Investigation of permeability, formation factor, and porosity relationships for Mesaverde tight gas sandstones using random network models

Abstract

Replicating the pore topology/structure of tight gas reservoirs is essential to model fluid flow through such porous media. Constitutive relationships between the macroscopic properties of the medium can often help with such modeling efforts. Permeability and formation factor are rock properties providing useful information for assessing the potential of hydrocarbon recovery. Pore topology/structure and pore-throat radius distributions are the major factors having influence on permeability and formation factor estimation. A stochastic random generation algorithm is employed to study the effect of pore structure and geometries on the relationships of formation factor-permeability and permeability-porosity on physically realistic 3D random networks. These relationships are derived by constructing two sets of physically equivalent pore networks of tight porous media and are validated using experimental measurements of Mesaverde tight gas sandstones. The first set of networks were based on Berea sand network properties, which are then reduced and derived using a Weibull truncated equation to produce physically sound tight porous media. The second equivalent networks are constructed according to experimentally derived throat size distributions obtained from ambient mercury injection capillary pressure for 17 selected core samples from three Mesaverde tight gas sandstones basins in the U.S. Imperial college Pore-Scale Modeling software is used to model the single liquid flow properties through constructed equivalent networks. The estimated porosity, absolute liquid permeability and formation factor of the constructed physically equivalent networks are in good agreement with measured data obtained by Byrnes et al.(Analysis of critical permeability, capillary and electrical properties for Mesaverde tight gas sandstones from Western US basins: final scientific. Technical report submitted to DOE and NETL 355, 2009). However, a variation between estimated absolute permeability to liquid and measured routine gas permeability is accounted in core samples that have measured permeability smaller than 0.1 mD. Networks based on Berea sand properties show qualitative agreement between modeled data points and experiment data. However, modeled data are off by two orders of magnitude and all fall more or less on the same line.

Random network modelling approach to investigate the single‐phase and quasi‐static immiscible two‐phase flow properties in the Mesaverde formation

“…It is clear from the current work as well as recently completed complementary work [61][62] that the calculation of the single-phase properties is rather straightforward to achieve. The next task is to match and/or predict two-phase flow properties.…”

“…Further information about the calibration and tuning algorithm of the network can be found in the literature. [37,61,62] Figures 12 and 13 compare the porosity of the reconstructed networks to the laboratory data while Figures 14 and 15 show this comparison for the absolute permeability. It should be noted that the permeability is calculated in the x direction.…”

Percolation connectivity, pore size, and gas apparent permeability: Network simulations and comparison to experimental data

“…Similar trends were also observed in previous studies using sandstones and some tight sandstone [ Byrnes , ; Alreshedan and Kantzas , ; Tanikawa and Shimamoto , ; Bloomfield and Williams , ]. For instance, Bloomfield and Williams [] chose a wide range of lithotypes (including poorly cemented, well‐indurated sandstone) for liquid and atmospheric‐pressure gas permeability test.…”

Numerical Simulation of the Non-Darcy Flow Based on Random Fractal Micronetwork Model for Low Permeability Sandstone Gas Reservoirs

“…The pore sizes and the throats in the pore network model are also the key to be determined for researchers [26,27]. It is difficult to describe the irregular pores in traditional geometry.…”