Making Impact on Oil and Gas Industries – Microsoft Advance Analytics


Advance analytics has the potential to improve and optimize the over all cost and improve the productivity for the Oil and Gas Industries. To make more profit the company must reduce the production cost and improve the productivity.

Microsoft advance analytics tools are creating an impact in analyzing the enormous data which is getting generated from various tools, logs and the IoT sensors. Most of the time companies didn't realize the importance of this data and are unaware of the key value that can be drive from this data.

Some of the key challenges which can be overcome and optimize are:

  • Drilling & Production Optimizing the drilling process and reducing the failure will let to the profitability to the organization. Analyzing the data on real time bases and generating the real time reports dashboard. Leverage the data from all the sensors and creating the self service analytics to drive the production and minimize the safety risks. Below is how to visualize real time data using some of the Azure services:


  • Predictive Maintenance The continues monitoring for the most critical and a complex equipment's is required so that the proactive maintenance or any fatal breakdown can be detected. The predictive maintenance approach required the historical data pointers for the particular type of machine which will help to build the predictive model. Azure Machine learning based model can be one of the key tool for building this type of system along with other tools and technologies.


  • Enterprise Security In the recent past, oil and gas companies have invested heavily to protect their property from any unwanted threats. Big data and analytics can be used to manage internal network threats. Correlating network events with metrics and identifying patterns to predict cyber-terror is critical. By using artificial intelligence, companies can now anticipate IT security breaches and are strengthening security with data from video monitoring. This can be achieve using Microsoft Cognitive Services and creating AI based system. Microsoft Cognitive Services is a set of intelligent APIs for building equally intelligent applications. It currently offers 21 different API for analyzing images, videos, text, and much more. For more information, visit https://www.microsoft.com/cognitive-services
  • Building End to End Data Lake Solution As data is continues to grow and we need a centralized repository to store any size, any type with enterprise-wide hyper-scale capability to process and analyze this data. Microsoft Azure data Lake Store and was architected from the ground up for cloud scale and performance. With Azure Data Lake Store you can analyze all of its data in a single place. It can be integrated seamlessly with your existing IT infrastructure providing you complete cloud big data and advanced analytics platform that helps you with everything from data preparation to doing interactive analytics on large-scale datasets.


Every method has its own pros and cons. It's fascinating that we have so many options to develop a particular solution. However I would strongly recommend to try these methods based on the use case of your systems.

Gaurav Agarwal

Comments (1)

  1. Dave Rendón says:

    great business case, thanks!

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