Integrated Asset Modeling Through Multi-Reservoir Optimization of Offshore Fields using Next-Generation Reservoir Simulators
- Cenk Temizel (Aera Energy) | Aditya Tiwari (Pioneer Exploration LLC)
- Document ID
- Offshore Technology Conference
- Offshore Technology Conference, 2-5 May, Houston, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2016. Offshore Technology Conference
- 7.1 Asset and Portfolio Management, 5 Reservoir Desciption & Dynamics, 4 Facilities Design, Construction and Operation, 3.2 Well Operations, Optimization and Stimulation, 3 Production and Well Operations, 3.2.9 Lifecycle Management and Planning, 7 Management and Information, 7.1.7 Intergated Asset Management, 4.1.2 Separation and Treating, 4.1 Processing Systems and Design, 5.5 Reservoir Simulation, 7.1.5 Portfolio Analysis, Management and Optimization
- next-generation reservoir simulators, IAM, optimization
- 0 in the last 30 days
- 178 since 2007
- Show more detail
- View rights & permissions
Integrated asset modeling (IAM) offers the oil industry several benefits. The next-generation reservoir simulators help achieve faster runtimes, insight into interaction between various components of a development, and can be used as an effective tool in detecting bottlenecks in a production system as well as a constant and more effective communication tool between various departments. IAM provides significant opportunities for optimization of very large or complex infrastructures and life-of-field analysis of production optimization scenarios.
Simultaneous modeling of surface and subsurface components helps reduce time and enhances efficiency during the decision-making process which eliminates the requirement for tedious, time-consuming work and iterations between separate solutions of reservoir and surface networks. Beyond this convenience, this technology makes it possible to reach more robust results more quickly using surface-subsurface coupling. The objective of this study is to outline the advantages and the challenges in using next-generation simulators on simulation of multiple reservoirs in integrated asset management.
Simultaneous simulation of multiple reservoirs adds another dimension of complexity to the process of integrated asset modeling. Several sub-reservoir models can be simulated simultaneously in large fields comprising sub-reservoirs with complex surface systems, which could otherwise become very tedious to handle. In this study, a next-generation reservoir simulator is coupled with an optimization and uncertainty tool that is used to optimize the net present value of the entire asset. Several constraints and bottlenecks in such a large system exist, all connected to one another. IAM proves useful in debottlenecking to increase efficiency of the thorough system. The strengths and difficulties associated with simultaneous simulation and optimization of multiple reservoirs are compared to the more conventional way of simulating the assets separately, thus illustrating the benefits of using next-generation reservoir simulators during optimization of multiple reservoirs.
The results show that simultaneous solution of the surface-subsurface coupling gives significantly faster results than that of a system that consists of separate solution of surface and subsurface. The speed difference becomes more significant when the number of reservoirs simulated is more than one. This study outlines the workflow in setting up the model, the CPU time for each component of the simulation, the explanation of each important item in this process to illustrate the incremental benefits of use of next-generation reservoir simulators in simulating multiple reservoirs with surface facilities taken into account.
Although the use of next-generation simulators are becoming more common, solid examples that illustrate the benefits of simultaneous simulation of multiple reservoirs with surface facilities under several different constraints like this study are important to prove the use of such tools where it is more convenient to carry out the optimization in a system that handles decision parameters and constraints simultaneously.
|File Size||2 MB||Number of Pages||13|
Fernando Pérez, Edwin Tillero, Ender Pérez, and Pedro NiñoPDVSA; José Rojas, Juan Araujo, Milciades Marrocchi, Marisabel Montero, and Maikely Piña, Schlumberger. "An Innovative Integrated Asset Modeling for an Offshore-Onshore Field Development. Tomoporo Field Case" 2012. Paper SPE 157556 presented at the International Production and Operations Conference and Exhibition held in Doha Qatar, 14&-16 May 2012.
Perez, F. J., Tillero, E., Perez, E., Nino, P., Rojas, J. A., Araujo, J. C., Pia, M. (2012, January 1). An Innovative Integrated Asset Modeling for an Offshore-Onshore Field Development. Tomoporo Field Case. Society of Petroleum Engineers. doi:10.2118/157556-MS
Roadifer, R. D., Sauve, R. E., Torrens, R., Mead, H. W., Pysz, N. P., Uldrich, D. O., & Eiben, T. (2012, January 1). Integrated Asset Modeling for Reservoir Management of a Miscible WAG Development on Alaska. Society of Petroleum Engineers. doi:10.2118/158497-MS
Leibovici, C.F., Barker, J.W., and Waché, D. 2000. Method for Delumping the Results of Compositional Reservoir Simulation. SPE J. 5 (2):227&-235. SPE-64001-PA. Doi: 10.2118/64001-PA.
Leibovici, C.F., Stenby, E.H., and Knudsen, K. 1996. A consistent procedure for pseudo-component delumping. Fluid Phase Equilibria17 (1&-2): 225&-232. Doi: 10.1016/0378-3812(95)02957-5.
Litvak, M.L., Clark, A.J., Fairchild, J.W., Fossum, M.P., MacDonald, C.J. and Wood, A.R.O.: "Integration of Prudhoe Bay Surface Pipeline Network and Full Field Reservoir Models, " paper SPE 38885 presented at the SPE Annual Technical Conference and Exhibition held in San Antonio, TX, 5&-8 Oct., 1997.
"Integrated Asset Modelling." Wikipedia. Wikimedia Foundation, n.d. Web. 28 Feb. 2016. <https://en.wikipedia.org/wiki/Integrated_asset_modelling>