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Fractures Clusterization Applying K-means Method Using Microimage Log Data for Fractures CharacterizationNormal access

Authors: G. Burtsev, P.A. Kharitontseva and I.A. Uzhegova
Event name: Saint Petersburg 2018
Session: Building Models of Reservoir Processes and Systems
Publication date: 09 April 2018
DOI: 10.3997/2214-4609.201800138
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 741.47Kb )
Price: € 20

Summary:
The purpose of the work is the microimagers log data analysis. Calculations were performed in Mathcad, Statistica and Excel software packages. Nelson's fractures classification was used for the completion of the fractures clusterization. Nelson's fractures types distribution along the wellbore was acquired. The clusterization was done using k-means algorithm, whose description was also provided. The methods used in the text can be used in the construction of fractured reservoirs geological models and for the considering of permeability anisotropy during reservoir simulation and well placement scheme design. Nelson's fractures clusterization can help with the determination of reservoir dominate fractures type.


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