How Bigdata Analytics can benefit Oil and Gas companies?
Big Data is the Oil of new economy

Upstream is not stranger to Big Data, but understanding and adaption to technology is sluggish.

Applying a data science driven approach with advanced analytics and IoT brings a completely new perspective to the data & analytics practice and simplifies data analysis.

Big data and advanced analytics have proven track record of being effective in variety of applications (Feblowitz, J. 2012).

*Companies adopting a data science driven approach , are twice more likely to be in top quartile of financial performance, three times more likely in effective implementation and five times more likely to take decisions quicker within the sector or the industry (Bain and Company 2014).

BIG DATA ANALYTICS CAN HELP TO OVERCOME THESE CHALLENGES AND IMPROVE YOUR BOTTOM LINE
What is Big data Analytics for Oil and Gas?

Big data analytics for oil & gas follows a data science driven that combines.In our Exploration and appraisel service,we provide

  • Oil and Gas Domain Experience
  • Data science expertidse that uses advanced analytics
  • IOT- A data management platform that supports heterogeneous and voluminous data sets
  • Analytics Engine

to provide a good integral solution with the ability to connect data from multiple sources

BIG DATA ANALYTICS ADVANTAGE
Utilize Subsurface & operations data to drive proactive E& P decision making cost and improve recovery rate

Inject confidence in decision making by capitalizing on data science driven approach

Best practices for integration over wide variety of large data set

Increase productivity and efficiency across all major business functions

Big Data Analytics – A Transformative Process
Managing FDP Uncertainty
Use Big data analytics on simulation model outputsand predictions
Evaluation of what if situtations and forecast scenarios. Derive likelihood production profile Reducing time and minimize model updates Proactive decision making.

Micro Seismic Analytics
Big Data Analytics on Microseissmic data combined with well surveillance data
New insights from available data Predicts waterfront advance using Micro seismic data and well surveillance and pressure data measure injection efficiency Optimized and focused injection strategy

Predictive Fault Compartments
Big Data analytics on Fault connectivity
Indentify overlooked potential hydrocarbon bearing fault compartment Deeper insights on fault connectivity and transmissibility Increased Oil Production Optimized Capital spending

Stick Well Analytics
Use Big data analytics on lot platform on available data on a daily basis
Effectively use all available data in a single platform improve process efficiency. Avoid repetitive work capture the efficiency of past workover jobs available year around Facilitate proactive decision making

SICK WELL ANALYTICS – DASHBOARD