{"id":220440,"date":"2026-01-22T14:56:25","date_gmt":"2026-01-22T12:56:25","guid":{"rendered":"https:\/\/azbuki.bg\/?p=220440"},"modified":"2026-01-26T09:37:51","modified_gmt":"2026-01-26T07:37:51","slug":"new-technology-for-developing-hydrocarbon-reserves-of-complex-reservoirs-with-underlying-water","status":"publish","type":"post","link":"https:\/\/mathinfo.azbuki.bg\/en\/uncategorized\/new-technology-for-developing-hydrocarbon-reserves-of-complex-reservoirs-with-underlying-water\/","title":{"rendered":"New Technology for Developing Hydrocarbon Reserves of Complex Reservoirs with Underlying Water"},"content":{"rendered":"<p><strong>Miel Hofmann, Sudad H. Al-Obaidi <\/strong><\/p>\n<p><em>Mining University, Russia<\/em><\/p>\n<p><strong>Igor P. Kamensky<\/strong><\/p>\n<p><em>Scientific Research centre<\/em><em>, <\/em><em>Russia<\/em><\/p>\n<p><a href=\"https:\/\/doi.org\/10.53656\/nat2025-4.06\">https:\/\/doi.org\/10.53656\/nat2025-4.06<\/a><\/p>\n<p><strong>Abstract. <\/strong>This study presents a novel technique for developing complex oil reservoirs with bottom water. The method involves injecting freshwater below the oil-water contact (OWC) and subsequently stabilizing it with a polymer to create a barrier. This approach is designed to reduce water cut, enhance oil recovery (EOR), and sustain production rates in mature fields.<\/p>\n<p>Based on an analysis of experimental and field data, criteria for the technology&#8217;s application have been established. A key mechanism is the reduction of permeability in terrigenous reservoirs following freshwater injection, a phenomenon confirmed by laboratory core studies. Using a radial hydrodynamic model, this study assessed the technology&#8217;s effects and performed a sensitivity analysis to optimize perforation placement and injected agent volume. The results can be used to evaluate not only freshwater but also other water-control agents, although field-specific core flow studies are necessary to justify any application.<\/p>\n<p>The model also identified two primary mechanisms of bottom water inflow to production perforations. The first is water coning, which is driven by production-induced pressure gradients. The second mechanism is channeling along the casing string, which is caused by factors like poor cement quality or the presence of natural and induced fractures. Finally, a calculation of production losses resulting from this water flow was performed.<\/p>\n<p><em>Keywords: <\/em>Freshwater, OWC, Underlying water, Water cut, EOR<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol>\n<li><strong>Introduction<\/strong><\/li>\n<\/ol>\n<p>The primary focus of the modern oil and gas industry is to enhance the efficiency of hydrocarbon extraction from complex fields at a late stage of development. A large proportion of these hydrocarbon reserves are found in fields classified as \u201cwith bottom water\u201d or water-floating (Al-Obaidi &amp; Khalaf, 2019; Asuaje et al., 2025; Huang &amp; Lin, 2020; Yang et al., 2022). Developing these areas is complicated by the rapid formation of a water cone drawn up toward vertical wells due to pressure depletion.<\/p>\n<p>Currently, various agents and methods (gels, polymers, alkalis, fresh water, etc.) are used to limit water inflow (WIL) in complex oil and gas fields (Bai et al., 2023; Chang et al., 2021] Foutou et al., 2021; Han et al., 2022). These methods fundamentally aim to reduce the permeability of highly permeable, water-washed zones within the formation, allowing the low-permeability sections to be effectively utilized. A wide range of action mechanisms is known. In each specific case, the chosen method depends on the reservoir type, the geological structure of the deposit, and the technical and economic conditions (Al-Obaidi, 2015; Hassan et al., 2022; Malozyomov et al., 2023; Xu et al., 2020;).<\/p>\n<p>One popular area of development is the use of fresh water, primarily due to its low cost compared to specialized chemical agents (gels, polymers, alkalis, surfactants). The effect of fresh water on permeability varies between high- and low-permeability reservoirs. In low-permeability, clay-filled reservoirs, a permeability reduction occurs due to clay swelling (Bourg &amp; Ajo-Franklin, 2017; Liu et al., 2021; Zhao et al., 2024).