Complex estimation of the effectiveness of surfactant-polymer compositions for enhancing oil recovery on the base of laboratory experiments and flow simulation

UDK: 622.276.64
DOI: 10.24887/0028-2448-2023-12-45-49
Key words: surfactant, surfactant-polymer flooding, enhanced oil recovery, dynamic adsorption of surfactant, flow simulation
Authors: D.S. Adakhovskij (State University of Tyumen, RF, Tyumen), F.A. Koryakin (Gazprom Neft Companу Group, RF, Saint Petersburg), E.A. Sidorovskaya (State University of Tyumen, RF, Tyumen), E.A. Turnaeva (State University of Tyumen, RF, Tyumen), S.V. Milchakov (Gazprom Neft Companу Group, RF, Saint Petersburg), N.Yu. Tretyakov (State University of Tyumen, RF, Tyumen), I.N. Koltsov (Gazprom Neft Companу Group, RF, Saint Petersburg)

Chemical enhanced oil recovery (EOR) methods are becoming increasingly widespread, but the effectiveness of using oil-displacing compositions is characterized by a large amount of uncertainties that must be addressed. In this work, the effectiveness of three reagents for surfactant-polymer (SP) flooding were assessed. The assessment was carried out in two stages. The first one is laboratory research. At this stage the oil-displacing solution is selected in accordance with the geo-physical parameters of the field such as flow properties, reservoir fluids, reservoir temperature. Complex laboratory studies include special core analysis and filtration tests. During the laboratory stage design with the best performance was identified. The second stage is the flow simulation stage. During this stage the filtration tests were simulated in the model with following rescaling and evaluation of the effect on a full-scale 3D flow model. For flow modeling of chemical EOR, a number of necessary laboratory data and parameters are proposed, which are the following: dependence of interfacial tension in oil-water system on surfactant concentration, isotherm of dynamic adsorption for surfactants, residual oil saturation decrement, displacement coefficient increment, residual resistance factor. Linear dimensions of core samples, filtration-capacitance properties, and relative phase permeability endpoints were used as additional parameters during the model adaptation. 3D model estimated the increase in oil recovery factor as 19% when SP flooding implemented after waterflooding. The most performing SP composition is recommended for single well chemical tracer test and for pilot testing.

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