Title
Real-time intelligent production monitoring of a North Sea asset
Author
TNO Industrie en Techniek
van der Linden, R.J.P.
Reijn, H.
Muñoz, E.
de Wolff, F.
Renes, W.
Publication year
2010
Abstract
The increasing complexity of natural gas extraction because of reducing reserves, complex behavior and more intricate contractual rules (due to liberalization of the West European energy markets) creates a need for more effective production efficiency. In order to deal with these challenges Wintershall is realizing a real-time monitoring system to optimize production for its (Southern) North Sea fields. As part of this initiative Wintershall and TNO Science and Industry are developing a model-based advisory tool that uses realtime production monitoring data to optimize production. This paper describes deployment of that tool to optimize production from reservoir to export of one of Wintershall's North Sea assets. The tool is being used for early event detection, intelligent condition monitoring and support of operators and engineers to make informed decisions that have direct added value to operations. The cases in the paper show the system's applicability for early detection of deviation of the measured productivity indices from the mass balance controlled dynamic model predictions and optimizing downtime of wells by mitigating effects of salt precipitation and optimal water washing procedures. Next to the case data, data preprocessing and validation, two key aspects of the development of the tool will be discussed. Firstly, we will discuss how (dynamic) models are used in model-based monitoring methods that provide the operator with crucial information about production. Secondly, the paper will present a framework that was used to create distinct levels of production monitoring functionality. Next to this, the paper will present application results and validation of the results obtained. E&P is nowadays getting more familiar with the potential benefits of integrated asset modeling, intelligent monitoring, production optimization and integrated operations - while at the same time it is experiencing many challenges associated with its successful implementation. We feel the work presented in this paper underlines these benefits and offers valuable lessons learned about a successful implementation case.
Subject
Added values
Complex behavior
Controlled dynamics
Data preprocessing
Early detection
Early event detection
Energy markets
Informed decision
Integrated Asset Modeling
Integrated Operations
Intelligent monitoring
Lessons learned
Mass balance
Mitigating effects
Model prediction
Model-based monitoring
Natural gas extraction
North Sea fields
Potential benefits
Production efficiency
Production monitoring
Production optimization
Productivity index
Real-time monitoring systems
Real-time production
Salt precipitation
Water washing
Petroleum reservoir evaluation
Precipitation (chemical)
Condition monitoring
High Tech Maritime and Offshore Systems
Industrial Innovation
Fluid Mechanics Chemistry & Energetics
FD - Fluid Dynamics
TS - Technical Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:dcec42c3-428d-4530-a9a0-55a1234d6ea7
TNO identifier
364405
ISBN
9781617382130
Source
SPE Intelligent Energy Conference and Exhibition 2010, 23-25 March 2010, Utrecht, Netherlands, 1 (1), 494-512
Series
SPE Intelligent Energy Conference and Exhibition 2010
Document type
conference paper