<\/p>\n<p>In highly permeable reservoirs with a low degree of clay content, permeability may also decrease due to migration of fine particles. Several studies (Chen et al., 2023; Knobloch et al., 2018; Li et al., 2023; Ligeiro et al., 2021) have performed qualitative and quantitative calculations of permeability reduction (ranging from 10 to 1000 times) during fresh water injection. It has been shown that in terrigenous reservoirs, introducing fresh water reduces the Van der Waals forces that hold fine particles on the pore walls. As a result, the fine particles migrate toward the pore throats. These particles then clog the narrow pore throats, generally resulting in a sharp decrease in permeability.<\/p>\n<p>Experiments on oil displacement using various agents were carried out on linear core models (Al-Obaidi et al., 2022; Drozdov, 2022; Liu et al., 2020). The results demonstrated a 4-to-11-fold decrease in effective permeability for sandstones of the terrigenous Carboniferous strata during flooding with fresh (river) water (Fig. 1). It was concluded that fresh water is not recommended for flooding terrigenous deposits of the Lower Carboniferous due to its significant negative impact on the formation&#8217;s flow properties. Based on these studies, the reservoir pressure maintenance system transitioned to using bottom and formation water.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220484\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145216.jpg\" alt=\"\" width=\"680\" height=\"440\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145216.jpg 680w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145216-300x194.jpg 300w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/p>\n<p><strong>Figure<\/strong><strong> 1.<\/strong> Linear core model with reduced effective permeability under freshwater displacement<\/p>\n<p>&nbsp;<\/p>\n<p>This paper considers a technological solution: injecting a freshwater rim into the WOC zone to reduce permeability. This aims to delay bottom water breakthrough while simultaneously decreasing water cut and increasing oil production.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol start=\"2\">\n<li><strong>Methodology and materials <\/strong><\/li>\n<\/ol>\n<p>The modeling approach utilizes the freshwater rim technique, which functionally resembles polymer flooding (Agi et al., 2018; Ding et al., 2020; Rai et al., 2015; Wang et al., 2022). This simulation is executed using the Eclipse 100 reservoir simulator, leveraging its dedicated Polymer section to model the effects of freshwater on the terrigenous formation.<\/p>\n<p><strong>2.1 Simulation Parameters<\/strong><\/p>\n<p>The interaction between the freshwater and the reservoir rock is defined by standard polymer modeling parameters, including the Recovery Resistance Factor (RRF) and the adsorption curve. The impact of freshwater on formation properties is explicitly implemented using the simulator keywords (Al-Obaidi et al., 2023; Ekanem et al., 2021; Haq et al., 2019; Olabode et al., 2024):<\/p>\n<p>\u2013 Plyrock (Polymer rock properties)<\/p>\n<p>\u2013 Plyads (Polymer Adsorption Functions)<\/p>\n<p><strong>2.2.\u00a0 Hydrodynamic Model Design<\/strong><\/p>\n<p>The model employs a variable-resolution grid optimized for accuracy in the critical zone and efficiency in the far-field.<\/p>\n<p>\u2013 Near-Wellbore Zone: A high-precision grid is used, with a fine resolution of 0.1\u00d70.1\u00d70.1\u00a0m, ensuring an accurate description of dynamic processes immediately surrounding the wellbore.<\/p>\n<p>\u2013 Periphery: The grid is systematically coarsened, with the <em>dr<\/em> parameter increasing up to 100\u00a0m at the model&#8217;s periphery.<\/p>\n<p>The overall grid consists of 6,000 cells. This strategic coarsening maintains computational efficiency, resulting in a rapid calculation time that does not exceed 5 minutes. The primary objective of the hydrodynamic model is to simulate processes within the bottom-hole zone, specifically for optimizing Water Inflow Limitation (WIL) techniques (Luo et al., 2023; Sharma et al., 2000; Yudin et al., 2024).<\/p>\n<ul>\n<li><strong> Model Parameters and Reservoir Characteristics<\/strong><\/li>\n<\/ul>\n<p>The main parameters included in the model correspond to the geological and physical characteristics of one of the Ural-Volga region deposits. The simulation utilizes the Eclipse 100 simulator, with fluid saturation set using the Leverett J-function.