Cationic, nonionic and zwitterionic surfactants have been explored to identify candidates that have the potential to satisfy all the key requirements for CO2 foams in EOR over broad reservoir conditions (i.e. temperature, pressure, salinity, water hardness). We have examined the formation, texture, rheology and stability of CO2 foams as a function of the surfactant structure and formulation variables, including temperature, pressure, water/CO2 ratio, surfactant concentration, salinity and concentration of oil. Furthermore, the partitioning of surfactants between oil and water, as well as CO2 and water, was examined in conjunction with adsorption measurements on both sandstone and limestone to develop strategies to optimize the transport of surfactants in reservoirs.
The novel switchable amine surfactants satisfied simultaneously the requirements of high CO2 solubility and formation of CO2 foams in the presence of water. Moreover, these switchable surfactants showed low partitioning towards oil and favorable CO2/brine partitioning. The former property is important in minimzing surfactant retardation due to partitioning into oil. In addition to cationic surfactants, nonionic linear and branched ethoxylate surfactants with high optimum ethylene oxide (EO) number formed strong foams in sand/bead packs and remained highly viscous in a capillary tube as bulk foam. Both switchable surfactants and nonionic surfactants could stabilize strong foam at very low surfactant concentration (close to 0.05 wt%) and very high salinity (9 wt% NaCl for a nonionic surfactant and up to 18 wt% NaCl, and with high calcium ion levels, for a cationic switchable surfactant). The surfactant efficiency for lowering the interfacial tension between brine and CO2 as a function of CO2 density up to 18 mN/m was achieved. Both switchable surfactants and nonionic surfactants also formed unstable oil-water/brine emulsion at elevated temperatures. It has been demonstrated that CO2 foams broke in the presence of mobile oil as a function of the oil concentration. Thus, these smart surfactants may be used to generate foam that can stabilize the displacement front in CO2 flooding.
The presence of silica and/or clay may significantly affect the adsorption of cationic surfactants on carbonates. To verify this hypothesis, the surface chemistry of four kinds of natural carbonates, including dolomite and limestone samples, was analyzed. X-ray photoelectron spectroscopy (XPS) revealed that a substantial amount of silicon and aluminum exist in natural carbonates but not in synthetic calcite. Energy-dispersive X-ray spectroscopy (EDX) shows that silicon is widely distributed on dolomite surface. Static adsorption experiments on various carbonates were perfrormed on cationic and anionic surfactants. The results show that the adsorption plateau was highly dependent on the atomic ratio of (Si+Al)/(Ca+Mg) of the carbonate samples. This finding indicates that, in addition to nonionic surfactants, cationic surfactants may be good candidates for CO2 foam EOR with low adsorption on carbonates if the silica and clay contents in the carbonate formation are low.
Micromodels made with polydimethylsiloxane have been constructed for observing foam in heterogeneous pore systems. High-speed microscopy videos highlight tunable bubble generation via a flow-focusing microchannel geometry, bubble stability at the foam-oil interface, and dynamic foam behavior at the pore scale (including both fractures and model porous media). Foam sweep and oil displacement was studied as a function of foam quality, bubble size, surfactant type, and fracture-matrix permeability. Comparisons were made with pure gas and surfactant-free flooding, showing improved sweep and oil mobilization (up to 98% oil-in-place displaced) for foam systems.
High pressure core floods were successfully conducted to evaluate the capacity of foam to divert CO2 from high permeability zone (thief zone) into low permeability zone (upswept oil-rich zone). The permeability contrast (defined as the ratio of high permeability to low permeability) for the core floods was chosen based on typical reservoir permeability variations from both sandstone and carbonate fields. One of the important findings was that at very low fluid rates (i.e., far field rate conditions), the mobility of CO2 in foam is quite uniform in both high and low permeability rocks. This indicates that foam is stronger in higher permeability zone to resist preferential flow of CO2 in this zone, resulting in higher sweep efficiency. For high flow rates (i.e., near wellbore rate conditions), the effective permeability of CO2 increases with injection rates. Therefore, strong foam that reduces injectivity does not develop near the wellbore region. The core flood results are also useful for understanding of local foam rheological behaviors and empirical approach based foam modeling. CO2 soluble surfactants could reduce the delay of foam propagation, enhancing foam robustness. The level of foam robustness enhancement varies with surfactant partition coefficient. As the partition coefficient of the foaming surfactant increases from zero (anionic surfactant) to above 1.5 at the core flood conditions, the rate of strong foam propagation appears to be highest at around 0.1. The dependency of foam robustness on surfactant partition coefficient can be explained based on the effect of critical surfactant concentration on foam stability and the spreading of surfactant concentration distribution due to partitioning.
