От изследователските лаборатории
NEW TECHNOLOGIES TO INVESTIGATE THE BEHAVIOUR OF SILICA GELS IN POROUS MEDIA
https://doi.org/10.53656/nat2025-2.02
Резюме. Increasing oil recovery in the oil industry requires a better understanding of the mechanism of behaviour of silica gel in porous media. Several technologies have been developed for redistributing fluid flows of injected or produced water in this work. These technologies were developed based on a proposed mechanism of the silica gel creation in a porous medium. The technologies presented here have been developed in order to increase oil recovery, and their implementation at various oil field sites has been evaluated. The results indicate that working within the elastic deformation range of silicate gel is preferable when designing an injection well treatment. As a result of the implementation of these technologies in 519 well operations across different oil fields, an additional 797,734 tons of oil were produced, or 1,537 tons more per well.
Ключови думи: Silica gels; Technologies; Porous media; Oil recovery; Behaviour mechanism
1. Introduction
Many oil and gas fields worldwide have developed technologies for redistributing fluid flows with gel-forming compositions based on sodium silicate (liquid glass) (Al-Obaidi & Guliaeva, 2017; Duryagin et al., 2023; Schneider et al., 2023; Telin et al., 2023). These systems have several advantages, including the technology to prepare and inject the reagents conveniently, the ability to handle large pressure gradients, the possibility of destruction by alkali agents, and the environmental safety of the reagents.
The mechanism of formation of an alkaline silica gel has been sufficiently studied, but there is debate about the mechanism of behaviour of a silica gel in a porous medium (Al-Obaidi 2007; Bai et al., 2024; Strack et al., 2023; Visser, 2018).
Silica gels are formed as a result of the interaction of sodium silicate with mineral or organic acids according to the following scheme (Matinfar & Nychka, 2024; Smirnov & Al-Obaidi, 2008)
\(\mathrm{Na}_{2} \mathrm{O} \cdot\left(\mathrm{SiO}_{2}\right) x+\mathrm{HCl} \xrightarrow{\text { yields }} \mathrm{H}_{2} \mathrm{O} \cdot\left(\mathrm{SiO}_{2}\right) x+\mathrm{NaCl}~~~~~~~~~~~~ {1}\)
Where x is the modulus of liquid glass.
As a result of the reaction, a silicic acid sol is formed, which over time turns into a gel according to the following scheme (Belton et al., 2012; Dervin & Pillai, 2017):
\(\begin{aligned} & \mathrm{H}_{2} \mathrm{O} .\left(\mathrm{SiO}_{2}\right) x \xrightarrow{\text { yields }} \mathrm{H}_{2} \mathrm{O} .\left(\mathrm{SiO}_{2}\right) x_{2}+\mathrm{H}_{2} \mathrm{O}, \\ & \mathrm{H}_{2} \mathrm{O} .\left(\mathrm{SiO}_{2}\right) x_{2} \xrightarrow{\text { yields }} \mathrm{H}_{2} \mathrm{O} .\left(\mathrm{SiO}_{2}\right) x_{4}+\mathrm{H}_{2} \mathrm{O} \end{aligned}~~~~~~~~~~~~ {2}\)
As a result of the reaction, polysilicic acids of various structures are formed (linear, branched, cyclic, and mixed). This polycondensation process is called gelation. Up to a certain point, the viscosity changes slightly, and after that, it increases sharply. This moment is called the onset of gelation (Chang et al., 2021; Davoodi et al., 2024; Liu et al., 2016; Raupov et al., 2023).
Since the formation of the gel occurs over time, exposure is required to achieve maximum gel strength. It was experimentally established that the holding time should exceed the time of onset of gelation by approximately three times (Ali et al., 2024; Al-Hajri et al., 2019; Al-Obaidi et al., 2022; Guo et al., 2022). The process of forming a silica gel from a low-viscosity solution is the basis for the following technologies for redistributing the flow of injected or produced water in oil wells (Fedorov et al., 2022; Kamensky et al., 2024; Kang et al., 2021; Zhong et al., 2024):
– Increasing reservoir coverage by waterflooding (IRCW);
– Levelling the injectivity profile of injection wells (LIP);
– Isolation of bottom water in production wells (IBW);
– Isolation of water inflow through high-permeability layers in production wells (IWFHPL).
For the successful application of the above technologies, it is necessary not only to study the physicochemical laws of the formation of silica gel, but also to know the mechanism of behaviour of silica gel in a porous medium. It is this concept that represents the main focus of this study.
2. Methodology
A laboratory installation from Core Laboratories was used to study the flow characteristics of silica gel (Buitrago-Rincon et al., 2023; Kamensky et al., 2020; Omran et al., 2020; Tom et al., 2024). This installation is designed to study the oil-displacing and flow properties of compositions of various chemical reagents under conditions close to reservoir conditions. Experiments were carried out on core samples of different permeability.
The following methodology was used in the experiments:
1. Through a specially prepared core sample (in the form of a cylinder with a diameter of 38 mm and a length of 85 mm), a model of formation water, which is fresh water (mineralization \(0.19 \mathrm{~g} / \mathrm{l}\) sodium chloride), was injected at room temperature until a steady constant pressure drop was achieved. This volume typically ranges from 8 to 10 pore volumes of the core sample. At this stage, the water permeability of the core sample was determined at a constant pressure gradient (the pressure gradient was defined as the pressure drop divided by the length of the core sample (Al-Obaidi et al., 2023; Andersen & Zhou, 2020; Jeong et al., 2021; Ren et al., 2021;);
2. A gel-forming composition was prepared based on liquid glass and hydrochloric acid with a predicted gelation time of 12 hours in a volume of 0.5 l;
3. Part of the prepared gelling composition was injected through the core. A general requirement when injecting a gelling composition was that the time of injecting through the core sample should not exceed the time at which gelation began;
4. Physicochemical studies were carried out with the remaining part of the gelforming composition: the time of onset of gelation and the ultimate shear stress (strength) of the silica gel were determined using a Reomat-30 device at a shear rate of \(0.0615 \mathrm{~s}^{-1}\) (Ghriga et al., 2020; Santos et al., 2017);
5. After injecting the gelling composition through the core sample, it was closed and left 3 times the device-determined onset of gelation time;
6. Water flowed through the core sample again after technological exposure with a discrete increase in the volumetric injecting rate. At each stage of the volumetric injecting rate, the pressure drop and gradient were determined, from which the permeability of the core sample filled with silica gel was calculated.
