Our pioneering software platform, Q-DOS™, utilises artificial intelligence to analyse and visualise your data to generate user-focussed, decision-ready reports.
Q-DOS™ has been initially developed for the energy sector but is equally applicable as an analytic and interpreting tool-set 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 or just poorly analysed, due to a lack of resources or understanding of the data. When data is analysed, the quality of its interpretation is not always convincing to the operator. Q-DOS™ sets a new standard. The intelligent software learns from historic and real-time data and can 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 or periodically, reports being produced automatically or at the click of a few buttons.
Who uses Q-DOS?
Q-DOS™ is 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™ is primarily 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 varying in time. The processing of such large data volumes is enabled by utilising the power of powerful and scalable cloud computing.
Q-DOS™ can also enable the analysis of data from large arrays of discrete sensors if required.
Time based monitoring of any large array will generate huge amounts of data. Q-DOS™ is designed from the ground up to provide fast analysis and interpretations from these data no matter how large.
What is Distributed Optical Sensing (DOS)?
DOS acquisition utilises optical fibre as the sensor, which, using increasingly complex optical techniques, effectively creates thousands of sensor measurement points along the fibre, all acquired continuously and instantaneously at the same time, by sensing at the speed of light. These fibres can easily measure many kilometers of assets, wherever you can deploy fibre.
To find out a bit more about DAS and DTS visit our short blog post.