Uncertainty Analysis of Discrete Fracture Network Modeling

فاقد چكيده

Reservoir simulation has become the industry standard for reservoir management. It is now used in all phases of field development in the oil and gas industry. The full field reservoir models that have become the major source of information and prediction for decision making are continuously updated and major fields now have several versions of their model with each new version being a major improvement over the previous one. The newer versions have the latest information (geologic, geophysical and petrophysical measurements, interpretations and calculations based on new logs, seismic data, injection and productions, etc.) incorporated in them along with adjustments that usually are the result of single-well or multi-well history matching. A typical fractured reservoir model consists of hundreds of thousands of fracture networks and the need for being able to create a model which is more accurate in representing specific fracture parameters becomes more pronounced. Discrete Fracture Network (DFN) are the natural solution to address this necessity. The DFN approach can be defined as the analysis and modeling which explicitly incorporates the geometry and properties of discrete features as a central component controlling flow and transport. Using DFN, we can include more information from the field in the simulation of fractured reservoirs. Hence, the resulted simulation model, which is based on the DFN model, will be more predictive for the future studies. This paper presents a unified approach for development of DFNs using PETREL software. An example for developing a DFN for an oil field in the Middle East is presented and the results of the analysis using the DFN for this field is discussed. In this example application DFN is used in order to analyze the impact of the uncertainties associated with several input parameters into the full field model via Dual porosity model simulation for fractured reservoir in ECLIPSE.