<\/p>\n<p>The reservoir properties are:<\/p>\n<p>\u2013 Total Reservoir Thickness: 10\u00a0m<\/p>\n<p>\u2013 Oil-Saturated Thickness: 4.5\u00a0m<\/p>\n<p>\u2013 Average Permeability: 100\u00a0mD<\/p>\n<p>\u2013 Average Porosity: 0.2<\/p>\n<p>\u2013 Oil Viscosity: 19.8\u00a0cP<\/p>\n<p>Fluid densities used are:<\/p>\n<p>\u2013 Oil: 894\u00a0kg\/m<sup>3<\/sup><\/p>\n<p>\u2013 Formation Water: 1190\u00a0kg\/m<sup>3<\/sup><\/p>\n<p>\u2013\u00a0 Fresh Water (for injection): 1007\u00a0kg\/m<sup>3<\/sup><\/p>\n<p>The well is completed with a 2\u00a0m perforation in the near-roof part of the reservoir, and the simulation covers a 2\u00a0year period.<\/p>\n<ul>\n<li><strong> Analysis of Bottom Water Inflow Mechanisms<\/strong><\/li>\n<\/ul>\n<p>During production, two primary mechanisms contribute to bottom water inflow into the perforations:<\/p>\n<ol>\n<li>Water Coning: This is driven by pressure gradients within the formation.<\/li>\n<li>Fluid Circulation along the Casing: This is largely a well integrity issue, influenced by the quality of cementing and the presence of natural or man-made fracturing behind the casing.<\/li>\n<\/ol>\n<p>A series of calculations was conducted to evaluate the impact of flow along the casing column by varying the included thickness. It is important to note that the hydrodynamic finite-difference scheme used does not account for the resistance to fluid circulation within the casing column. However, these calculations provide crucial insight into the potential effectiveness of repair and insulation work. In the case analyzed, losses from bottom water inflow along the casing column could reach up to 35% of the base production over the specified period.<\/p>\n<p><strong>2.5.\u00a0 Proposed Water Inflow Limitation (WIL) Technology<\/strong><\/p>\n<p>To effectively counteract the water coning effect, a more thorough intervention in the formation is essential. The proposed Bottom-hole Zone Treatment (BHT) technology is outlined as follows:<\/p>\n<ol>\n<li>Fresh Water Rim Injection: A 200\u00a0m<sup>3<\/sup> fresh water rim is injected over 7 days through special openings positioned 1 \u2013 2\u00a0m above the Oil-Water Contact (OWC). The optimal position of these openings was determined through prior optimization calculations.<\/li>\n<li>Fixation: A 5\u00a0m<sup>3<\/sup> polymer solution is subsequently injected to stabilize and fix the fresh water rim.<\/li>\n<li>Isolation: Cement is used to fill the special openings to prevent any subsequent behind-the-casing flows.<\/li>\n<\/ol>\n<p>Following the BHT, the well is returned to production through the initial two-meter perforation interval. The injection of the agent using this described WIL technology was simulated, and the subsequent effect on production was calculated (results are presented in Fig. 2).<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong> <img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220485\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145228.jpg\" alt=\"\" width=\"688\" height=\"462\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145228.jpg 688w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145228-300x201.jpg 300w\" sizes=\"(max-width: 688px) 100vw, 688px\" \/><\/strong><\/p>\n<p><strong>Figure 2. <\/strong>Modelling of the BHT technology on a radial hydrodynamic model<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol start=\"3\">\n<li><strong>Calculations and discussions<\/strong><\/li>\n<\/ol>\n<p><strong>3.1. Optimization of Special Opening Position<\/strong><\/p>\n<p>A critical series of calculations was conducted to determine the optimal placement of the special openings used for injecting the Water Inflow Limitation (WIL) agent (as illustrated in Figure 3).<\/p>\n<p>The simulation results identified the most effective injection depth for the case study: an interval of 1 \u2013 2\u00a0m above the Oil-Water Contact (OWC).<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220486\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145234.png\" alt=\"\" width=\"678\" height=\"413\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145234.png 678w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145234-300x183.png 300w\" sizes=\"(max-width: 678px) 100vw, 678px\" \/><\/p>\n<p><strong>Figure 3. <\/strong>Optimization of the position of special holes during the implementation of the BHT<\/p>\n<p>&nbsp;<\/p>\n<p>The optimal placement represents a balance between maximizing the screening effect of the injected rim and preserving the productive oil column.