Why can two reservoir rocks have the same porosity but completely different permeability? Because porosity tells us how much pore space exists, while permeability depends strongly on pore-throat geometry and connectivity. This is why identifying Hydraulic Units (HUs) is important for understanding how fluids actually flow through a reservoir.
The Problem with Porosity–Permeability Correlations
A common empirical relationship is: log(k) = aφ + b But the same porosity can correspond to very different permeability values. Why? Because flow is controlled by:
Pore-throat size
Grain size and sorting
Tortuosity
Surface area
Mineralogy and diagenesis
So, using porosity alone can hide important flow units.
What is a Hydraulic Unit?
A Hydraulic Unit is a reservoir volume where the properties controlling fluid flow are internally consistent. It links: Pore Geometry → Petrophysical Properties → Fluid Flow
The objective is to identify zones that behave similarly from a flow perspective.
The Flow Zone Indicator
The FZI is based on the mean hydraulic radius: rmh = Volume Open to Flow / Wetted Surface Area
The Reservoir Quality Index is: RQI (μm) = 0.0314 √(k / φe)
The normalized porosity index: φz = φe / (1 − φe)
Therefore: FZI = RQI / φz
FZI provides a practical measure of the hydraulic quality of the rock.
How Do We Identify Hydraulic Units?
Calculate:
Porosity
Permeability
RQI
φz
FZI
Then plot: RQI vs. φz on a log-log plot. Samples from the same Hydraulic Unit align along a line with slope = 1. Different trends indicate different Hydraulic Units.
Geology Drives FZI
Coarse-Grained Rocks:
Larger pore throats
Lower surface area
Higher FZI
Better hydraulic quality
Fine-Grained Rocks:
Smaller pore throats
Higher surface area
Lower FZI
Lower hydraulic quality
Clay-rich rocks, especially those with high smectite/illite content, generally show lower FZI.
FZI and Irreducible Water
An important relationship is: Higher FZI → Lower irreducible water saturation (Swr)
High-FZI rocks generally have larger, better-connected flow paths. Low-FZI rocks are more influenced by microporosity and smaller pore throats.
From Cores to Uncored Wells
FZI can be integrated with wireline logs to predict Hydraulic Units away from cored wells. Useful logs include:
Gamma Ray
Neutron-Density
Sonic
Deep Resistivity
Statistical methods such as Spearman's Rho can identify relationships between log responses and FZI, while Bayes' Theorem can help assign the most probable Hydraulic Unit at each depth.
Reference
https://onepetro.org/SPEATCE/proceedings-abstract/93SPE/93SPE/SPE-26436-MS/55155