Senslytics’ CausX AI™ allows you to diagnose high stakes issues in energy systems early :
Stop pipeline corrosion before an incident
Get early and dependable reservoir fluid property estimates with mudgas logs
Utilizing artificial intelligence for early detection in geological, chemical, and biological systems remains a struggle for multiple reasons.
There are limited examples of events. This results in too little data to train a model.
Significant delay between a cause and the resulting effect prevents models from seeing correlation. This is critical due to the catalytic properties present in nature.
Probabilistic answers aren’t sufficient. Definitive answers are needed to forewarn of events where lives or significant dollars are at risk.
CausX AI was developed with a data-light approach, making definitive predictions with a handful of data sets.
Unlike traditional machine learning, the CausX AI model combines domain expert knowledge with dynamically selected data allowing for understanding of all the situational factors.
CausX AI software can identify the cause of an event using situation signatures and validates data through multiple views. It then generates conclusions that are more definitive any than probabilistic approach.
Read our full Technical Overview.
Unlike most machine learning applications, Senslytics’ CausX AI platform is:
- Definitive: the model knows when it has a reliable interpretation and when it does not
- Explainable: reasoning is provided for all decisions
- All-Encompassing: understands “outlier” behavior
ResVoirX
Move mudgas logging estimations closer to ground truth for GOR, viscosity, API gravity, and density.
CorroX
Identify areas of accelerated corrosion growth and its cause early to increase asset run time and longevity.
Contamination Monitoring
Avoid fluid sample contamination and excessively long jobs during wireline formation tests.
Future Use Cases
Have an idea for a new use case?
Implementing CausX AI to build a new solution is a streamlined 6 step process :
