Naum Ruhovets, Rama Rau, Mathew Samuel, Harry Smith, Jr., and Mike Smith
Halliburton Logging Services, Inc., Houston, Texas
ABSTRACT
Reservoirs with thin laminations can be more accurately evaluated by using logging tools with inherently better vertical resolution, by employing enhanced vertical resolution input processing methods, and by incorporating interpretation models that properly utilize log inputs with different vertical resolutions and reconstruct all outputs with high vertical resolution.
The paper discusses a specific high resolution interpretation model and provides comparative analyses of how model outputs are affected by the vertical resolution of its input logs and by the reservoir type. Three field examples are provided. Increases in predicted hydrocarbons were noted in two of these examples when the input log resolution was increased. In these two examples, the observed increases were confined to a number of isolated thin beds. In the third field example, significant decreases in predicted hydrocarbons were observed when high resolution input data were used; the reservoir in this case appears to be a classic thinly bedded sand-shale sequence extending over a 27 meter interval.