Development of a Software-Hardware Complex for Continuous Monitoring of Drilling Fluid Rheology

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The rheological properties of drilling fluids, such as plastic viscosity, yield point, and gel strength, are critical for ensuring efficient and safe oil and gas well drilling. Traditional methods for rheological analysis, reliant on manual or semi-automated viscometers, suffer from delays and inability to provide continuous data, increasing operational risks. This study presents the development and validation of an automated software-hardware complex designed for real-time monitoring of drilling fluid rheology. The system integrates inline rheometers, pressure and temperature sensors, and advanced data processing algorithms to deliver accurate measurements with a response time of 0.8 seconds. Laboratory tests demonstrated errors of ±4.2% for viscosity and ±7.8% for yield point compared to the Fann 35 viscometer, while field tests under simulated drilling conditions (30–100°C, 5–20 MPa) confirmed reliability with errors below ±9.2%. Case studies showcased rapid detection of anomalies, enabling proactive fluid management. The complex offers a scalable, integrated solution, reducing non-productive time and enhancing well stability. Recommendations include machine learning integration for predictive analytics and cloud-based analytics for remote monitoring, with future work targeting extreme conditions and other fluid types. This advancement significantly improves drilling fluid management, contributing to safer and more efficient drilling operations.

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300-309

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January 2026

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Xie, M.Y. Deng, J.L. Su, L.C. Pu, Study on shale gas drilling fluids technology, J. Advanced Materials Research 868 (2014) 651-655.

DOI: 10.4028/www.scientific.net/AMR.868.651

Google Scholar

[2] V.L. Khomenko, B.T. Ratov, O.A. Pashchenko, O.M. Davydenko, B.R. Borash, Justification of drilling parameters of a typical well in the conditions of the Samskoye field, J. IOP Conference Series: Earth and Environmental Science 1254 (2023) 012052.

DOI: 10.1088/1755-1315/1254/1/012052

Google Scholar

[3] O.A. Pashchenko, N.A. Borodina, O.O. Yavorska, V.V. Ishkov, O.V. Cherniaiev, Application of polymer flooding to increase oil recovery, J. IOP Conference Series: Earth and Environmental Science 1415(1) (2024) 012054.

DOI: 10.1088/1755-1315/1415/1/012054

Google Scholar

[4] A. Embaby, A. Ismael, F.A. Ali, H.A. Farag, B.G. Mousa, S. Gomaa, M. Elwageeh, An approach based on Machine Learning Algorithms, Geostatistical Technique, and GIS analysis to estimate phosphate ore grade at the Abu Tartur Mine, Western Desert, Egypt, J. Min. Miner. Depos. 17(1) (2023) 108-119.

DOI: 10.33271/mining17.01.108

Google Scholar

[5] M. Biletsky, I.U. Nifontov, B. Ratov, D. Delikesheva, The problem of drilling mud parameters continuous monitoring and its solution at the example of automatic measurement of its density, J. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences 6 (2019) 154-162.

DOI: 10.32014/2019.2518-170X.154

Google Scholar

[6] M.M. Hirpa, E. Kuru, Effect of polymer fluid viscoelastic properties on the initiation of transition from laminar to turbulent flow regime and the drag reduction in the flow through horizontal pipe, J. Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering (2020) OMAE2020-18098.

DOI: 10.1115/OMAE2020-18098

Google Scholar

[7] A.A. Kozhevnikov, A.K. Sudakov, A.J. Dreus, K.Ye. Lysenko, Study of heat transfer in cryogenic gravel filter during its transportation along a drillhole, J. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 6 (2014) 49-54.

Google Scholar

[8] A.K. Sudakov, O.Ye. Khomenko, M.L. Isakova, D.A. Sudakova, Concept of numerical experiment of isolation of absorptive horizons by thermoplastic materials, J. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 5(155) (2016) 12-16.

Google Scholar

[9] B. Ratov, A. Pavlychenko, R. Kirin, O. Pashchenko, V. Khomenko, N. Tileuberdi, O. Kamyshatskyi, S. Sieriebriak, A. Seidaliyev, S. Muratova, Using Machine Learning to Model Mechanical Processes in Mining: Theory, Practice, and Legal Considerations, J. Engineered Science 33 (2025) 1419.

DOI: 10.30919/es1419

Google Scholar

[10] Ye.A. Koroviaka, M.R. Mekshun, A.O. Ihnatov, B.T. Ratov, Ya.S. Tkachenko, Determining technological properties of drilling muds, J. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 2 (2023) 025.

DOI: 10.33271/NVNGU/2023-2/025

Google Scholar

[11] M. Biletskiy, B. Ratov, D. Delikesheva, Automatic continuous measurement of drilling muds rheological parameters, J. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management (2020).

DOI: 10.5593/sgem2020/1.2/s06.084

Google Scholar

[12] Y. Stavychnyi, Y. Koroviaka, A. Ihnatov, O. Matyash, V. Rastsvietaiev, Fundamental principles and results of deep well lining, J. IOP Conference Series: Earth and Environmental Science 1348(1) (2024) 012077.

DOI: 10.1088/1755-1315/1348/1/012077

Google Scholar

[13] O. Pashchenko, V. Khomenko, V. Ishkov, Y. Koroviaka, R. Kirin, Protection of drilling equipment against vibrations during drilling, J. IOP Conference Series: Earth and Environmental Science 1348(1) (2024) 012004.

