Monthly Newsletter

subscribe to our newsletter & stay updated

Using predictive analytics to manage GHG emissions

Our predictive model solution helped lower the carbon footprint and risks associated with climate change

Discover how Bizmetric’s groundbreaking predictive analytics solution is making a positive impact by effectively controlling Greenhouse Gas emissions. Explore our case study to learn more about our eco-friendly innovation.

About the Industry

The upstream sector in the energy domain is undergoing a significant transition. The increased implementation of strategic technology has a direct impact on the sustainability of exploration projects. While the environmental concerns and the ecological factors do influence the enterprise-level decision-making, the implementation of the right mix of processes and frameworks delivers optimized business results. The deep-sea exploration of the carbon components demands the solution with an edge. Virtual Reality-based 4-D seismic technology solution has predominantly helped geophysicists and geologists cite exploration sites with maximum potential. As the fourth dimension of this technology is time, analyzing the future financial prospects becomes easy for the industry. The emerging data-driven solution is the industry need, a trend that can help shape the industry’s future.

About the Client

Our client is one of the top US-based oil and gas firms, serving multiple nations with exploration and production services. Offshore field development, feedstock processing, and carbon components marketing are the areas where they have delivered some of the historical performances. To keep pace with the changing market dynamics, the company has followed the concept of regional diversification. They are also venturing into different areas of oil and gas operations for a profitable business expansion.

The Business Challenges

Our client is a well-known upstream service provider in the energy space. They encountered the following challenges in their production activities:

  • Identifying the historical wells and their past throughput performance was the biggest challenge before our client.
  • Unavailability of the production and drilling data paused the data analysis work and hindered the critical enterprise-level decision-making.
  • Locating the hidden causative agents behind the alarmingly rising greenhouse gas emission was one of the environmental concerns for our client.
DO MORE WITH BIZMETRIC

The Business Solution

  • We identified all the locations that once had outstanding production results and gathered their drilling reports.
  • Our data science experts ran predictive analytics models on these data and came up with the determinants that could help our client reduce greenhouse gas emissions. The controlled flaring was one of the contributing agents in lowering down the pressing environmental challenges.
  • The data analytics operations analyzed the specification and features of the equipment used in the drilling and concluded which set of devices would improve the overall lifecycle of the well.

Key Results

  • We enabled the oil well operators to have an extra edge in making better business decisions.
  • The GHG emission graph drastically tapered downward by 15-20%, resulting in favorable environmental impacts like lowered carbon footprints.
  • Improved operational results captured the investor’s attention for business expansion.

For ML & Predictive Analytics

Contact Us

Looking for similar solutions

Talk to our Experts
Check Also

Related Case Studies