Dr. Mengbo Li Profile

Dr. Mengbo Li

at CNOOC Research Institute

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Proceedings Article | 27 March 2022 Paper

Hydrogen ingression of optical fiber cable in high pressure high temperature downhole environment

Mengbo Li, Liangbin Xu, Zhong Li, Leixiang Sheng, Xining Hao, Tianwei Zhang

Proceedings Volume 12169, 121698K (2022) https://doi.org/10.1117/12.2625170

KEYWORDS: Optical fibers, Hydrogen, Carbon, Coating, Silicon, Silicon carbide, Diffusion, Molecules, Oxygen, Optical fiber cables

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The use of optical fibers in the oil and gas industry is becoming more viable. However, poor long-term performance of fibers, especially hydrogen ingression problem at elevated temperature and pressure, is still an issue yet to be fully resolved. This is critically important in permanent reservoir monitoring, where wells operate in conditions of high temperatures in high pressures within a hydrogen-rich environment. This paper proposed high temperature and high pressure hydrogen ingression testing load hydrogen environment by using downhole commonly used different fiber (including high temperature fiber, carbon fiber, carbonhigh temperature coating fiber, pure silica core optical fiber) and different fiber cable structure, measuring the optical attenuation loss to simulate hydrogen permeation, the numerical simulation of optical fiber cable hydrogen ingression was carried out by optical fiber cable hydrogen, the mathematical model was corrected based on the experimental results, The corresponding relationship between the laboratory test results and the lifetime in the field downhole environment is determined. The research results of this paper provide theoretical reference for the selection of optical fiber and coating type and the design of optical fiber cable structure for downhole optical fiber monitoring.

Proceedings Article | 27 March 2022 Paper

Research progress of optical fiber pressure sensing for oil and gas well downhole monitoring

Liangbin Xu, Mengbo Li, Zhong Li, Leixiang Sheng, Xining Hao, Tianwei Zhang

Proceedings Volume 12169, 1216969 (2022) https://doi.org/10.1117/12.2624739

KEYWORDS: Sensors, Optical fibers, Fiber optics sensors, Fiber Bragg gratings, Fiber optics, Reliability, Demodulation, Calibration, Raman scattering, Optical sensing

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Intelligent Well Technology has built up several years' production experience, remote flow control and monitoring capabilities can lead to significantly reduce production costs and improve reservoir management. Accurate downhole pressure monitoring data is critical for reservoir management. Traditionally, electrical sensors are used to obtain the measurements, but fiber optics sensing has become more popular due to many advantages over traditional sensors, such as long-term durability and distributed sensing in harsh conditions. At present, there are many kinds of fiber optic pressure sensing methods. How to determine the type of fiber optic pressure sensor and the running process plan based on the intelligent well technology and the complex downhole environment needs further research. Through investigation and research, this paper has been clear about the future development trend of distributed optical fiber pressure sensor, analysis the different types of optical fiber sensing principle and the performance parameters, respectively, carry out the intelligent well completion wellbore flow experiment and optical fiber pressure sensor reliability experiment with high temperature and high pressure, based on intelligent well completion wellbore flow pressure data, The resolution calculation and location optimization analysis of distributed pressure sensor are proposed. Combined with downhole high temperature and high pressure test data to carry out the optical fiber pressure sensor reliability research, analysis the effect of downhole environment on different packaging solutions, finally gives the suitable optical fiber pressure sensor selection and running process scheme for downhole long-term monitoring, provide theoretical reference for fiber optic pressure sensors engineering application in intelligent well completion downhole monitoring.

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