORMANCE Presentation title - Place and Country - Date Month Day Year 11
  • 12. 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
  • 13. METHODOLOGY – SURFACE NETWORK REPRESENTATION Presentation title - Place and Country - Date Month Day Year 13 Block flow diagram Simplified PFD Marked-up P&ID’s
  • 14. METHODOLOGY – SURFACE NETWORK REPRESENTATION Presentation title - Place and Country - Date Month Day Year 14 Initial GAP representation TVD Considerations
  • 15. 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 Line GAS cap wells
  • 16. 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)
  • 17. 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%
  • 18. 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; Wells Actual 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
  • 19. 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 MODEL 11.807 12.795 17,316 18,636
  • 20. 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 Estimated Gas (Mscfd) Condensate (bbls) Gas (Mscfd) Condensate (bbls) 6.789 5,655 6.105 5,648 Well Head Pressure / Status Actual (WHP/Rates) Model (WHP/Rates) IBW 014/4 106.8 / 0.621 112 / 0.838 IBW 018/5 S/I 152 / 0.838 IBW 017 105.3 / 0.975 120 / 1.120 OB 128/5 S/I S/I IBW 015 126 / 1.652 158 / 1.543 OB 126/5 S/I S/I IBW 019/5G S/I S/I IBW 020/5 S/I S/I IBW 02B S/I S/I IBW 007/6 S/I 136 / 0.199 OB 125/3 S/I S/I OB 129 175.3 / 776 211 / 0.340 Gas Cap Wells (Msm3/d) OB122 1.419 1.32 OB105 1.526 S/I
  • 21. 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 - 8.29 14,000 10.850 7.60 - 10.08 16,000 11.239 8.76 - 10.27 18,000 11.899 10.18 - 11.51
  • 22. 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
  • 23. 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 19,566 Export 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 92 11.52 92.54 92.83 87 11.53 89.54 89.83 84 11.54 85.54 85.83 80 11.56 81.54 81.83 76 11.57 75.54 75.83 70 August 11.78 12.086 97.54 97.83 92 11.79 92.54 92.83 87 11.80 89.54 89.83 84 11.82 85.54 85.83 80 11.83 81.54 81.83 76 11.85 75.54 75.83 70 September 11.84 12.208 97.54 97.83 92 11.88 92.54 92.83 87 11.90 89.54 89.83 84 11.92 85.54 85.83 80 11.95 81.54 81.83 76 11.97 75.54 75.83 70
  • 24. Other tasks ● Gas Lift Optimization ● Restart & ramp-up ● Workover & Infill Studies Presentation title - Place and Country - Date Month Day Year 24
  • 25. 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
  • 26. 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
  • 27. THANK YOU Presentation title - Place and Country - Date Month Day Year 27

Notes de l'éditeur

  1. Source Rock and Oil Kitchen; It has been assumed that the most effective source rocks are the marine shales and the shales interbedded with the paraUc sandstones, particularly in the lower part of the parahc sequence where the shales are at least volumetrically more important. Where the "kitchen" lies well below the top of the continuous shales, any oil generated is considered to have only a remote chance of finding its way into the overlying reservoirs, as the faults at depth within the shales are not considered to provide effective migration paths. It is of importance, therefore, to know the facies at and directly above the "kitchen."