Original Article |
2011, Vol.33, No.2, pp. 237-246
Characterization of reservoir fractures using conventional geophysical logging
Paitoon Laongsakul and Helmut Dürrast
pp. 237 - 246
Abstract
In hydrocarbon exploration fractures play an important role as possible pathways for the hydrocarbon flow and by this enhancing the overall formation’s permeability. Advanced logging methods for fracture analysis, like the borehole acoustic televiewer and Formation Microscanner (FMS) are available, but these are additional and expensive tools. However, open and with water or hydrocarbon filled fractures are also sensitive to electrical and other conventional logging methods. For this study conventional logging data (electric, seismic, etc) were available plus additional fracture information from FMS. Taking into account the borehole environment the results show that the micro-spherically focused log indicates fractures by showing low resistivity spikes opposite open fractures, and high resistivity spikes opposite sealed ones. Compressional and shear wave velocities are reduced when passing trough the fracture zone, which are assumed to be more or less perpendicular to borehole axis. The photoelectric absorption curve exhibit a very sharp peak in front of a fracture filled with barite loaded mud cake. The density log shows low density spikes that are not seen by the neutron log, usually where fractures, large vugs, or caverns exist. Borehole breakouts can cause a similar effect on the logging response than fractures, but fractures are often present when this occurs. The fracture index calculation by using threshold and input weight was calculated and there was in general a good agreement with the fracture data from FMS especially in fracture zones, which mainly contribute to the hydraulic system of the reservoir. Finally, the overall results from this study using one well are promising, however further research in the combination of different tools for fracture identification is recommended as well as the use of core for further validation