Application of Distributed Fiber Optics Sensing Technology for Real-Time Gas Kick Detection

Abstract

Effective well control depends on the drilling teams’ knowledge of wellbore flow dynamics and their ability to predict and control influx. Detection of a gas influx in an offshore environment is particularly challenging, and there are no existing datasets that have been verified and validated for gas kick migration at full scale annulus conditions. This study bridges this gap with the newly instrumented experimental well at PERTT (Petroleum Engineering Research & Technology Transfer Lab) at Louisiana State University (LSU) simulating an offshore marine riser environment with its larger than average annular space and mud circulation capability. The experimental setup instrumented with fiber optics and pressure/temperature gauges provides a physical model of the dynamic gas migration over large distances in full scale annular conditions. Current kick detection methods do not always reliably detect a gas influx and have not kept pace with the increasingly challenging offshore drilling conditions. Even though there have been some recent developments in offshore kick detection, all methods thus far are only qualitative in nature because they are based on measurements at the surface. This study addresses current kick detection limitations and illuminates the potential for implementing distributed fiber optic sensing (DFOS) to the marine riser as a non-invasive and effective kick detection method in both stagnant and circulating annular conditions. As North America's only academic full scale well testing center, an experimental well in the PERTT lab was utilized to monitor and characterize gas rise using DFOS to simulate well control scenarios in offshore drilling riser environments. DFOS allows for the tracking of the gas migration in both the stagnant and full-scale circulating annulus conditions. Data from pressure sensors is integrated with the distributed temperature (DTS) and acoustic (DAS) measurements, for real-time downhole monitoring of the dynamics of the gas migration and fluid front movement. By implementing time and frequency domain analysis of the fiber optic data, we show that the gas rise and water front movement can be identified. Both the water and gas injection down the tubing independently show characteristic fronts in the DTS and DAS data, which gives us confidence in our interpretation. Once the gas is present in the annulus, the DAS measurements indicate a higher than expected gas-rise velocity, and this is most probably due to the full-scale annular geometry and circulating conditions enabling a faster gas rise velocity compared to previous work in this area consisting only of small-scale experiments and experiments through tubing. The two-phase flow experiments conducted in this research provide critical insights for understanding the flow dynamics in offshore drilling riser conditions, and the results provide an indication of how quickly gas can migrate in a marine riser scenario warranting further investigation for the sake of effective well control.

Feature extraction techniques for noisy distributed acoustic sensor data acquired in a wellbore

“…Traditional kick detection/monitoring technologies rely primarily on surface-based measurements, which might be insufficient for real-time monitoring due to their latency and limited spatial resolution [5,6]. Fiber-optic sensors can overcome these limitations by providing data across the entire length of the installed fiber on a wellbore and/or drilling riser to inform gas kick location in real-time [7][8][9]. Three DAS datasets are analyzed in this study, each representing different gas influx volumes, fluid circulating conditions, and gas injection methods in well-scale settings.…”

Feature Extraction Techniques for Noisy Distributed Acoustic Sensor Data Acquired in a Wellbore

“…Traditional kick detection/monitoring technologies rely primarily on surface-based measurements, which might be insufficient for real-time monitoring due to their latency and limited spatial resolution [5,6]. Fiber-optic sensors can overcome these limitations by providing data across the entire length of the installed fiber on a wellbore and/or drilling riser to inform gas kick location in real-time [7][8][9]. Three DAS datasets are analyzed in this study, each representing different gas influx volumes, fluid circulating conditions, and gas injection methods in well-scale settings.…”