Our pioneering software platform, Q-DOS™, utilises artificial intelligence to analyse and visualise your data to generate user-focussed, decision-ready reports.
Q-DOS™ is currently being developed in the energy sector but is equally applicable across various other industries.
Here is a brief introduction by our CEO, Graham Gaston:
How does Q-DOS improve the status-quo?
A wealth of operator well data remains un-analysed due to a lack of resources. When data is analysed, the quality of its interpretation is not always convincing to the operator. Q-DOS™ will set a new standard. The intelligent software will learn from historic and real-time data and continually improve in interpretation accuracy over time. The more data it processes, the more it learns. Individual interpretations from different analysts can vary. Q-DOS™ will create consistent informed and explainable results and predictions from its expanding knowledge base.
Data analysis will become increasingly automated as Q-DOS™ learns continuously.
Interpretation of a dataset that currently takes a human expert many days, if not weeks, will be reduced to minutes by Q-DOS™. Downhole data acquisition and analysis can be run continually, reports being produced automatically or at the click of a few buttons.
Who uses Q-DOS?
Q-DOS™ will be a useful tool for experienced analysts and non-experts. Our enhanced visualisations will allow experts to analyse data in new ways. Non-experts will benefit from automatically updated clear and simple ready-made reports derived from sophisticated results. This will enable fast decision-making when time is short or no expert is available.
Since Q-DOS™ will primarily be a cloud-based application, results can be securely accessed from anywhere in the world, on any platform. Thus, maximum value from the results can be realised virtually instantaneously.
What data does Q-DOS process?
Q-DOS™ primarily processes data generated through Distributed Optical Sensing (DOS), Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS). Such datasets can be combined with all other forms of relevant downhole and surface data, including geological information or physical conditions. The processing of such large data volumes will be enabled by utilising the power of scalable cloud computing.
What is Distributed Optical Sensing (DOS)?
DOS acquisition utilises optical fibre as the sensor, effectively creating thousands of sensor points along the fibre, all acquired continuously and instantaneously at the same time, by sensing at the speed of light.
What is Distributed Acoustic Sensing (DAS)?
DAS uses optical fibre as a sensor. It is a continuous acoustic sensor – effectively thousands of microphones – along the complete length of the fibre, recording the acoustic landscape around the well.
In DAS data, bangs, hisses and gurgles are acoustic events that consist of distinct characteristics or patterns that can be heard. Visually representing sound characteristics is critical to understanding the source of acoustic events.
What is DAS used for in the oil & gas industry?
Well integrity, especially prior to well abandonment, relies on logging tools which can only monitor the first casing-to-cement bond, not the cement-to-formation bond or any formation seal.
DAS can indicate turbulent fluid movements in the vicinity of a well and the surrounding cement and formation interface, even across several casing strings.
What is Distributed Temperature Sensing (DTS)?
DTS uses optical fibre as a sensor. It is a continuous temperature sensor along the complete length of the fibre, recording the thermal landscape around the well.
During fluid movement an increase or decrease in temperature may be seen, especially in close proximity to the fibre. Disturbances or fluctuations in the temperature profile can be tracked, quantified and related back to the source and cause of the fluid movement.