Graduate Research School Available Projects Real time transmission of measurement data from the drill head to the oil rig platform

Real time transmission of measurement data from the drill head to the oil rig platform

Title of Project

Real time transmission of measurement data from the drill head to the oil rig platform

Advisor/s

Greg Wheatley, Kenneth Leong

College or Research Centre

College of Science & Engineering

Summary of Project

Exploration and drilling operations are the most costly and risky activities that require logging while drilling effective tool operation and high speed real-time data transmission. Among other logging technologies, mud pulse telemetry has been widely adopted into real-time drilling and logging data measurements for deep formation evaluation decision-making. However, the increased downhole information quantity and quality requirements have elevated demands for greater bandwidth and higher data rate transmission. Maximum possible mud pulse telemetry data rates are obstructed by unpredictable signal impairments. Researchers have implemented numerous downhole signal modulation techniques, data compression algorithms and surface receiver noise cancellation techniques to lower bit errors and increase signal-to-noise ratio. This study reviews mud pulse telemetry system signal transmission challenges and current countermeasure trends. Rigorous technical literature reviews from exploration and drilling oilfield service industry have been at the receiving end debated. Mud channel signal characteristics, signal attenuation factors, signal detection and decoding techniques are critical to successful mud pulse operations. To minimize exploration, drilling and economic risks, this study explores mud pulse data transmission challenges, strategies and possible technical solutions to the next generation engineers and scholars in the field

Key Words

laboratory testing; prototype testing; data transmission; drilling fluid

Would suit an applicant who

has a sound academic background, research experience, an interest in electrical and mechanical engineering and strong experimental and computational skills.

Updated: 08 May 2020