DOI: 10.1088/1755-1315/1348/1/012004

Google Scholar

[14] [F. Florence, C. Chapman, J. Macpherson, M. Cavanaugh, Implementation of drilling systems automation - Halifax workshop summary: Industry standards, business models and next steps, J. SPE Annual Technical Conference and Exhibition (2015) SPE-174779-MS.

DOI: 10.2118/174779-MS

Google Scholar

[15] M.T. Biletskiy, B.T. Ratov, A.Kh. Syzdykov, D.N. Delikesheva, Express method for measuring the drilling muds rheological parameters, J. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management (2019).

DOI: 10.5593/sgem2019/1.2/S06.109

Google Scholar

[16] B.T. Ratov, I.I. Chudyk, B.V. Fedorov, A.K. Sudakov, B.R. Borash, Results of production tests of an experimental diamond crown during exploratory drilling in Kazakhstan, J. SOCAR Proceedings 2 (2023) 023-029.

DOI: 10.5510/OGP20230200842

Google Scholar

[17] V. Khomenko, O. Pashchenko, B. Ratov, R. Kirin, S. Svitlychnyi, A. Moskalenko, Optimization of the technology of hoisting operations when drilling oil and gas wells, J. IOP Conference Series: Earth and Environmental Science 1348(1) (2024) 012008.

DOI: 10.1088/1755-1315/1348/1/012008

Google Scholar

[18] M.T. Biletskiy, B.T. Ratov, D. Delikesheva, Automatic mud density measurement device, J. Mining Informational and Analytical Bulletin 7 (2019) 140-148.

DOI: 10.25018/0236-1493-2019-07-0-140-148

Google Scholar

[19] S. Muratova, B. Ratov, V. Khomenko, O. Pashchenko, O. Kamyshatskyi, Improvement of the methodology for measuring plastic viscosity and dynamic shear stress of drilling fluids, J. IOP Conference Series: Earth and Environmental Science 1491(1) (2025) 012026.

DOI: 10.1088/1755-1315/1491/1/012026

Google Scholar

[20] R. Kirin, A. Yevstihnieiev, A. Vyprytskyi, S. Sieriebriak, Legal aspects of mining in Ukraine: European integration vector, J. Min. Miner. Depos. 17(2) (2023) 44-52.

DOI: 10.33271/mining17.02.044

Google Scholar

[21] V. Lozynskyi, Critical review of methods for intensifying the gas generation process in the reaction channel during underground coal gasification (UCG), J. Min. Miner. Depos. 17(3) (2023) 67-85.

DOI: 10.33271/mining17.03.067

Google Scholar

[22] M. Zamora, J. McGlaughlin, Universal process for benchmarking drilling fluid performance, J. SPE Drilling and Completion 23(3) (2008) 296-303.

DOI: 10.2118/103134-PA

Google Scholar

[23] M.T. Biletsky, B.T. Ratov, A.R. Bayboz, Theoretical justification of an automatic device for drilling mud funnel viscosity measurement, J. News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences 6 (2017) 123-130.

Google Scholar

[24] A.S. Al-Yami, J. Schubert, Using bayesian network to model drilling fluids practices in Saudi Arabia, J. SPE Production and Operations Symposium (2012) SPE-152096-MS.

DOI: 10.2118/152096-MS

Google Scholar

[25] V. Khomenko, S. Muratova, Z. Utepov, A. Zhanggirkhanova, Improved technique for measuring rheological properties of drilling fluid, J. Engineering for Rural Development 24 (2025).

DOI: 10.22616/ERDev.2025.24.TF107

Google Scholar

[26] M. Hegazy, S. Sharma, K. Fares, A. Dave, Optimized drilling fluid and tailored drilling practices help successfully drill and complete wells along the minimum horizontal stress direction in khuff reservoirs, J. SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition (2018) SPE-192269-MS.

DOI: 10.2118/192269-MS

Google Scholar

[27] L.Q. Nguyen, T.T.T. Le, T.G. Nguyen, D.T. Tran, Prediction of underground mining-induced subsidence: Artificial neural network based approach, J. Min. Miner. Depos. 17(4) (2023) 45-52.

DOI: 10.33271/mining17.04.045

Google Scholar

[28] R. Ettehadi, E. Onegova, F.Ø. Fevang, A. Knizhnik, S. Postovalov, Autonomous drilling fluid management system - Development of fluid advisory system and first lab trial, J. SPE Annual Technical Conference and Exhibition (2023) SPE-215047-MS.

DOI: 10.2118/215047-MS

Google Scholar

[29] Y. Vynnykov, M. Kharchenko, S. Manhura, A. Aniskin, A. Manhura, Neural network analysis of safe life of the oil and gas industrial structures, J. Min. Miner. Depos. 18(1) (2024) 37-44.

DOI: 10.33271/mining18.01.037

Google Scholar

[30] C. Martin, A. Nourian, M. Babaie, G.G. Nasr, Environmental, health and safety assessment of nanoparticle application in drilling mud - Review, J. Geoenergy Science and Engineering (2023) 211767.

DOI: 10.1016/j.geoen.2023.211767

Google Scholar