This study explores the use of unsupervised machine learning to optimize operational efficiency and reduce downtime in oil well production through clustering analysis. Using production data from a major Kazakhstani oil operator, the study applies K-means clustering to categorize oil wells based on output patterns. The dataset includes more than three million entries over a two-year period, capturing daily values for oil volume, liquid volume, and water cut percentage. Data preprocessing involved normalization, outlier handling, and correlation analysis to ensure robust clustering performance. The optimal number of clusters (K = 10) was selected using the Elbow method. Cluster interpretations revealed distinct operational profiles, including stable, declining, and volatile well behavior. In particular, more than 70% of wells remained in their assigned clusters over time, suggesting temporal stability and operational consistency. By identifying risk-prone and underperforming wells, the results support proactive maintenance, informed resource allocation, and long-term planning. The study demonstrates how unsupervised learning techniques can support data-driven decision-making in the petroleum industry without reliance on expensive sensor infrastructure. This research provides a replicable framework for oilfield analysis and highlights the value of behavioral clustering as a predictive tool for operational optimization. Our methodology integrates unsupervised learning, dimensionality reduction techniques, and visual analytics to provide interpretable cluster groupings. The enhanced predictive model demonstrates the potential to support data-driven decision-making and resource allocation in oilfield operations. © 2025 «OilGasScientificResearchProject» Institute. All rights reserved.

Углеродные сорбенты широко применяются в системе водоочистки ввиду своих адаптируемых свойств к различного вида загрязнителям. Удаление радионуклидов, в частности, радиоактивного йода представляет собой сложную задачу, поскольку его состав включает анионы и молекулярный йод (I2) в воде и воздухе. В данной работе обсуждаются способность и механизм сорбции йода углеродными сорбентами на основе биомассы. В данном исследовании впервые была получена серия активированных углей на основе скорлупы грецкого ореха, прошедшей химическую активацию КОН и модифицированной азотными группами за счет гидротермального внедрения мочевины в структуру активированного угля. Легирование азотом проводилось для внедрения положительно заряженных активных центров. Работа включает оценку подготовки, характеристики и эффективности углеродсодержащих сорбентов для удаления соединений йода из водных сред. Разработан простой однореакторный синтез композита WN Urea KOH на основе активированного угля, модифицированного азотсодержащими группами. Сорбционная емкость сорбента составила 459,42 мг I- на грамм композита с начальной концентрацией йодид иона 100 мг/л. Сорбционная емкость композита WN KOH без модификации азотными группами составила 432,5 мг/г с начальной концентрацией йодид иона 100 мг/л.

The article presents the results of computer modeling of the microstructure of a composite material consisting of a polyamide matrix and metal inclusions.The researched composition is one of the advanced trends in the production of materials for advancedMIM technologies. This paper describes the design of a new pressing device to produce composite rods. Computer modeling of mechanical properties of composite metal-polymer material was performed in the high-level CAD system DIGIMAT module MF. Micro-level modeling of the composite made it possible to establish the relationship between the percentage of inclusions and the upper yield strength of the material and the influence of the shape of the inclusions on the tensile strength of the designed material. The computational experiment results were verified with the results of the field experiment for the samples produced by the injection molding technology and the 3D printing technology.

Screw compressors are critical equipment in oil and gas production and transportation, where efficiency losses caused by rotor geometry, inlet pressure pulsations, and harsh climatic conditions can accumulate into substantial annual energy penalties and reliability degradation. This study provides a quantitative assessment of these coupled effects within a unified multiphysics framework that combines time-accurate transient CFD simulations based on a fixed Cartesian immersed-boundary formulation with a climate-calibrated offline physics-based digital twin—functioning as a digital shadow with one-way data flow from archival SCADA records—a reduced-order seasonal model with no real-time updating, calibrated against a full calendar year of SCADA records and validated against a held-out cold-season dataset (October–December 2022, Tamb = −15 to +8 °C); summer-period predictions rely on calibrated extrapolation beyond the validation window—an integration not previously demonstrated for oil-flooded screw compressors. Two rotor profile configurations (Type A and Type B) were analyzed to quantify geometry-driven differences in static pressure distribution, leakage tendency, and pulsation sensitivity. Transient suction conditions were modeled using harmonic and quasi-random inlet pressure disturbances to evaluate pressure amplification, phase lag, leakage intensification, and efficiency degradation. Seasonal performance was assessed by integrating temperature-dependent gas properties, oil viscosity behavior, and external heat transfer into an annual climatic load framework.

