Quantifying Geological Uncertainty for Complex Integrated Production Systems with Multiple Reservoirs and Production Networks
- Varun Pathak (Computer Modelling Group Ltd.) | Yousef Hamedi (Computer Modelling Group Ltd.) | Oscar Martinez (Computer Modelling Group Ltd.) | Stephen Vermeulen (Computer Modelling Group Ltd.) | Anjani Kumar (Computer Modelling Group Ltd.)
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- Society of Petroleum Engineers
- SPE Europec featured at 81st EAGE Conference and Exhibition, 3-6 June, London, England, UK
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- Uncertainty, Integrated Production System, Reservoir Simulation
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- 97 since 2007
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Integrated production systems models are very valuable for predicting the performance of complex systems containing multiple reservoirs and networks. In addition, the value of quantifying uncertainty in reservoirs and production systems is immense as it can build confidence in operational investments. However, traditionally it has been extremely tedious to incorporate uncertainty assessments in the context of integrated production systems modelling. This has been addressed in the current work with the help of a case study.
In the current work, a complex integrated production systems model is presented - from Pre-Salt carbonates reservoir offshore of Brazil. The model includes multiple reservoirs with unique fluid types and complex fluid blending in the production network, multiphase and thermal effects in flowlines and risers, gas separation, gas processing, gas compression, and re-injection for either pressure maintenance or for miscible EOR.
The operational strategies, well placement, and well and network configurations are often based on a single geological realization. With the case study presented in this paper, an integrated way of quantifying geological uncertainty has been presented. A new multi-user, multi-disciplinary tool was used for this study that removed any discontinuities and inconsistencies that typically occur in such projects when multiple standalone tools are used for individual tasks. When quantifying uncertainty on production, the dependence on a single realization was eliminated as uncertain parameters were identified and used for creating robust probabilistic forecasts. Probability distribution curves were generated to represent the uncertainty in overall production from this asset, and the risk associated with operational investments was minimized.
Typically, an end-to-end uncertainty assessment is missing from the traditional Integrated Modelling workflows. With this new approach, the challenge of achieving a truly integrated uncertainty assessment for integrated reservoir and production models has been addressed successfully.
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Obidike, P., Vlaardingerbroek, R. 2014. Integrated Production Forecasting for Business Planning. Paper SPE 172479-MS, presented at the SPE Nigeria Annual International Conference and Exhibition, Lagos, Nigeria, 5-7 August. http://dx.doi.org/10.2118/172479-MS
Pathak, V., Palaschak, C., Martinez, O., Hudson, J., Ita, J., Cotrim, H., Segundo, J. 2016. Solving the Challenges of Short and Long-Term Production Forecasting and Uncertainty Using a Fully-Coupled Implicit Integrated Production Modelling System. Paper SPE 181427 presented at the SPE Annual Technical Conference and Exhibition, Dubai, UAE, 26-28 September. https://doi.org/10.2118/181427-MS
Pathak, V., Palaschak, C., Kumar, A., Eastick, R., Schulz, R., Al-Hadhrami, A. 2017. Coupled Multi-Reservoir Multi-Network Production Optimization of an Onshore Middle-Eastern Reservoir with Sour Gas Reinjection for Miscible EOR. Paper SPE 188377 presented at the SPE Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE, 13-16 November. https://doi.org/10.2118/188377-MS
Stevenson, A. E., Wanorue, E. P., Okoro, E. C., Ozen, O. 2012. Lessons Learned from Building a Large Integrated Production Model for Offshore Assets in Nigeria. Paper SPE 159918, presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, USA, 8-10 October. http://dx.doi.org/10.2118/159918-MS