Automated workflows to monitor, diagnose, optimize, and perform multi-scenario forecasts of waterflooding in low-permeability carbonate reservoirs (a KwIDF Project)

P. Ranjan, G. A. Carvajal, H. Khan, R. Vellanki, L. Saputelli, F. Md Adan, M. Villamizar, S. Knabe, J. Rodriguez, A. Al-Jasmi, H. Nasr, B. Al-Saad, A. Pattak

Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva

Resumen

Surveillance and optimization of waterfloods in low-permeability carbonate reservoirs pose many challenges. Updating reservoir models is tedious and time-consuming, involving multiple data sources, model updates, and simulations. Technological challenges include large simulation models, waterflood complexities, and limited real-time data. Human challenges must be addressed as well, since waterflooding decisions affect multiple disciplines: reservoir engineers, production engineers, facilities engineers, IT, Operations, and asset managers. The 'languages' and interests of these disciplines are quite different; necessitating a workflow that satisfies the needs of all disciplines and integrates people, processes, and technology. This paper presents an innovative automated workflow to enable monitoring, diagnostics, forecasting, and optimization of waterflooding processes in days instead of weeks. This workflow seamlessly captures historical and monthly real-time data, updates simulation history, creates simulation restart prediction points, runs numerical simulations with optimization scenarios, selects the global optimum solution by scenario, and compares results so that multi-disciplinary teams can make reactive or proactive decisions to maximize short-term oil rates and long-term oil recovery, while honoring constraints on voidage replacement ratios, reservoir pressure, sweep efficiencies, production, and injection. The workflow automatically updates real-time production data in the simulator each month. A base case is run to recalculate waterflooding indicators. The process then starts a 24-month production forecast, running hundreds of scenarios under constrained optimization to achieve global optimization points. The optimizer changes control variables such as injection volumes, tubing head pressure, bottomhole pressure, and production allowable. The workflow ranks potential well decisions with important impacts on oil rate and water cut. The workflow uses an intuitive user interface incorporating the needs of multiple engineering and operations disciplines, and facilitates one common language while evaluating and optimizing waterfloods. This workflow has been implemented for a waterflood in a Middle East carbonate reservoir to help engineers evaluate the waterflood and make better, faster decisions.

Idioma originalInglés
Título de la publicación alojadaSociety of Petroleum Engineers - SPE Middle East Intelligent Energy Conference and Exhibition 2013
EditorialSociety of Petroleum Engineers
ISBN (versión impresa)9781613992760
EstadoPublicada - 2013
Publicado de forma externa
EventoSPE Middle East Intelligent Energy Conference and Exhibition 2013, IEME 2013 - Manama, Bahréin
Duración: 28 oct. 201330 oct. 2013

Serie de la publicación

NombreSociety of Petroleum Engineers - SPE Middle East Intelligent Energy Conference and Exhibition 2013

Conferencia

ConferenciaSPE Middle East Intelligent Energy Conference and Exhibition 2013, IEME 2013
País/TerritorioBahréin
CiudadManama
Período28/10/1330/10/13

Nota bibliográfica

Publisher Copyright:
Copyright 2013, Society of Petroleum Engineers.

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