Hydraulic modeling and real-time optimization of drilling fluids: A future perspective
1 TotalEnergies Limited, Nigeria (c/o Benmaris Limited).
2 Independent Researcher, Houston Texas, USA.
3 Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Review Article
Global Journal of Research in Engineering and Technology, 2024, 02(02), 030–038.
Article DOI: 10.58175/gjret.2024.2.2.0030
Publication history:
Received on 21 August 2024; revis.ed on 01 October 2024; accepted on 04 October 2024
Abstract:
The evolution of drilling operations in the oil and gas industry has highlighted the need for more efficient and adaptive management of drilling fluids, particularly in complex well environments. This paper presents a comprehensive review of hydraulic modeling and real-time optimization of drilling fluids, focusing on future perspectives and industry implications. Hydraulic modeling plays a crucial role in predicting pressure, fluid flow, and wellbore stability, while real-time optimization, powered by advanced sensors, AI, and machine learning, enables dynamic fluid management. The integration of these technologies allows for continuous monitoring and adjustment of fluid properties, improving efficiency, reducing downtime, and preventing formation damage. Future technological advancements, including digital twins and enhanced downhole sensors, are expected to improve well performance and cost-efficiency further. Strategic recommendations for industry adoption include investment in advanced technologies and further research into hydraulic modeling and real-time optimization for complex wells.
Keywords:
Hydraulic modelling; Real-time optimization; Drilling fluids; Artificial intelligence; Machine learning; Wellbore stability
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