Dear Jonathan. Your questions put focus on the permeability, for instance, at well-logs scale. But, as the same time, you are talking about reservoir-scale. So, my recommendation could be: you will need to go to seismic data! Deven more in case that your clastic rocks are at a relative shallow depth, the Ostrander's theory could help you a lot. Lets follow the seismic step by step elastic inversion with your rock properties scenario such as framework. Give us a little more details to us for help you from geophysicists' sidewalk, and take the better tackleof your questions. MarioEmilio Sigismondi

Thank you Mario for answer. Will be in touch.

NMR is strong measurement tool to identify the petrophysical properties of porous medium rocks with accurately. You can identify these mentioned parameters by using NMR . There are a lot of references as well presented the method to calculate them.

Based on a little research i have done myself, NMR seems to be a very feasible technique that can be employed to determine petrophysical properties especially of unconventional resources such as coal but wasnt sure of clastics. Thanks Muhammed for your answer. I am grateful.

Jonathan,

the NMR technique in essence measures pore size - not pore connectivity. Consequently deriving permeability from NMR measurements assumes that you can reliably estimate pore connectivity from the pore size distribution. This is commonly valid in clastic reservoirs but rarely so in carbonate reservoirs.

In the North Sea region well productivity ( calculated from NMR derived permeabilities) has been succesfully predicted. This allowed foregoing well tests ( very expensive and for environmental reasons better avoided if at all possible). However, in the North Sea region the NMR responses were well calibrated based on core and test data.

In carbonates I can’t see the NMR technique working in let’s say nine out of ten cases as the pore systems are much more complex than in clastics

Regards,

Evert

@ Van de Graaff. Your answer is much elaborate and very well explained. I must admit it will really help in what next step to take in my next research. I am very grateful. Thanks