<\/p>\n<p>\u2013 Impact of Downward Shift: Shifting the special openings downwards (closer to or below the OWC) leads to a decrease in WIL efficiency. This occurs because the freshwater rim&#8217;s screening properties deteriorate; placing the agent too close to the mobile formation water allows the water cone to bypass the treatment or causes the agent to be swept away more quickly.<\/p>\n<p>\u2013 Impact of Upward Shift: Conversely, placing the special openings too high (further above the OWC) is detrimental because it blocks part of the effective oil-saturated thickness. This sacrifice of the productive zone reduces the potential oil inflow rate and is counterproductive to the overall goal of maximizing oil recovery.<\/p>\n<p>This optimization confirms that successful WIL implementation relies heavily on accurately determining the OWC and precisely placing the fresh water rim to build an effective barrier without infringing upon the oil-saturated pay zone.<\/p>\n<p><strong>3.2. Optimization of Technology Parameters<\/strong><\/p>\n<p>To fully optimize the Water Inflow Limitation (WIL) technology, a series of calculations was conducted to evaluate the effect of the treatment based on the Reduction in initial Water Permeability (RRF) within the impact zone (as shown in Figure 4 and Figure 5).<\/p>\n<p>The RRF is a critical parameter that quantifies the local resistance introduced by the injected fresh water and polymer to the flow of formation water.<\/p>\n<p>\u2013 Minimum Threshold: Based on the calculations, the WIL technology is not recommended for RRF values below 5. Below this threshold, the injected rim fails to provide sufficient screening or resistance to effectively suppress the water cone, rendering the treatment inefficient.<\/p>\n<p>\u2013 Optimal Range: The associated risks (likely meaning the risk of treatment failure or adverse side effects) are minimal for RRF values between 10 and 20. This range represents the optimal balance where the treatment effectively restricts water inflow without causing detrimental side effects, such as unnecessarily blocking the flow of oil.<\/p>\n<p>This analysis is essential for determining the required concentration and volume of the polymer solution needed to achieve an RRF between 10 and 20 for a successful, low-risk application of the WIL technology.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220487\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145241.jpg\" alt=\"\" width=\"682\" height=\"453\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145241.jpg 682w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145241-300x199.jpg 300w\" sizes=\"(max-width: 682px) 100vw, 682px\" \/><\/p>\n<p><strong>Figure 4. <\/strong>The influence of recovery resistance factor RRF on production parameters<\/p>\n<table width=\"691\">\n<tbody>\n<tr>\n<td width=\"352\"><\/td>\n<td width=\"338\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220488\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145245.png\" alt=\"\" width=\"760\" height=\"323\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145245.png 760w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145245-300x128.png 300w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145245-750x319.png 750w\" sizes=\"(max-width: 760px) 100vw, 760px\" \/><\/p>\n<p><strong>Figure 5. <\/strong>Optimization of production parameters for the period under consideration by the number of RRF<\/p>\n<p><strong>3.3. Effectiveness of the Water Rim Screening (RRF Impact)<\/strong><\/p>\n<p>A series of calculations (Figures 4 and 5) was performed to specifically evaluate the impact of the Recovery Resistance Factor (RRF) on production parameters, assuming the absence of behind-the-casing flows.<\/p>\n<p>The results show that the screening properties of the created water rim are highly effective, allowing for an average increase in cumulative oil production by 15% over the two-year period compared to the untreated case. This confirms the ability of the optimized RRF range (10 to 20, as previously discussed) to successfully suppress water coning and enhance oil recovery.