High water-cut oil production is one of the major issues in the petroleum industry. The present study investigates different profile control solutions, with an emphasis on selective methods and materials that mostly decrease the permeability of water-saturated reservoir areas. To achieve the selective water flow blockage in fractured porous media, the sodium silicate-based gel-forming composition was developed. The test procedure was created to assess selective and strength characteristics of the presented composition. According to the results of this procedure, adding polyatomic alcohols to the mentioned composition enhances its hydrophilic behavior in water-saturated rocks (work of adhesion increases from 117 to 129 mJ/m²) and reduces the hydrophobic behavior in oil-saturated rocks (work of adhesion drops from 110.3 to 77.4 mJ/m²). The selectivity of the composition performance is validated by its higher wettability of water-saturated reservoir rocks compared with oil-saturated; thus, the composition creates a more stable water shutoff barrier when entering the water zone in a formation. As a result of core flooding experiments in natural, fractured, porous core samples, the efficiency of the water blocking capacity of the composition was proved. In addition, these tests showed the selectivity of the composition because the permeability decrease in water-saturated core samples was higher than in oil-saturated ones. The experimental value of the selectivity coefficient was 152.14.

The transportation of oil and gas in Russia’s northern and Arctic regions has seen significant growth in recent years. However, the presence of permafrost in these areas can cause malfunctions in the main pipelines due to soil frost heaving. The operational pipelines also often suffer from various defects in their body and surface. To mitigate these issues, above-ground trunkline supports are utilized to protect the pipelines from cryogenic processes. Nevertheless, these supports are subjected to ground loads caused by cryogenic frost heaving, which poses a threat to the pipeline’s integrity and the environment. In response to these challenges, this study presents a design for pipeline support to maintain the pipeline’s stability in the face of soil displacement caused by unequal frost-heaving forces. A numerical model was created to evaluate the fracture of frozen rock and the resulting stresses in the soil and support structure. The input data for the model includes coefficients that describe the soil’s state during the cryogenic process and the proposed support’s parameters. The experimental results showed the proposed design to be effective in protecting the pipeline from soil frost heaving. The paper also provides the results of numerical and experimental studies on soil fracture stresses depending on the rock type and temperature. This design promises to increase both the safety of above-ground trunk pipelines and their technological efficiency.

In the field of underground mining, the steel props within the coal face are frequently not fully salvaged, resulting in a low recovery rate. At the present time, approximately 60% of coal mining is conducted through underground methods. Consequently, there is a growing number of mechanical roof supports that utilize steel props. Furthermore, as the raw materials for the manufacture of these props are becoming increasingly scarce, it is of paramount importance to recover steel supports from unused mine shafts and those situated along coal seams. However, the recovery process is beset with numerous challenges due to the complex geological conditions and the arduous and perilous nature of the work, which has resulted in a dearth of attention to prop recovery in these areas during the coal mining process. Phase 2 software from Rock science was employed to ascertain the impact of the dismantling equipment on the mining excavation. Therefore, this paper presents a technical solution to enhance the efficiency of the steel prop recovery process in these shafts by utilizing a combination of hydraulic and mechanical structures to form a cohesive equipment setup for effective recovery.

This study identifies and analyzes factors influencing the sale prices of high-end apartments in Nam Tu Liem District, Hanoi City, from 2022 to 2024. Using direct surveys of 350 residents in June 2024 and multivariate regression analysis, six statistically significant factors were identified: developer's competency, location, surrounding environment, physical characteristics of the apartments, service quality, and market conditions. The research employed reliability testing using Cronbach’s Alpha, exploratory factor analysis (EFA), and multivariate regression analysis to ensure accurate identification of influencing variables. The research results indicate the degree of influence of each factor on high-end apartment prices as follows: Location has the greatest impact with a Beta coefficient of 0.391, followed by Physical Characteristics of Apartments with a Beta of 0.335, and Service Quality with a Beta of 0.259. Surrounding Environment has a Beta of 0.084, while Developer Competency and Market Conditions have the lowest impact, with Beta coefficients of 0.078 and 0.057, respectively. The empirical evidence derived from this study provides practical implications for real estate companies and businesses, enabling them to formulate more effective policies for real estate operations and management.