The experimental results obtained during the work enrich modern medicinal chemistry with new information about the development and local anesthetic activity of a promising class of chemical compound - O-benzoyloxime of bispidine. The discovered new properties of the molecule can serve as the basis for the creation of a new domestic safe local anesthetic drug that is effective in models of infiltration and conduction anesthesia and has low toxicity. The aim of this work is to synthesize and study the physicochemical and biological properties of a new morpholino-substituted bispidine derivative. Results and discussion. 3-(3-(Ethan-1-yloxy)propyl)-7-[3-(morpholine-4-yl)propyl]-3,7-diazabicyclo[3.3.1]nonan-9-one was constructed in 56.9% yield. Oximation under the influence of a powerful oximylating agent led to the oxime. O-Benzoyloxime was synthesized by benzoylation of the oxime. The complex of O-benzoyloxime with β-cyclodextrin - LA-180 was studied for local anesthetic activity and acute toxicity. Conclusion. It was established that LA-180 manifested itself as a highly active compound in a series of experiments studying infiltration and conduction anesthesia. The results of a study of acute toxicity after a single subcutaneous administration to white outbred mice showed that LA-180 (925 mg/kg) is a low-toxic compound in comparison with standard drugs such as trimecaine, lidocaine and novocaine.

Топырақтың химиялық құрамын зерттегенде әр аймақта әртүрлі болатыны белгілі. Сондықтан әр аймақтың топырағында өсімдіктерге жетіспейтін химиялық элементтерден күрделі аралас тыңайтқыштар дайындап, топырақты құнарландыру қажет. Ғылыми мақалада азотты-фосфорлы-калийлі кешенді тыңайтқыштарды синтездеп алу және олардың химиялық құрамын зерттеу жұмысы баяндалған.

Мұнайдан бөлінген күкіртқұрамды заттардың химиялық құрамын химиялық және физико-химиялық әдістер арқылы зерттеу. Зерттелген күкіртқұрамды заттарды NPK(S) және NP(S) тыңайтқыштарын алуға қолдану.

В статье представлен вычислительный (математический) модельный подход к термоэлектрической системе охлаждения головы человека. Рассматриваются тепловые процессы, происходящие в системе, и особенности распределения температуры при использовании элементов Пельтье. Разработанная модель позволяет анализировать эффективность охлаждения и оптимизировать параметры работы устройства для достижения стабильного температурного режима.

Reliable and energy-efficient capacity control in high-pressure single-rotor screw compressors requires precise regulation of adjustable ring mechanisms operating under combined gas and thermal loading. Thermo-mechanical deformation, friction-induced torque demand, and stress concentration near discharge windows significantly influence structural integrity, clearance stability, and actuation performance. This study presents an integrated thermo-structural and analytical investigation of a regulating ring system with a hydraulic wedge-groove drive concept. Three groups of geometric variants (nine configurations total) were analyzed using coupled Steady-State Thermal and Static Structural finite element modeling in ANSYS 19.2. Thermal asymmetry between suction (22 °C) and discharge (120 °C) regions produced peak thermally induced deformation of 0.17–0.18 mm, consuming up to 60–70% of nominal operating clearance. Neglecting thermal effects underestimated peak thermally induced structural deformation of the regulating ring by 12–15%. Among the configurations, variant 2b provided the most balanced response, reducing peak equivalent stress by 12–15% and required actuation torque by 8–11%. An analytical model for friction torque and driving force was derived based on distributed contact pressure. The results reveal quadratic sensitivity of torque to contact radius and strong dependence on groove geometry. The proposed framework supports reliable clearance design and efficient actuation in heavy-duty rotating machinery. © 2026 by the authors.

This study examines the corrosion behavior of mild steel in sodium sulfate solutions containing phosphates of different compositions. The research evaluates how various phosphate additives influence the corrosion rate and protective properties of the steel surface in aggressive environments.