AP23487822 – Research and development of devices for optimizing the measurement of drilling fluids parameters

Objective of the project – The goal is creating a complex device for automatic continuous monitoring of four parameters drilling mud: its density, conditional viscosity, plastic viscosity dynamic shear stress. These important parameters drilling mud quality, which play crucial role in preventing accidents, complications in the wellbore, in choosing necessary technological equipment.

Relevance: The relevance of the project is determined by the fact that the correct selection of drilling fluid directly affects the prevention of complications and accidents during drilling. The elimination of such complications accounts for about 10% of the total cost of drilling operations. The quality of drilling fluid is determined by several parameters, including density, viscosity, gel strength, and fluid loss. Currently, these parameters are measured manually and irregularly, which reduces the efficiency of monitoring. This leads to delays in adjusting the fluid properties when drilling conditions change. Therefore, there is an urgent need to implement systems for continuous automatic measurement of drilling fluid parameters

Scientific supervisor: Candidate of technical sciences, Associate Professor, Муратова Самал Каримбаевна

Expected and achieved results: As a result of the project, an experimental test bench was manufactured and successfully calibrated, ensuring the acquisition of reliable data and test results. Bench tests of the device for automatic continuous measurement of apparent viscosity were conducted, confirming its operability and accuracy. Methods for measuring rheological parameters of drilling fluids were studied, and the most effective approach was selected. Mathematical models and algorithms were developed to predict changes in drilling fluid parameters under various drilling conditions. A program of virtual experiments and laboratory studies was created to validate theoretical solutions. A foundation was established for further development of automated systems for measuring viscosity and density of drilling fluids. The design documentation was refined based on the results of theoretical and experimental studies. Data processing and prediction algorithms were developed, including the use of LSTM neural networks with prediction accuracy exceeding 95%. Sensor systems based on ultrasonic, optical, and microfluidic technologies were developed and tested, ensuring high measurement accuracy under high temperature and pressure conditions. The developed solutions, including systems for measuring fluid loss and sand content, have demonstrated their effectiveness and form the basis for the implementation of intelligent automated drilling fluid monitoring systems.

List of publications with links to them

1. Жайлиев А. О., Муратова С. К., Омирзакова Э. Ж., Табылганов М. Т., Гусманова А. Г., Куттыбаев А. Е., Ратова С. Б.
   Оптимизация процессов бурения и освоения скважин с использованием системы датчиков плотности и вязкости // Нефть и Газ. – 2025. – Т. 3. – № 147. – С. 102–114. – DOI: https://doi.org/10.37878/2708-0080/2025-3.05  
2. Orinbaev B., Ratov B., Khomenko V., Tileuberdi N., Khayitov O., Umirzokov A., Seidaliyev A., Makyzhanova A., Kuttybayev A., Zahrytsenko A., Kamyshatskyi O.
   Comprehensive Use of Electrical Inverse Lateral and Radioactive Logging for Strata Properties Investigation in Cased Wells // ES Materials and Manufacturing. – 2025. – Vol. 27. – No. 1417. – P. 1–12. – DOI: https://dx.doi.org/10.30919/mm1417
3. Ratov B., Pavlychenko A., Kirin R., Pashchenko O., Khomenko V., Tileuberdi N., Kamyshatskyi O., Sieriebriak S., Seidaliyev A., Muratova S.
   Using Machine Learning to Model Mechanical Processes in Mining: Theory, Practice, and Legal Considerations // Engineered Science. – 2025. – Vol. 33. – No. 1419. – P. 1–12. – DOI: https://dx.doi.org/10.30919/es1419