<\/p>\n<p><strong>3.4. Optimization of Fresh Water Injection Volume<\/strong><\/p>\n<p>The impact of the fresh water injection volume on production parameters was also evaluated (Figure 6).<\/p>\n<p>The analysis revealed a relationship with two key findings:<\/p>\n<ol>\n<li>Monotonic Increase in Production: Increasing the injection volume monotonically increases the percentage of additional oil production over the study period.<\/li>\n<li>Optimum Specific Efficiency: However, the specific efficiency of the impact (defined as the ratio of additional oil production to the injection volume) reaches an optimum. For the case under consideration, increasing the injection volume over 300\u00a0m<sup>3<\/sup> was found to be ineffective in terms of cost-benefit, indicating a point of diminishing returns where the additional water does not significantly improve the barrier properties relative to the volume injected.<\/li>\n<\/ol>\n<table width=\"699\">\n<tbody>\n<tr>\n<td width=\"348\"><\/td>\n<td width=\"350\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-220489\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145253.png\" alt=\"\" width=\"755\" height=\"370\" srcset=\"https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145253.png 755w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145253-300x147.png 300w, https:\/\/mathinfo.azbuki.bg\/wp-content\/uploads\/2026\/01\/screenshot-2026-01-22-145253-750x368.png 750w\" sizes=\"(max-width: 755px) 100vw, 755px\" \/><\/p>\n<p><strong>Figure 6. <\/strong>\u00a0Optimization of production parameters during the specified period, informed by the volume of BHT<\/p>\n<p>&nbsp;<\/p>\n<p><strong>3.5. Advantages of the Proposed WIL Method<\/strong><\/p>\n<p>Beyond its technical effectiveness in mitigating water coning, the method offers significant technological and economic advantages:<\/p>\n<p>\u2013 Low Cost of Injection Agent: The primary agent is fresh water, which has a substantially lower cost compared to specialized chemical compositions typically used in other conformance treatments.<\/p>\n<p>\u2013 High Penetration Treatment: The method provides the technological and economic feasibility of treating the bottom-hole zone with a high depth of penetration (more than 10\u00a0m), ensuring the creation of a substantial and stable barrier deep within the reservoir to prevent water cone reformation.<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"4\">\n<li><strong>Conclusions<\/strong><\/li>\n<\/ol>\n<p>The investigation confirmed the feasibility of limiting bottom water inflow by pumping a rim of fresh water into the Oil-Water Contact (OWC) area through a special perforation interval, particularly in \u201cwater-sensitive\u201d reservoirs.<\/p>\n<p>Calculations performed on a radial sector hydrodynamic model indicate that when fresh water actively interacts with the reservoir rock, inducing reduced permeability, injecting a rim of fresh water can significantly screen the water coning effect. This approach has the potential to increase cumulative oil production by an average of 15% to 35% over two years. The optimal injection interval is determined to be 1.5 \u2013 2\u00a0m above the OWC.<\/p>\n<p>As anticipated, the screen&#8217;s efficiency depends on its radius, with an optimal volume of approximately 300\u00a0m<sup>3<\/sup> identified for the 10\u00a0m thick water-oil reservoir; further increases in rim volume do not yield significant gains in efficiency. To achieve the necessary technological effect, a condition of at least a five-fold reduction in permeability (RRF \u22655) is required, with the optimal value being a ten-fold reduction or more.<\/p>\n<p>The results obtained are valuable not only for evaluating the use of fresh water but also for analyzing other water-controlling agents, such as alkali solutions that promote clay swelling or reagents that form emulsions with formation water. 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Chromatography and oil displacement mechanism of a dispersed particle gel strengthened Alkali\/Surfactant\/Polymer combination flooding system for enhanced oil recovery. <em>Colloids and Surfaces, A: Physicochemical and Engineering Aspects, 610<\/em>, 125642. https:\/\/doi.org\/10.1016\/j.colsurfa.2020.125642.