SPE Singapore Chapter at OSEA – Offshore Energy Week: Integrating Offshore Energy Transition with Market Opportunities
Tuesday-Thursday, 19-21 November 2024 at Sands Expo and Convention Centre, Singapore
Decarbonisation · Collaboration · Thought-Leadership.
The SPE Singapore Chapter is pleased to announce our participation in OSEA – Offshore Energy Week 2024. We invite you to visit our booth to learn about the Society of Petroleum Engineers, explore the advantages of membership, and discover the activities and networking opportunities our Singapore Chapter offers. Additionally, we will also host an insightful session on “Distributed Acoustic Sensing”.
Bio: Peter Mark Smith is a seasoned engineer with a diverse background in advanced technology applications. Starting his career at Unidata in Australia, he gained strong engineering and data skills. He also holds a master's degree in oil and gas engineering. After several years offshore in the oil and gas sector, he advanced his career at Weatherford, GE, and Baker Hughes, contributing to innovative projects and solving complex engineering problems. Peter later joined CRX as a consultant on carbon credits and then Clockwise Subsea Pte Ltd in Singapore, specializing in subsea equipment and services. Currently, at Silixa, Peter focuses on distributed fiber optic acoustic sensing (DAS) technology for seismic applications and environmental monitoring. He has authored or co-authored three patents, demonstrating his innovative contributions to the field. Passionate about integrating cutting-edge technologies to enhance data accuracy and reliability, Peter significantly contributes to engineering and environmental sustainability.
Abstract: Distributed Fiber Optic Sensing (DFOS), encompassing Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS), is revolutionizing the upstream oil and gas industry. These technologies provide real-time, continuous monitoring of well conditions and pipeline integrity over extensive distances. By delivering high-resolution data on temperature, strain, and acoustic signals, DFOS enhances reservoir management, optimizes production, and ensures safety. DFOS significantly reduces the time required for well logging compared to conventional logging methods, allowing for faster decision-making and operational efficiency. This presentation will explore the principles, applications, and benefits of DFOS, showcasing its potential to advance traditional monitoring methods and drive industry innovation