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Tight sand reservoir is usually characterized by high heterogeneity and complex pore structure, which makes
the permeability calculation a big challenge and leads to difficulties in reservoir classification and productivity evaluation.
First, five different Hydraulic Flow Units and respective Porosity-permeability relations were built based on core dataset
from Kekeya block, Tuha Basin; and then with BP Neutron Network method, flow unit was classified for un-cored intervals
using normalized logging data, and permeability was calculated accordingly. This improved the accuracy of permeability
calculation and helped a lot on un-cored reservoir evaluation. In addition, based on porosity, permeability and flow
unit type, a new reservoir grading chart was set up by incorporating the testing or production data, which provides important
guidance for productivity prediction and reservoir development.