<\/p>\n<p>Han, J., Sun, J., Lv, K., Yang, J. &amp; Li, Y. (2022). Polymer Gels Used in Oil-Gas Drilling and Production Engineering. <em>Gels, 8<\/em>(10), 637. https:\/\/doi.org\/10.3390\/gels8100637.<\/p>\n<p>Haq, B., Liu, J., Liu, K., Malaki, E. &amp; Al-Shehri, D. (2019).\u00a0Modification of Eclipse simulator for microbial enhanced oil recovery.\u00a0<em>Journal of Petroleum Exploration and Production Technology, 9<\/em>, 2247 \u2013 2261. https:\/\/doi.org\/10.1007\/s13202-019-0608-y.<\/p>\n<p>Hassan, A. M., Al-Shalabi, E. W. &amp; Ayoub, M. A. (2022). Updated Perceptions on Polymer-Based Enhanced Oil Recovery toward High-Temperature High-Salinity Tolerance for Successful Field Applications in Carbonate Reservoirs. <em>Polymers, 14<\/em>(10), 2001. https:\/\/doi.org\/10.3390\/polym14102001.<\/p>\n<p>Huang, Q. H. &amp; Lin, X. Y. (2020). Prediction of water breakthrough time in horizontal Wells in edge water condensate gas reservoirs. <em>E3S Web of Conferences, 213<\/em>, 02009. http:\/\/dx.doi.org\/10.1051\/e3sconf\/202021302009.<\/p>\n<p>Knobloch, L. O., Hincapie, R. E., F\u00f6disch, H. &amp; Ganzer, L. (2018). Qualitative and Quantitative Evaluation of Permeability Changes during EOR Polymer Flooding Using Micromodels. <em>World Journal of Engineering and Technology, 6<\/em>, 332 \u2013 349. https:\/\/doi.org\/10.4236\/wjet.2018.62021.<\/p>\n<p>Li, M, Qu, Z., Wang, M. &amp; Ran, W. (2023). The Influence of Micro-Heterogeneity on Water Injection Development in Low-Permeability Sandstone Oil Reservoirs. <em>Minerals, 13<\/em>(12), 1533. https:\/\/doi.org\/10.3390\/min13121533.<\/p>\n<p>Ligeiro, T. S., Vaz, A. &amp; Chequer, L. (2021). Forecasting the impact of formation damage on relative permeability during low-salinity water flooding. <em>Journal of Petroleum Science and Engineering, 208<\/em>, 109500. https:\/\/doi.org\/10.1016\/j.petrol.2021.109500.<\/p>\n<p>Liu, K., Wang, D., Sheng, J. J. &amp; Li, J. (2021). Review of the Generation of Fractures and Change of Permeability due to Water-Shale Interaction in Shales. <em>Geofluids<\/em>, <em>1<\/em>, 1748605. https:\/\/doi.org\/10.1155\/2022\/1748605.<\/p>\n<p>Liu, Z., Wu, G. &amp; Wei, C. (2020). Physical experiments and numerical simulations of viscosity reducer flooding for ordinary heavy oil. <em>Journal of Petroleum Science and Engineering, 192<\/em>, 107194. https:\/\/doi.org\/10.1016\/j.petrol.2020.107194.<\/p>\n<p>Luo, W., Kottsova, A., Vardon, P. J., Dieudonn\u00e9, A. C. &amp; Brehme, M. (2023). Mechanisms causing injectivity decline and enhancement in geothermal projects. <em>Renewable and Sustainable Energy Reviews, 185<\/em>, 113623. https:\/\/doi.org\/10.1016\/j.rser.2023.113623.<\/p>\n<p>Malozyomov, B. V., Martyushev, N. V., Kukartsev, V. V., Tynchenko, V. S., Bukhtoyarov, V. V., Wu, X., Tyncheko, Y. A. &amp; Kukartsev, V. A. (2023). Overview of Methods for Enhanced Oil Recovery from Conventional and Unconventional Reservoirs. <em>Energies, 16<\/em>, 4907. https:\/\/doi.org\/10.3390\/en16134907.<\/p>\n<p>Olabode, O., Oni, B., Dike, H., Akinsanya, O., Ajidahun, J. &amp; Olaniyan, D. (2024). Investigating the effect of salt concentration on oil recovery during guar gum polymer flooding: A simulation study. <em>Results in Engineering, 22<\/em>, 102269. https:\/\/doi.org\/10.1016\/j.rineng.2024.102269.<\/p>\n<p>Rai, S. K., Bera, A. &amp; Mandal, A. (2015). Modelling of surfactant and surfactant\u2013polymer flooding for enhanced oil recovery using STARS (CMG) software. <em>Journal of Petroleum Exploration and Production Technology, 5<\/em>, 1 \u2013 11. https:\/\/doi.org\/10.1007\/s13202-014-0112-3.<\/p>\n<p>Sharma, M. M., Pang, S., Wennberg, K. E. &amp; Morgenthaler, L. N. (2000). Injectivity Decline in Water-Injection Wells: An Offshore Gulf of Mexico Case Study.\u00a0<em>SPE Production &amp; Facilities, <\/em><em>15<\/em>, 6 \u2013 13. https:\/\/doi.org\/10.2118\/60901-PA.<\/p>\n<p>Wang, J. C., Hofmann, M. &amp; Al-Obaidi, S. H. (2022).\u00a0 Modelling the development of oil rim using water and gas injection. <em>Natural Science and Advanced Technology Education, 31<\/em>(3), 279 \u2013 292. https:\/\/doi.org\/10.53656\/nat2022-3.01.<\/p>\n<p>Xu, Z.-X., Li, S.-Y., Li, B.-F., Chen, D.-Q, Liu, Z.-Y. &amp; Li, Z.