title: Modeling foam delivery mechanisms in deep vadose-zone remediation using method of characteristics.
abstract: This study investigates foam delivery mechanisms in vadose-zone remediation by using Method of Characteristics (MoC), a mathematical tool long been used for the analysis of miscible and immiscible flooding in porous media in petroleum industry. MoC converts the governing material-balance partial differential equations into a series of ordinary differential equations, and the resulting solutions are in a form of wave propagation (more specifically, for chemical species and phase saturations) through the system as a function of time and space. Deep vadose-zone remediation has special features compared to other conventional remediation applications. They include, not limited to, a high level of heterogeneity, a very dry initial condition with low water saturation (S(w)), pollutants such as metals and radionuclides fully dissolved in groundwater, and a serious concern about downward migration during the remediation treatments. For the vadose-zone remediation processes to be successful, the injected aqueous phase should carry chemicals to react with pollutants and precipitate them for immobilization and stabilization purposes. As a result, foams are believed to be an effective means, and understanding foam flow mechanism in situ is a key to the optimal design of field applications. Results show that foam delivery mechanism is indeed very complicated, making the optimum injection condition field-specific. The five major parameters selected (i.e., initial saturation of the medium, injection foam quality, surfactant adsorption, foam strength, and foam stability) are shown to be all important, interacting with each other. Results also imply that although dry foam injection is generally recommended, too dry injection condition is found to hurt this process due to slow foam propagation.
authors.affiliation: Craft & Hawkins Department of Petroleum Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
authors.forename: A
authors.initials: A
authors.lastname: Roostapour
authors.forename: S I
authors.initials: SI
authors.lastname: Kam
mesh_terms: D000327:Adsorption; D000465:Algorithms; D004785:Environmental Pollutants / Q000032:analysis*; D052918:Environmental Restoration and Remediation / Q000379:methods*; D015233:Models, Statistical; D016062:Porosity; D012996:Solutions / Q000737:chemistry; D013501:Surface-Active Agents; D014867:Water / Q000737:chemistry
chemical_list: D004785:Environmental Pollutants; D012996:Solutions; D013501:Surface-Active Agents; D014867:Water