 
High Frequency Data Curation & Management
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High frequency data streams that are collected at the field and transmitted to the office
(data historian, databases ...) are not quite useful in their raw
form. The raw data from wells are noisy, contaminated with outliers, and often times, redundant.
In their raw form, the high frequency data does not lend itself to meaningful analysis
and modeling. The high frequency data streams need to be curated and managed in order to be ready
for analysis and be used by well and reservoir manitoring and management techniques and algorithms.
ISI has developed unique workflows for curation and management of high frequency data streams.
Our workflows are capable of de-noising, cleansing and summarizing the data. ISI's data abstraction
workflows captur the major patterns in the data and removes the redundancies. Preparation of the
high frequency data streams for the analytical modules is the main objective of ISI's data curation
and data management workflows.
Our unique analyses of high frequency data perform multiple tasks such as detecting wellbore
deterioration as a function of time, well behavior modeling using a proprietary algorithms for continuous improvement of
the developed model. The developed model is trained to monitor well behavior using a perpetual
learning and then predicting well's behavior. This is one of the most advance well monitoring and
surveillance algorithms in the market.
Other analytical techniques that have been developed specifically for the real-time data are
algorithms for examining the drive
mechanism and detecting sealing faults and flow barriers between wells, all in real-time.
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Phone: 713.876.7379 Email: Info@IntelligentSolutionsInc.com
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