MACHINE LEARNING

We know that machine learning can make significant impact on helping oil and gas companies improve key metrics across the value chain.We help companies embrace Machine Learning in their day-to-day operations.  We are tuned and highly oriented towards Machine Learning methodologies to turn those large volumes of data into actionable insights like you have never seen before.
If you are in knee deep  stages of implementation, or in the process exploring how to get started, and including for those who have established on- going projects. At any stage, we understand how we can help you  maximize the value of Machine Learning applications in their operations and how they can embrace the future of Machine Learning

CASE STUDIES

INTERPRETABLE INTELLIGENCE
Integrate and harness multi-sensor data to classify operating states, discover new states, and identify anomalous behavior in real-time.

ANTICIPATORY INTELLIGENCE
A stitch in time saves nine. But what if you could predict where to stitch! Deploy our models to predict failures in critical assets ahead of time, avoiding unanticipated costly downtimes.

DEEP FOCUS
Data in the O&G sector is high-dimensional, heterogeneous, and multivariate. Use our custom frameworks to identify and capture complex interdependencies in such data sets.

SERVICES AROUND DATA SCIENCE

CLASSIFY
Operational states for continuous monitoring

DISCOVER
New patterns or modes as they occur

ANOMOLIES
Detect deviant behavior

Interpretable intelligence machine learning models are adept at digesting well-featured streaming data to classify labeled states, or even discovering new unknown states. Deploy such models to monitor ongoing operations or flag anomalous operation. We strive to develop models that are not opaque or “blackbox” but those that lend better interpretability.

PROACTIVE
Adopt the best posture

ANT​ICI​PATE
To be better prepared

CORRECT
Take the right action

Anticipatory intelligence-can we move beyond regression models for risk prediction? We believe we can judiciously combine feature-rich data with structurally rich neural architectures to address challenges traditional regression-based methods struggle with. Deploy these models to anticipate potential failures, assuming a proactive stance. 

REPORTING

Establish a Reporting Platform

DASHBOARDS
Executive, Operational and Reactive Dashboards

VISUALIZATION
Effective and Representative

Business intelligence-drive business intelligence reporting through self-service methods with an effective data governance. Metrics, performance and overview through drill-down dashboards. Advanced visualization techniques for better interpretation

DESCRIPTIVE
Gain Insights from historical trends

PREDICTIVE
Forecast the likelihood of future outcomes

PRESCRIPTIVE
Optimize for best outcomes

Advanced analytics - descriptive analytics drills down into data to uncover details such as the frequency of events, the cost of operations and the root cause of failures. Predictive analytics provides answers that move beyond using historical data as the principal basis for decisions. Prescriptive analytics provides recommendation for better outcomes.

FEATURES
Infer the ones that matter most

SHARPEN
Denoise

OPTIMIZE
Right-size for best outcomes

Deep focus - machine learning models don't magically produce miracles with volumes of data. Quality matters. But how do we cope with the 3V’s of big data? Add to that sensor noise. Welcome to feature engineering. Our frameworks use the state-of-the-art algorithms for dimensionality reduction to obtain low-dimensional latent representation of your datasets to drive the models.