Date: Thursday 21 September 2023 (9:00 - 17:00)
Presenter: David Hill (Sintela Ltd)
Cost: EUR 250/-
Location: Hotel Meliá Milano
Registration: Please register by emailing us at registration@eage.org
The upstream Oil & Gas use of Distributed Fiber-Optic Sensors (DFOS) for
measuring temperature, strain and acoustic energy continues to increase. DFOS
systems are being used in many measurement, monitoring and verification
applications as they provide unique insights into stimulation performance, dynamic
fluid movements along the wellbore and seismic behaviour.
This course introduces fibre-optics and the basic principles of Distributed Acoustic
Sensing (DAS) technology. It covers the key considerations, cable designs and
installation methods for onshore and offshore completions.
The focus is on providing an understanding of the different features of DAS systems
so that participants in the course can make informed choices when planning to use
DAS in seismic acquisition programs. It will also inform participants on the current
hardware, software and algorithm development in DAS.
Introduction to fibre optics
● Basic principle
● Fiber types
● How the fibre is made
● Splicing
● Connectors
● Testing using an OTDR
Optical fibre sensors
● Point sensors
● Multiplexed sensors
● Distributed sensors (DAS, DTS, DSS)
Distributed Acoustic Sensor
● The basic concept
● System architectures
● The measurement principles
Applications
● Applications outside of Upstream O&G
● Upstream applications
o Well integrity
o Flow profiling
o Frac monitoring
o Cross well strain
o Active seismic
o Passive seismic
Geophone comparison
● Conversion to geophone equivalent signal
● Frequency response as a function of gauge length
● Directionality response
● Cable designs
Installation configurations
● Fiber operating temperature range
● Permanent – Behind casing
● Semi-permanent – On production tubing
● Temporary – Intervention via wireline, coiled tubing. Etc
● Surface deployment
● Onshore considerations
● Offshore considerations
Selecting the DAS Performance and Features for your job
● Performance
o Quantitative vs non-quantitative
o Sample rate
o Sensitivity
o Frequency Response
o Spatial Resolution
● Use of Standard vs ‘Engineered’ fiber
● Hardware features
● Software features
Machine Learning for microseismic event detection
● Real-time microseismic detection and measurement