High-viscosity oil recovery often requires thermal methods of enhanced oil recovery combining surface acting agent (SAA) injection. Thermal treatment allows increasing hydrocarbon movability. Efficiency raisings’ limiting factor of this method includes injecting agent’s thermal loss (water and steam) as well as SAA molecules thermal destruction. This article assesses nanoparticles adding in SAA water solution’s influence. The authors consider a theoretic capability of increasing heat exchange’s inetnsity between oil reservoir and injected agents by means of adding nanoparticles as well as increase of the SAA thermostability’s capability under high temperatures influence.
The results of the laboratory experiments on SAA’s adsorbed layer structure on the surface of solid state show the structure’s dependence on SAA concentration in the solution. According to the developed mathematic model, a periodic adsorbed field will lead to the increase of heat transfer coefficient by means of the Nusselt number increment. This will allow increasing efficiency of thermal methods EOR application.
This paper presents a new approach to modeling flow deflectors. The developed approach takes into account changes in rheology properties of gel compositions depending on time and temperature. The effects of changes in the residual resistance factor of the reservoir rock depending on the gel composition concentration and permeability are also considered. In addition, the general concepts included in the developed injection software product used to calculate the geometry of gel screens placement and the effects of their application are shown.
All rheological characteristics of gel composition used in the software product are obtained by laboratory means at the stage of free volume studies and on filtration core models. The developed product allows correctly simulating the processes of gel screen formation in the bottomhole formation zone and evaluating technological efficiency depending on the treatment design. The following characteristics can be used as variable design parameters: concentrations of polyacrylamide and chromium acetate cross-linked, the sequence of increasing/decreasing polyacrylamide and chromium acetate cross-linked concentrations, the volume of both the composition as a whole and individual rims, pressure and injection rate.
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