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The AAPG/Datapages Combined Publications Database
West Texas Geological Society
Abstract
Abstract: Defining (MPR) Minimum Productive Resistivity in a Complex 
Carbonate
Reservoir
Abstract
In complex carbonate reservoirs, the ability to predict production characteristics from log data is at times very difficult. This generally occurs because of the high degree of variability in pore geometric attributes found in most carbonate sections.
This paper discusses a method of predicting productive characteristics based on core based modeling using “Rock Type” identification. Factors controlling accumulation, distribution, producibility, and interpretation are related to the various rock types identified and algorithms are developed to define a MPR or Minimum Productive Resistivity for each rock type based on their petrophysical characteristics.
This model can be used in existing and subsequent wells in the field to identify pay, predict watercut, identify damaged zones, and predict lowermost pay. When statistically integrated with depositional environment models, field development strategies can be refined to maximize the field’s productive potential.
This paper will address various concepts necessary to predict petrophysical properties from logs and subsequent predictions of reservoir
performance.
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