Experimental and Numerical Investigation of Solids Transport in a Wellbore using Gauge Measurements Complemented with Fiber-Optic DTS

Summary Solids detection and monitoring are critical for maintaining wellbore integrity and efficiency in hydrocarbon production. This study investigates the real-time detection and analysis of solids transport in a full-scale wellbore, using a combination of gauge measurements and fiber-optic distributed temperature sensor (DTS) data. The experiments are conducted in a 5163-ft deep wellbore filled with synthetic oil-based mud. The study involves monitoring the movement of solids-laden mud during circulation tests, with data collected from both downhole and surface pressure gauges as well as density measurements using a Coriolis meter. The experimental results were compared with numerical simulation predictions using an in-house program and commercial software, DrillSIMTM. The results show a good agreement between the experimental data, including the DTS measurements, and the numerical predictions, providing valuable insights into the dynamics of solids transport in multiphase flow systems under well-scale conditions. This underscores the potential for enhanced solids management and optimization through advanced monitoring techniques. Traditional methods face challenges in real-time detection and characterization, especially under complex flow conditions. The results of this study highlight the advantages of fiber-optic sensing technologies, such as DTS, which offer high-resolution spatial and temporal data, improved reliability under harsh conditions, and a comprehensive understanding of flow dynamics. By integrating traditional gauge measurements with fiber-optic sensor data and validated numerical models, this research provides a robust framework for optimizing solids management in oil and gas operations under a variety of field conditions.