A 3D pore-network model of computer-generated sandstone coupled with fluid models that represent a lamella flow through a pore throat has been successfully used to quantify two key rheological features of foam mobility (i.e., gas relative permeability and effective gas viscosity) and their influencing factors. It was found that flowing gas fraction increases as the overall lamella density in the pore network decreases at a constant pressure gradient. This results in significant variation of threshold pressure gradients at high overall lamella density. Relative gas permeability is a strong non-linear function of flowing gas fraction. This observation disagrees with most of the existing theoretical models for the effect of gas trapping on relative gas permeability in which a linear relationship is commonly assumed. Moreover, the shape of the relative gas permeability curve is poorly sensitive to overall lamella density. The findings on the dynamics of foam trapping and remobilization indicate that both flowing and trapped lamella densities vary with pressure gradient, but are not necessarily the same. This preliminary result provides insight into the least explored aspect of population balance based modeling approaches, that is the kinetics of gas trapping. It is also relevant to understanding phase trapping during multi-phase flow. Empirical and mechanistic pore-scale apparent gas viscosity models are evaluated and compared. It is found that all the models give almost the same functional relationship between flowing gas fraction and pressure gradient. This would facilitate scaling of flow rate with pressure gradient and testing a range of shear-thinning and yield-stress behavior in a simple format. Effective gas viscosity is a strong function of flowing lamella density. The nonlinearity of this function is opposed to the existing foam viscosity models developed for foam flow in porous media and reported here for the first time. In addition, shear thinning foam flow is more obvious at high flowing lamella density, while Newtonian flow becomes significant at relatively low flowing lamella density. Scaling of effective gas viscosity with flowing lamella density depends on how the later quantity is defined. Effective gas viscosity is a unique function of the number of flowing lamellas normalized to the total number of pore throats open to flow. However, it also scales with overall lamella density if the number of flowing lamellas is normalized to the flowing gas volume. This issue has not been addressed in the literature of modeling of foam in porous media because the dynamics of gas trapping and remobilization and its effect on foam mobility has been neglected.
Scaling of foam process to field has been conducted. Different injection strategies have been investigated, including conventional CO2 insoluble surfactants and the influences of surfactant partitioning between CO2 and water phases on field-scale foam performance. One of the significant findings was that higher surfactant partition coefficient results in lower gas production rate over a relatively short period of time, owing to deeper surfactant and foam propagation into the reservoir. However, this early-time production behavior dramatically changes at later time. An increase in surfactant partition coefficient leads to more spreading of surfactant concentration distribution towards the producer, enhancing the significance of surfactant concentration effect. Therefore, surfactants with relatively lower partition coefficients can improve better vertical sweep efficiency. This particular effect of surfactant partitioning improves not only sweep efficiency, but also well injectivity. The average well bottomhole pressure decreases with increasing surfactant partition coefficient regardless of cycle size. Increasing slug size improves vertical sweep efficiency only for CO2 insoluble surfactant at the expense of well injectivity. Furthermore, for CO2 insoluble surfactant, an increase in slug size significantly improves vertical sweep efficiency. However, foam is actually weaker as the water-CO2 cycle increases for all the CO2 soluble surfactants. Surfactant concentration gradient is dependent on the cycle size and the magnitude of partition coefficient. If the latter is fixed, an increase of water-CO2 cycle reduces surfactant concentration gradient that may impair the continuation of strong foam propagation.
Recently, the project team has collaborated with Tabula Rasa to identify a dolomite reservoir candidate for foam application. East Seminole has been recommended based on its heterogeneity, formation fluid properties, historical reservoir performance, and operational constraints. Tabula Rasa has planned to start water-alternating-gas injection for these patterns in early 2016 for about 9 months to establish the injection and production base lines for a foam trial. A foam pilot design will be developed based on the injection/production base lines and the results of all lab tests from this project.