3. Results and discussions
The flow studies were carried out on core samples with permeability of 0.138 and \(0.079 \mu \mathrm{~m}^{2}\). Figure 1 represents the flow results for a core with a permeability of \(0.138 \mu \mathrm{~m}^{2}\) (a similar dependence was obtained for a core with a permeability of \(0.079 \mu \mathrm{~m}^{2}\) ).
Figure 1. Dependence of the permeability of a core (initial permeability \(0.138 \mu \mathrm{~m}^{2}\) ) filled with gel on the volume of freshwater injected at a different pressure gradient
This figure shows the dependence of the permeability of a core saturated with a gel-forming composition followed by exposure until a silica gel forms and the pressure gradient on the injected volume. This dependence can be divided into three sections: the first section is the region of elastic deformation of the silica gel in a porous medium up to a pressure gradient of \(4.8 \mathrm{MPa} / \mathrm{m}\), the second section is the region of partial destruction of the silica gel up to a pressure gradient of \(8.0 \mathrm{MPa} / \mathrm{m}\), the third section is the region of behaviour in a porous medium of a compacted partially destroyed silica gel up to a gradient of \(10 \mathrm{MPa} / \mathrm{m}\).
Further increases in liquid flow could eventually increase pressure to the point where completely destroying the compacted silica gel would be possible. However, due to instrument limitations, it was unable to obtain the maximum destruction pressure for silica gel in an experimental study involving cores filled with silica gel.
As confirmation that the 1st section in Figure 1 is the region of elastic deformations in a porous medium, ceasing water flow in this section and resuming water flow at the final flow parameters do not change the permeability of the core sample.
In the second section of the graph, permeability begins to increase sharply with increasing pressure gradients, which indicates partial collapse of the silica gel, as well as an increase in permeability to \(9 \times 10^{-3} \mu \mathrm{~m}^{2}\). The third section represents the behaviour of the partially destroyed compacted silicate gel. With compaction and partial destruction of the silicate gel, first, the permeability of the core sample filled with silicate gel decreases to approximately \(4.5 \times 10^{-3} \mu \mathrm{~m}^{2}\) at a pressure gradient of \(8.5 \mathrm{MPa} / \mathrm{m}\), and then, with an increase in the pressure gradient, cracks in the silicate gel open and the permeability of the core sample increases.
Physical and chemical studies of silica gels confirm the findings of flow studies (Al-Obaidi et al., 2020; Castañeda-Herrera et al., 2018; Montes et al., 2020; Seifi et al., 2024). The dependence of shear stress (strength) on time is presented in Figure 2. Three sections can also be distinguished from the obtained dependence: The first is an elastic deformation region of the silica gel for up to 1.5 minutes; the second is a region related to the partial destruction of the silica gel and the formation of cracks for up to 2 minutes; the third is related to the behaviour of compacted partially destroyed gel for up to 2.5 minutes. Since the cell of the Reomat-30 device is of an open type, the readings of the device and the changes occurring in the silica gel can be observed visually (Galkin et al., 2023; Ghaffari et al., 2022).
Figure 2. Dependence of shear stress (strength) of silica gel on time
As far as calculating the volume of silica gel injection is concerned, the focus should be on the final pressure of the first section, i.e., 4.8 MPa (insulation coefficient 25), and attempts to prevent partial gel destruction.
Based on Figure 1, the core sample filled with silica gel until partial destruction can withstand a pressure gradient of about \(4.8 \mathrm{MPa} / \mathrm{m}\) and has a permeability of about \(0.0056 \mu \mathrm{~m}^{2}\). The permeability reduction factor was about 25. This means that if an annular zone of silica gel is created in a highly permeable layer of an injection or production well, its injectivity will decrease by 25 times. This led to the suggestion of using silica gel in technologies for redistributing fluid flows of injected or produced water. The technologies have been successfully tested in oil fields in various regions of Russia and Kazakhstan.
The technological effectiveness of using the above technologies in oil fields in various regions of Russia and Kazakhstan has been reported in various publications (Moldabayeva et al., 2021; Yang et al., 2022) and is presented in Table 1. This table shows the results of applying the technologies proposed in the study to 519 well operations in different oil fields. The average success of applying the technologies was \(93 \%\), resulting in an additional 797,734 tons of oil production, or 1,537 tons of more oil production per well.
Table 1. Various companies’ results of implementing the technologies for redistribution of injected or produced water flows in oil wells.
4. Conclusions
As a result of understanding how silicate gel behaves in porous media, treatment technologies for both injection and production oil wells can be designed more objectively. Several technologies developed for redistributing fluid flows of injected or produced water based on the proposed mechanism of silica gel in a porous medium.
The results have shown that it is preferable to work in the elastic deformation region of silicate gel when designing an injection well treatment.
The technologies proposed in the study were applied to 519 well operations, resulting in an additional 797,734 tons of oil production, or 1,537 tons of more oil production per well.
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