Mitigating blow-outs by analyzing exploratory wells data

We examined the production well data and got to the root cause of the hazardous incidents

Discover how we excel in mitigating blow-outs through our expertise in analyzing exploratory wells data. Our case study showcases our commitment to safety and effective risk management in the oil and gas industry.

About the Industry

The upstream scenario post-COVID demands primarily on the responses of two factors. These two determining components are the demand effect and the OPEC responses. As per the trend studied over the period, the market observed a uniform reduction in demand and output production. This evenness balanced the upstream scenario overall. The demand-supply ratio has been volatile throughout the year, which kept the price in a steady state. Talking of the business processes and framework, the energy companies are on the verge of centralizing the upstream activities. By transitioning into the agile culture, the industry will eliminate the non-value adding tasks and simplify the enterprise workflow. The role of data and analytics will empower the onshore engineering team to achieve operational efficiency with greater ease.

About the Client

Our client is a renowned oilfield service provider company with its presence in multiple countries. Over the years, they focused on expanding its operations and acquisitions across the untapped regions of the world. Recently they acquired the seismic operation unit of a firm to upgrade and transform its data processing management. They carry a large pool of talented resources, with employees engaged in different tasks. They also have an outstanding team of software & information management that implements the latest data-enabled technologies.

The Business Challenges

Our client was on a mission of conducting some historical analysis of the exploratory wells. In due course, they faced the following challenges:

  • Many wells in the past experienced the deadly blow-out. The reason behind such incidents remained unnoticed for a very long period.
  • Experts were unable to draw insights out of the available data at present.
  • On-location safety of the workers was the fundamental priority of our client.
  • They also had to revise and add few guidelines to the safeguard manuals meant for the public.
  • We lacked an analysis of the compound named hydrogen sulfide and its role in causing the blow-out.

The Business Solution

  • We prepared a list of wells that experienced the blow-out incidents and collected all the relevant data for an in-depth analysis.
  • Based on the latitude and longitude coordinates obtained from the well’s API, we established a geographical correlation among drilled wells.
  • The data team collaborated with the chemical experts to identify if hydrogen sulfide was the root cause for the blow-out. We equipped them to handle any such challenges in the future.
  • Using Power BI and Python, we mapped all the problematic wells and their geographical data. The advanced reporting features helped locate the wells with a large concentration of hydrogen sulfide.
  • The predictive analytics solution forecasted all the potential risks that might occur in the future and helped prepare the mitigation plan for them.

Key Results

  • Drilling the offset wells has become much easier for our clients.
  • The exploration efficiency has significantly improved, resulting in a maximized throughput.
  • Implementing the right solution reduced the undue expenses and financial burden.
  • Better allocation of resources guaranteed the on-time completion of the project.

For ML & Predictive Analytics

Contact Us

Looking for similar solutions

Talk to our Experts
Check Also

Related Case Studies