Senslytics has developed a suite of predictive event detection solutions under the Sixth Sense Suite for Oil and Gas. The solutions integrate contextual information from IoT devices in the field with physics and mathematical models to provide an earlier alert to hazardous or dysfunction conditions relative to traditional alarming systems.

Saas

• The core-Intuition Technology is based on a core-understanding of the physics involved as opposed to traditional ML which relies on statistical correlations.
• Intuition Technology can use theoretical, empirical, historical data or even human experience data as elements to its Intuition Model.
• Intuition technology uses two proprietary algorithms Ring-Neutral-Core (RNC) processing and Situations-Hypotheses-Observations Modeling Algorithm (SHOMA) to find hidden influencers in Surroundings/Situations
• Intuition Technology automatically correlates time-distant effect of Ring influencers on Core. This helps gain Time to an Event “Lead Time”.

Key technology differentiators and value gains:

• Can predict extremity in behavior of Core variables
• Can refine conjecture from human experience into Situational Rules by using Hypotheses Iteration concept.
• Can compound intelligence in its Inference Engine and Forewarn upcoming abnormality (or State Change), preventing emergency or non-productive time.

Services and capabilities:

• Suited for ingestion of IoT data, Semantics data, and combining intelligence from them to generate real-time Forward Inferencing.
• Can be deployed on Cloud, Edge or as Embedded software.

Sixth Sense Suite for O&G:

• Contamination Forewarning: This app is targeted at ensuring high quality yet cost-effective formation fluid results. The application can ingest optical density, physical density, acoustic data and various situational parameters and can be very useful for Focused Sampling operations.
• Leakage detection and Forewarning Application: Goal is to detect small leaks that are undetectable from ATG sensors alone. It is of higher value for volatile oil which can evaporate faster, leaving no trace yet creating an unsafe surrounding. The app takes weather data into account.
• Flow Assurance Forewarning Application: Initial application discussions are ongoing around Asphaltene Deposition Forewarning. Goal is to apply the Intuition concept for sub-sea transportation network where surroundings and mixed oil conditions can drastically change the deposition rate.
• ResVoirX utilizes mud gas & drilling data + SME powered CausX AI to provide reliable fluid density and other reservoir property estimates.