Characterizing Reservoir Thermofacies by Using Distributed Temperature Sensing Measurements
A new distributed temperature sensing (DTS) interpretation method used
in horizontal injection wells characterizes static facies and highlights
independent features called thermofacies. This method allows for evaluating the
intrinsic dynamic responses of reservoir layers using a time-lapse approach,
taking into account the skin changes during the well's life and the possible
activation of structural elements such as faults and fractures.
Based on DTS temperature analysis acquired during a well's shut-in
period, this interpretation method provides two major results: the thermal
performance indicator (TPI) and the thermofacies. The TPI adds a dynamic
component to the static image of a well provided by openhole logs, even taking
into account structural elements and inflow performance evaluation. When DTS
inflow contributions are available, some independent facies (thermofacies) can
be defined, showing the dynamic behavior of a well in a standalone mode.
The main advantage of this interpretation method is to provide a tool
capable of driving field development to optimize the production while focusing
on those log facies characterized by the dynamic injection performance; not
only based on their static petrophysical evaluation.