Real Time Optimization of Gas Lifted Asset using Integrated Production Model

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1 32 nd Gas-Lift Workshop The Hague, The Netherlands February 2-6, 2009 Real Time Optimization of Gas Lifted Asset using Integrated Production Model Ashok Dixit, Product Line Manager Weatherford International, Houston This presentation is the property of the author(s) and his/her/their company(ies). It may not be used for any purpose other than viewing by Workshop attendees without the expressed written permission of the author(s).

2 Outline Integrated Production Model Challenges in Optimization of Gas Lifted Asset using Integrated Model Adoption of Integrated Model for Real Time Optimization Real Time Optimization Solution Conclusions 2009 Gas-Lift Workshop 2

3 Production Optimization Single Well Optimization Well Modeling Software Nodal Analysis Gas Lift Design and Analysis Full Field Optimization Integrated Production Model Reservoir Well Surface Facilities 2009 Gas-Lift Workshop 3

4 Pressure, PSI A Qoil, STB/day Naturally Flowing Well Gas Lifted Well Oil rate, STB/day THP = 100 psia THP = 200 psia THP = 300 psia Qgi, MMScf/day Integrated Production Model Well Modeling Application Reservoir Pressure Gas Oil Ratio (GOR) Water-cut IPR Data Reservoir Surface Network Application

5 Challenges in Field Optimization Well Performance Data Naturally Flowing Well Single Curve => Q oil vs THP Gas Lifted Well Performance Surface Q oil vs Q gi for range of Tubing Head Pressures Casing Head Pressure Corresponding to Q gi Advanced Gas Valve Modeling (AGVM) Minimum Kick off Rate 2009 Gas-Lift Workshop 5

6 Challenges in Field Optimization 2009 Gas-Lift Workshop 6

7 Challenges in Field Optimization Availability of Lift Gas Quantity Separator Train Configuration Pressure Number of Stages Pressure and Temperature Compressor Station Configuration Number of Compressor Stages Surge and Stonewall limits Turbine NHV of Gas 2009 Gas-Lift Workshop 7

8 Challenges in Field Optimization 2009 Gas-Lift Workshop 8

9 Challenges in Field Optimization Optimizer Objective : Maximize Revenue Maximize Production and Minimize Cost Optimum Distribution of Available Lift Gas Compressor Performance Minimize Recycled Gas between Compressor Stages Solver Closed Loop Optimization Recycle Loops Simultaneous Simulation and Optimization 2009 Gas-Lift Workshop 9

10 Optimization Methodology Tune Individual Well Models Production Well Test Data, Flowing Gradient Survey IPR Model Flow Correlation Tune Surface Network Model Production Data, Manifold Pressures and Temperatures, Separator Pressures and Temperatures Choke Model Flow Correlation Heat Transfer Coefficient Separator Entrainment Factors 2009 Gas-Lift Workshop 10

11 Optimization Scenarios Gas Lift Allocation Bottlenecks in Production / Injection Network Optimum Separator Pressures and Temperatures Optimum Flow in Parallel Flowline Various What-if Scenarios SPE : Presented in SPE AP Conf in Sept Gas-Lift Workshop 11

12 Real Time Production Optimization Morning Meeting Discussion about Overall Production Production Related Issues Well and Field Optimization Regular Use and Maintenance of Various Spreadsheets Best Utilization of Real Time Data Engineers using applications in a standalone mode for off line optimization Limited on-line information Solution?? 12

13 Real Time Optimization Application : Requirements Tune Well and Surface Network Model Automatically Linked Historian and SCADA Visualization of Real Time Data For Trending and Identifying Anomalies Analysis and Utilization of Real Time Data Using Engineering Application Field Optimization & Management, Forecasting Web Application Results Available to Experts Anywhere in the World 2009 Gas-Lift Workshop 13

14 Online Deployment Data Historical Data Real Time Solution Completion Production Reservoir SCADA Historian Expired Data Data Real-time Data Conditions, Status Production Data Management Targets Network Model and Optimizer Well Perf Curves Production Tests Well Models Data SCADA Server Optimized Set-points Economic Parameters Pres, GOR, BS&W Pres, kh, Skin Results Reservoir Models Review, Approval Pressure Transient Analysis Data LAN/WAN/Internet/Intranet Corporate Database Engineer PCs

15 Well Test Report : Last 24 Hours 2009 Gas-Lift Workshop 15

16 Detailed Well Test Report 2009 Gas-Lift Workshop 16

17 Location of Well Test on Well Performance Surface 2009 Gas-Lift Workshop 17

18 Trending of Tuning Parameters 2009 Gas-Lift Workshop 18

19 IPR Curve with Recent Well Test 2009 Gas-Lift Workshop 19

20 Tracking of IPR Curve 2009 Gas-Lift Workshop 20

21 Daily Monitoring using Real Time Data 2009 Gas-Lift Workshop 21

22 Production Target Monitoring 2009 Gas-Lift Workshop 22

23 Visualization of Optimization Results 2009 Gas-Lift Workshop 23

24 Conclusions The typical optimization methodology for gas lifted well / asset is comprised of Single Well Optimization Full Field Optimization using Integrated Model Real Time Optimization using Online Solution The online solution helps in reducing manual task by facilitating automatic tuning of integrated model. The tuned integrated model could be employed for production allocation, target monitoring, optimum choke and separator settings, etc Gas-Lift Workshop 24

25 Copyright Rights to this presentation are owned by the company(ies) and/or author(s) listed on the title page. By submitting this presentation to the Gas-Lift Workshop, they grant to the Workshop, the Artificial Lift Research and Development Council (ALRDC), and the American Society of Mechanical Engineers (ASME), rights to: Display the presentation at the Workshop. Place it on the web site, with access to the site to be as directed by the Workshop Steering Committee. Place it on a CD for distribution and/or sale as directed by the Workshop Steering Committee. Other uses of this presentation are prohibited without the expressed written permission of the company(ies) and/or author(s) who own it and the Workshop Steering Committee Gas-Lift Workshop 25

26 Disclaimer The following disclaimer shall be included as the last page of a Technical Presentation or Continuing Education Course. A similar disclaimer is included on the front page of the Gas-Lift Workshop Web Site. The Artificial Lift Research and Development Council and its officers and trustees, and the Gas-Lift Workshop Steering Committee members, and their supporting organizations and companies (here-inafter referred to as the Sponsoring Organizations), and the author(s) of this Technical Presentation or Continuing Education Training Course and their company(ies), provide this presentation and/or training material at the Gas-Lift Workshop "as is" without any warranty of any kind, express or implied, as to the accuracy of the information or the products or services referred to by any presenter (in so far as such warranties may be excluded under any relevant law) and these members and their companies will not be liable for unlawful actions and any losses or damage that may result from use of any presentation as a consequence of any inaccuracies in, or any omission from, the information which therein may be contained. The views, opinions, and conclusions expressed in these presentations and/or training materials are those of the author and not necessarily those of the Sponsoring Organizations. The author is solely responsible for the content of the materials. The Sponsoring Organizations cannot and do not warrant the accuracy of these documents beyond the source documents, although we do make every attempt to work from authoritative sources. The Sponsoring Organizations provide these presentations and/or training materials as a service. The Sponsoring Organizations make no representations or warranties, express or implied, with respect to the presentations and/or training materials, or any part thereof, including any warrantees of title, noninfringement of copyright or patent rights of others, merchantability, or fitness or suitability for any purpose Gas-Lift Workshop 26