DATA SCIENCE APPROACH

Hard-core science and engineering disciplines uses deterministic physics based modeling.

The oil and gas sector is no exception, where

– the physics is poorly understood

we have lots of observations but no reliable set of equations

– the uncertainty is large

we have lots of observations and reliable equations, but many uncertain model parameters

IoT – A data management platform that connects heterogeneous and voluminous datasets
Data-driven methods can help to

Improve our understanding

Reduce uncertainty

WHY DATA SCIENCE APPROACH FOR OIL AND GAS?
What is a Data Science Driven approach?

Our Data science driven approach for Oil & Gas has four components

  • Oil and Gas Domain Expertise
  • Data Science expertise
  • IoT – A data management platform that connects heterogeneous and voluminous datasets
  • Analytics Engine that runs predictive models

Our team of domain experts, data science experts, digital technologist, data management professionals have created predictive models and approaches. These models seamlessly connect to the datasets through IoT, have repeatable and customizable workflows and logic, an user friendly interface (Dashboard), and a powerful analytics engine that runs analytics.

DEEP LEARNING IMPLEMENTATION OF LEARNING