Raising Reservoir - A Techno-Managerial Approach to Reservoir Management
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The document discusses the importance of effective reservoir management in the petroleum industry, emphasizing a team approach that integrates geosciences and engineering personnel. It highlights the necessity of utilizing technological advancements and predictive control models to enhance oil recovery while minimizing costs. The conclusion underscores that a self-adaptive reservoir management strategy can significantly improve economic outcomes in hydrocarbon recovery.
![Self Learning Reservoir Management
[ qok qwk qgk ] = [ 1 p-k pwfk (pwfk)2] Matrix3x3 [ a, b, c]
[(p^)k] = [ d0 d1 d2 d3 d4 d5 ][ 1 ṕk-1 q0k-1 qwk-1 qgk-1 qwik-1 ]T
Parametric
Fluid Flow
Modeling
NPV
Optimization
Model
Predictive
Control
Sunday, October 07, 2012 Neelendra Nath, PetroFirst 11](https://image.slidesharecdn.com/reservoirmanagement-raisingreservoir-121007080042-phpapp01/85/Raising-Reservoir-A-Techno-Managerial-Approach-to-Reservoir-Management-11-320.jpg)
Raising Reservoir - A Techno-Managerial Approach to Reservoir Management
- 1. PetroFirst Raising Reservoirs : A Techno-Managerial Approach Sunday, October 07, 2012 Neelendra Nath, PetroFirst 1
- 2. Content Introduction Reservoir Management – Team & Process A Technological Approach Self Learning Reservoir Management MPC & NPV Optimization Case Study Conclusion Sunday, October 07, 2012 Neelendra Nath, PetroFirst 2
- 3. Did you know…? “ About 70% of crude oil production on the global scale comes from matured fields more than 30 years old and recovery from these fields are only 30-40%. Further, Reserve depletion from producing assets have always outpaced the reserve accretion from new fields. ” Sunday, October 07, 2012 Neelendra Nath, PetroFirst 3
- 4. Reservoir Management Data • Geological • Geophysical • Engineering Tools • Financial • Seismic Interpretation Technology • Tomography • Data Acquisition • Seismic • Logging/Coring • Geologic • Completion & Facilities Integration • • Geostatistics Geologic Modeling • Engineering • Pressure Transient • Drilling & Completion • Fracturing • Enhanced Oil Recovery • Reservoir Simulation • Computer • Enhanced Oil Recovery People • Computer Software & Hardware • Management • Geoscientists • Engineers • Land/Legal • Field • Financial Sunday, October 07, 2012 Neelendra Nath, PetroFirst 4
- 5. Reservoir Management Objectives Decreasing Risk Increasing Production Maximizing Recovery Minimize Capital Expenditure Minimizing Operating Cost Maximize Profitability Sunday, October 07, 2012 Neelendra Nath, PetroFirst 5
- 6. Management Team Management Geology & Legal Geophysics Reservoir Land Engineering Economics Environment Reservoir Management Team Drilling Engineering Services Design & Construction Engineering Research & Development Production & Operation Engineering Gas & Chemical Engineering Sunday, October 07, 2012 Neelendra Nath, PetroFirst 6
- 7. Management Team Sunday, October 07, 2012 Neelendra Nath, PetroFirst 7
- 8. Management Process Setting Strategy Developing Plan Implementing Revising Monitoring Evaluating Completing Sunday, October 07, 2012 Neelendra Nath, PetroFirst 8
- 9. Management Process Revising Sunday, October 07, 2012 Neelendra Nath, PetroFirst 9
- 10. A Technical Approach Why is it required ? How it works? Sunday, October 07, 2012 Neelendra Nath, PetroFirst 10
- 11. Self Learning Reservoir Management [ qok qwk qgk ] = [ 1 p-k pwfk (pwfk)2] Matrix3x3 [ a, b, c] [(p^)k] = [ d0 d1 d2 d3 d4 d5 ][ 1 ṕk-1 q0k-1 qwk-1 qgk-1 qwik-1 ]T Parametric Fluid Flow Modeling NPV Optimization Model Predictive Control Sunday, October 07, 2012 Neelendra Nath, PetroFirst 11
- 12. Model Predictive Control Process model for Online Computation of Class of Computer online prediction optimization of a appropriate control Control Algorithm of future plant cost objective over action behaviour a future horizon ỹqk+t|k = ∑(i=1 to nU)∑(j=1 to p)(hijq)( uik-j+t) + dqk|k Sunday, October 07, 2012 Neelendra Nath, PetroFirst 12
- 13. NPV Optimization Linear Programming optimization routine is use to find optimum solution. Assumption : Future reservoir behavior is described by current model(Certainty Equivalent Principle) Sunday, October 07, 2012 Neelendra Nath, PetroFirst 13
- 14. Conclusion 1. A team approach based on integration of geosciences and engineering personnel, tools, technology and data is essential for sound reservoir management practice. 2. A better understanding of integrated approach and technology can be beneficial to geoscientists, engineers, field operations staff and managers. 3. Technological advances and computer power are providing the tools to manage reservoir better to maximize economic hydrocarbon recovery. 4. A multi-level self adaptive reservoir management strategy work wonders in term of increasing recovery factor and optimizing economics. Sunday, October 07, 2012 Neelendra Nath, PetroFirst 14
- 15. Reference & Further Reading • Thakur, G.C.: “Reservoir Management- A Synergistic Approach.” paper SPE 20138 presented at the 1990 SPE Permian Basin Oil and Gas Recovery Conference, Midland, March 8-9 • Wiggins, M.L.: A Manual of Petroleum Reservoir Management, Crisman Institute for Petroleum Management, Dept. Of Petroleum Engineering, Texas A& M U.(May 1989) • Satter, A.: “ Reservoir Management Training- An Integrated Approach.” paper SPE 20752 presented at the 1990 SPE ATCE, New Orleans, Sept. 23-26 • Thakur, G.C.: “Implementation of Reservoir Management Programme.” paper SPE 20748 presented at the 1990 SPE ATCE, New Orleans, Sept. 23-26 • Satter, A. et al.: “ Integrated Reservoir management,” paper SPE 22350 presented at the 1992 SPE International Meeting on Petroleum Engineering, Beijing, China, March 24-27 Sunday, October 07, 2012 Neelendra Nath, PetroFirst 15