Application of Stream Conversion Methods to Generate Compositional Streams From the Results of a Multi-Million Cell Black Oil Simulation Study of the Shaybah Field
- Bassam Al-Awami (Saudi Aramco) | K. Hemanthkumar (Saudi Aramco) | Fatema Al-Awami (Saudi Aramco) | Mansour MohammedAli (Saudi Aramco)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 5-8 October, Denver, Colorado
- Publication Date
- Document Type
- Conference Paper
- 2003. Society of Petroleum Engineers
- 5.8.8 Gas-condensate reservoirs, 5.1.5 Geologic Modeling, 5.2.2 Fluid Modeling, Equations of State, 5.5 Reservoir Simulation, 5.8.7 Carbonate Reservoir, 5.2 Fluid Characterization, 2 Well Completion, 4.3.4 Scale, 5.5.8 History Matching, 5.4.3 Gas Cycling, 4.1.2 Separation and Treating, 4.1.5 Processing Equipment, 5.6.9 Production Forecasting
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Detailed compositional simulation of a giant reservoir with many components is not practical. However, detailed multi-million cell black oil simulation of giant reservoirs is now quite feasible. In this work we apply an efficient method to generate the compositional rates from a black oil simulation of the giant Shaybah field.
In situations where the reservoir recovery mechanism is not dominated by compositional effects, an Equation of State (EOS) based stream conversion method can be used. This stream conversion method relies on the fact that when laboratory PVT data measured on available well stream compositions are used to generate the black oil PVT tables, some of the compositional information is lost. The stream conversion model retains this valuable compositional information and applies it to each producing well completion in the black oil simulation at every time step.
As proof of concept, the stream conversion method was applied to a black oil simulation and to a limited (eight-component) compositional simulation to generate a 17-component compositional stream and the results were compared to the respective full EOS compositional simulation for a relatively small sector (250,000 cells) of the giant Shaybah field. The compositional stream rates are in excellent agreement with the stream converted black oil results. As would be expected, the computational costs of using the EOS based compositional simulator (with 17 components) is in excess of 40 times the black oil simulation time for the small sector model. In general, the stream conversion method can be used to generate the dynamically varying compositional streams from any black oil simulation for use in the design and operation of surface facilities and in calculating the amounts of a certain cut (e.g. NGL) from the production streams.
Recent advances in parallel reservoir simulation technology1 has made it feasible for modeling the performance of giant hydrocarbon reservoirs using simulation models that retain the full geologic model resolution2,3,4,5. These multi-million cell simulation/geologic models when carefully conditioned to engineering data, lend themselves to rapid history match contrary to its size2,3,4. More importantly they are actively used in optimizing field development with more confidence and in day to day reservoir management3,4.
The above mentioned multi-million cell simulation models use a black oil treatment of the hydrocarbon fluids. Where compositional treatment of the hydrocarbon fluids is desired, a conventional full Equation-of-State (EOS) based compositional simulation of a giant hydrocarbon reservoir with many components is not yet practical. In this work we apply an efficient method6,7 to generate the compositional rates from a black oil simulation of the giant Shaybah field. The theoretical basis for this method is presented in detail in Reference 7. Herein we present only the pertinent information to elucidate its application in this work.
Stream Conversion Methods
Stream conversion method as the name suggests, is used to convert data from one form to another. Although the application of this method is general, here we apply this method to petroleum streams and more specifically to the conversion of surface volumetric rates of oil and gas from the black oil simulator into overall compositional rates for the desired number of components.
A full EOS fluid characterization is performed using all the laboratory PVT data that preferably covers the full operating range of pressures and compositions. This EOS is used to generate the black oil PVT tables and the Conversion Factors (split factors) from depletion experiments covering the whole operating pressure range in the reservoir with a high frequency of pressure points.
The conversion factors are used to convert the volumetric surface oil and gas rates from the black oil reservoir simulator into overall compositional stream rates at the desired number of components. The maximum number of components is usually equal to or less than the most detailed number of components in the fluid characterization.
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