oa Using Dynamic Data to Estimate Fracture Permeability in a Carbonate Brownfield

This paper aims to present the fracture permeability aspect of an integrated workflow whose goal was to predict reservoir permeability in a carbonate brownfield using available dynamic data. The dynamic data was used to estimate a permeability height product (kh) which was tested in dynamic simulations, where both pressure match and production index match drove the selection of a suitable fracture permeability distribution. Well tests indicated reservoir permeability >> matrix in a significant number of tests. Fractures are assumed responsible for the excess permeability after a basic comparison of the Fracture Production Index (Reiss, 1980) where khwelltest/khmatrix values indicated a fracture signature in some wells. Our analysis of the data led us to interepret that the production data could be reasonably matched with a model where 33% of the reservoir had an excess fracture permeability of 372 mD +/- a standard deviation of 626 mD.