-M. (2020). A review of development methods and EOR technologies for carbonate reservoirs. <em>Petroleum Science, 17<\/em>, 990 \u2013 1013. https:\/\/doi.org\/10.1007\/s12182-020-00467-5.<\/p>\n<p>Yang, Y., Li, F., Zhang, W., Li, X. &amp; Pei, B. (2022). The continuous pack-off technology: A novel water-control method and application to offshore horizontal wells of limestone reservoir. <em>Journal of Petroleum Science and Engineering, 211<\/em>, 110137. https:\/\/doi.org\/10.1016\/j.petrol.2022.110137.<\/p>\n<p>Yudin, A., Eltaher, E., Al-Yaseen, A., Al-Jalal, Z. &amp; Faisal, M. (2024). Water Wells Injectivity Enhancement via Hydraulic Fracturing in Open Hole Completions. <em>SPE Caspian Technical Conference and Exhibition<\/em>. https:\/\/doi.org\/10.2118\/223395-MS.<\/p>\n<p>Zhao, D., Xie, W., Zhu, J., Li, B., Wang, L., Chen, T., Sheng, Y &amp; Huang, X. (2024). Oil Removal Technology for Water Injection in Low-Permeability Reservoirs: A Micro-Vortex Flow Approach. \u00a0<em>Processes, <\/em><em>12<\/em>(6), 1092. https:\/\/doi.org\/10.3390\/pr12061092.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p style=\"text-align: right;\"><strong>Prof. Dr. Miel Hofmann<\/strong><\/p>\n<p style=\"text-align: right;\">ORCID iD: 0000-0001-5889-5351<\/p>\n<p style=\"text-align: right;\">Department of Petroleum Engineering<\/p>\n<p style=\"text-align: right;\">Mining University, Russia<\/p>\n<p style=\"text-align: right;\">E-mail: hof620929@gmail.com<\/p>\n<p style=\"text-align: right;\"><strong>Prof. Dr. Sudad H. Al-Obaidi<\/strong><\/p>\n<p style=\"text-align: right;\">ORCID iD: 0000-0003-0377-0855<\/p>\n<p style=\"text-align: right;\">Department of Petroleum Engineering<\/p>\n<p style=\"text-align: right;\">Mining University, Russia<\/p>\n<p style=\"text-align: right;\">E-mail: drsudad@gmail.com<\/p>\n<p style=\"text-align: right;\"><strong>Prof. Dr. Igor P. Kamensky<\/strong><\/p>\n<p style=\"text-align: right;\">ORCID iD: 0000-0001-7254-4021<\/p>\n<p style=\"text-align: right;\">Scientific Research Centre, SPB, Russia<\/p>\n<p style=\"text-align: right;\">E-mail: kamensky962@gmail.com<\/p>\n<p><a href=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/01\/natural-science_04_miel-hofmann-1.pdf\" target=\"_blank\" rel=\"noopener\">>> Download the article as a PDF file <<<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Miel Hofmann, Sudad H. Al-Obaidi Mining University, Russia Igor P. Kamensky Scientific Research centre, Russia https:\/\/doi.org\/10.53656\/nat2025-4.06 Abstract. This study presents a novel technique for developing complex oil reservoirs with bottom water. The method involves injecting freshwater below the oil-water contact (OWC) and subsequently stabilizing it with a polymer to create a barrier. This approach is [&hellip;]<\/p>","protected":false},"author":124332423427287,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[]},"categories":[1],"tags":[7989,15991,9618,15992,9615],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>New Technology for Developing Hydrocarbon Reserves of Complex Reservoirs with Underlying Water - \u0410\u0437-\u0431\u0443\u043a\u0438<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bel.azbuki.bg\/uncategorized\/new-technology-for-developing-hydrocarbon-reserves-of-complex-reservoirs-with-underlying-water\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Technology for Developing Hydrocarbon Reserves of Complex Reservoirs with Underlying Water - \u0410\u0437-\u0431\u0443\u043a\u0438\" \/>\n<meta property=\"og:description\" content=\"Miel Hofmann, Sudad H. Al-Obaidi Mining University, Russia Igor P. Kamensky Scientific Research centre, Russia https:\/\/doi.org\/10.53656\/nat2025-4.06 Abstract. This study presents a novel technique for developing complex oil reservoirs with bottom water. The method involves injecting freshwater below the oil-water contact (OWC) and subsequently stabilizing it with a polymer to create a barrier. 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Al-Obaidi Mining University, Russia Igor P. Kamensky Scientific Research centre, Russia https:\/\/doi.org\/10.53656\/nat2025-4.06 Abstract. This study presents a novel technique for developing complex oil reservoirs with bottom water. The method involves injecting freshwater below the oil-water contact (OWC) and subsequently stabilizing it with a polymer to create a barrier. 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