Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Recognizing Water-Flooded Zones Using the Maximum Subordinate Degree Method
verfasst von : Xiaoyan Tang, Zhidi Liu
Erschienen in: Advanced Research on Computer Science and Information Engineering
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In the later periods of oilfield development, the effective recognition of water-flooded zones is especially important to research the remained oil distribution and the adjustment development plan. After the basic principle of the maximum subordinate degree method is in detail introduced, the recognition parameters are selected according to the logging characteristic of water-flooded zones in the research work area, and then the model of recognizing water-flooded zones is established. Based on this model, the water-flooded zones in the work area are distinguished. The recognition results show that this method can accurately distinguish water-flooded zones. The recognition rate can satisfy the precision request of water-flooded zones in oilfield development.