Vol 6, No 4 (2024)

Evaporites of the Permian age, except for the Pre-caspian and Chu-Sarysu basins, have been described in many basins: Amazonian (Amazonas and Solimos), Paranaiba, Permian mega-basin (Delaware, Midland), well-studied areas of development of the Zechstein Formation in middle Europe and the Orn Formation in northern Europe, Khuff on the Arabian Peninsula, etc. This article discusses the peculiarities of the formation of the most studied strata, highlighting their similarities and differences, as well as the depth of paleo-basins at the beginning and completion of the evaporite strata formation.

Accurate estimation of paleo-basin depths is essential, as it affects the results of prediction of oil and gas occurrence. This is primarily due to its influence on the thermobaric conditions affecting the key components of hydrocarbon systems, particularly, hydrocarbon source strata. The study of analogs allows for a thorough analysis of the results obtained from calculations specific to each basin. The article emphasizes that most of the complexes being examined are of shallow-marine or continental nature, which distinguishes them from the pre-Caspian mega-basin, where salts are situated beneath deep-water sediments. However, these complexes offer valuable insights that can help refine the model and improve subsequent prediction of oil and gas occurrence.

Background: Emulsification plays a pivotal role in the process of enhanced oil recovery, especially in chemical flooding. Emulsification has emerged as one of the key mechanisms facilitating oil recovery in polymer flooding.

Aim: This study aimed to solve the problem of emulsification and stability of amphiphilic polymers in the process of oil displacement.

Materials and methods: The emulsion was prepared by stirring emulsification method in the lab, and the dynamic stability of the emulsion was determined by stabilizer, and the size and distribution of droplets were determined by laser particle sizing instrument.

Results: The experimental results show that, with the increasing mass concentration of amphiphilic polymer, the apparent viscosity of the solution is significantly increased. The emulsification ability and the stability of the emulsion are also enhanced. In addition, the microstructure of the emulsion shows that the amphiphilic polymer with higher concentration helps to reduce the particle size of the emulsified oil droplets and impels the more uniform distribution. Furthermore, the amphiphilic polymer system was conductive to improving the oil-water emulsification ability and prolonging the stability of the emulsion, especially in high-salinity and high-temperature environments.

Conclusion: The results of the study are of guiding significance for the emulsification of amphiphilic polymers for oil recovery.

In the development of brownfields, various geological and technological complications can arise. To enhance the smooth operation of downhole pumping equipment, companies implement a range of methods and techniques.

This article analyzes the potential of using machine learning to improve the reliability of underground well equipment in the fields of NC KazMunayGas JSC. The research focuses on the development and validation of predictive models that accurately forecast potential downhole equipment failures. It thoroughly analyzes existing machine learning methods, approaches and their real-life application, highlighting key success factors and limitations. The results of the study demonstrate the significant potential for using a well failure prediction model when selecting the optimal machine learning approach to reduce unscheduled downtime and optimize well maintenance processes. The authors assessed the potential for using failure prediction techniques for downhole pumping equipment in wells that utilizes sucker rod pumps. Implementing failure prediction techniques for downhole pumping equipment can help ensure uninterrupted well operation by minimizing well failures and reducing downtime for repairs.

Background: Oil and gas well drilling involves the use water- and hydrocarbon-based drilling fluids for flushing. While hydrocarbon solutions offer several advantages—such as preventing rock softening on the wellbore walls, reducing the formation of caverns due to instability in clay rocks, and dissoving salts (like halite, sylvinite, and bischofite), and preserving the natural reservoir properties of productive formations—they also have significant drawbacks. These disadvantages are related to the properties of the dispersion medium, which limits their overall application. The dispersion medium in hydrocarbon solutions consist of compounds that are both environmentally and flammable, such as kerosene, diesel fuel, olefins, various oils, etc. Increasing concern from government and environmental organizations regarding the environmental impact of drilling fluids using hydrocarbon dispersion medium have promted the industry to focus on water-based solutions. Despite several significant disadvantages, water-based drilling fluids are still more in demand than hydrocarbon ones. Although there is a preference for hydrocarbon systems, approximately 85% of all drilling fluids used worldwide today are water-based. This study focuses on a new approach in the field of water-based drilling fluids: the development, creation and implementation of polymer cationic systems. The idea of developing new water systems involves creatng polymer cationic working fluids that combine the beneficial properties of hydrocarbon and aqueous solutions.

Aim: To research and develop modern polymer cationic drilling fluids for well construction in the Republic of Kazakhstan.

Materials and methods: Polymer cationic drilling fluids were selected as the objects of study. To address the research objectives, experiments were conducted under both laboratory and field conditions.

Results: This article presents the findings of laboratory tests and field trials conducted in the fields of the Russian Federation and the Republic of Kazakhstan.

Conclusion: For the first time in global practice, stable polymer cationic drilling fluids have been developed and successfully tested, combining the advantages of aqueous and hydrocarbon systems. Both theoretical and practical principles for managing the properties of polymer cationic solutions have been established. The application of modified polymer cationic drilling fluids in well construction at the at the Astrakhan field and the Uzen field has demonstrated their high performance. This innovation has enabled the prevention of production isuues, increased mechanical speed of drilling, improved wellbore condition, reduced cavern porosity, and successfully completed the construction of over 20 wells. Additionally, it facilitated implementation of high-density solutions for killing brine and other related tasks.

Background: The integration of various factors affecting processes in oil refining is crucial for enhancing both the efficiency and sustainability of the industry. In a changing market and increasingly stringent environmental regulations, it is essential to continuously update approaches, develop innovative solutions, and optimize production processes to achieve the best possible outcomes.

Aim: The study aims to integrate thermodynamic, kinetic and hydrodynamic aspects into a unified model, and to validate the outcome based on experimental data and real-world operating conditions to ensure the accuracy and reliability of model predictions.

Materials and methods: The primary research methods include statistical data analysis, process modeling, and experimental studies at various stages of the production cycle.

Results: The study identified the key parameters that significantly impact the quality of the final product and production efficiency. Furthermore, it offers recommendations for optimizing production processes based on the data obtained.

Conclusion: The study concludes that integrating various factors can significantly enhance production performance and reduce refining costs. The study emphasizes the importance of an integrated approach to the management of production processes in the oil refining industry, which can facilitate the further development of the industry. The model created can be utilized for training personnel in process simulation. With its user-friendly interface, it requires no extensive programming knowledge, making it well-suited for the initial training of specialists.