RPA Can Help Oil & Gas Weather Industry Volatility

Tangentia | RPA Can Help Oil & Gas Weather Industry Volatility
  • Tangentia | RPA Can Help Oil & Gas Weather Industry Volatility
    Tangentia | RPA Can Help Oil & Gas Weather Industry Volatility

    RPA Can Help Oil & Gas Weather
    Industry Volatility

We live in a world of uncertainty, a world in which COVID-19 continues to rage around us, disagreements between OPEC countries in early 2020 caused tension in the industry, and the world economy continues to suffer. This has resulted in unstable crude oil prices. In in the early months of 2020, the price of crude oil fell drastically. While these prices have rebounded, uncertainty still hovers like a spectre above the Oil & Gas industry.

Oil & Gas companies are working hard to navigate this unprecedented time in history, looking for ways to cut expenses as energy prices remain unstable. Cutting back on development, deferring projects to a future date, and focusing on regions that offer high tax incentives are all traditional tactics that help stem losses.

However, there is another solution that the Oil & Gas industry has previously been slow to adopt, yet can result in significant cost savings and increased productivity. It is the adoption of robotic process automation (RPA), which makes it possible for Oil & Gas companies to streamline processes and operations like never before.

What Is RPA?

RPA is an automation technology that uses intelligent software-based robots or “bots” to intelligently perform tasks that are important, yet repetitive and time-consuming. The result is that processes can be completed more quickly, while eliminating human error. This, in turn, results in increased productivity, lower costs, and the ability to free up employee time to complete high-value tasks.

How RPA Can Help

RPA can benefit upstream, midstream, and downstream Oil & Gas operations, improving and simplifying processes and so much more. From enhancing exploration and production with the use of powerful data analytics to monitoring field infrastructure and equipment to automating all aspects of shipping logistics, RPA can save thousands of human work hours. This leaves your employees with the time to analyze the data and make decisions that can mean the difference between just getting by and thriving. Here are some examples of how RPA can make a significant difference:

Enhanced Exploration

The interpretation of seismic data is critical when it comes to discovering potential drill sites. RPA algorithms can be set up to take raw seismic data, migrate and organize it and conduct a visual interpretation of that data, something that takes hours to do manually.

In addition, when exploratory wells are drilled and core samples are taken, the data from the samples can be fed into an RPA algorithm that can identify the presence of microfossils that are indicative of favorable geological layers for the presence of oil. In addition, the algorithm can analyze the porosity of the rock and estimate the amount of oil recovery that can be expected from cross-sectional images of the core samples.

Pipeline Monitoring

A great example can be seen with pipelines, which have become an increasingly important part of the transportation of oil and gas over long distances. RPA can be used to monitor and maintain thousands of kilometers of pipelines safely and accurately.

The data and reports that are sent in from field workers would take hours to go through manually. However, RPA can search through massive amounts of data within seconds, pulling meaningful insights from it that you then have time to review and analyze, so you can provide the best possible feedback to your field operators.

Optimization of Oilfield Services

Thanks to the Industrial Internet of Things (IIoT), sensors can be placed on all types of equipment, from service trucks to wells to chemical additive totes. RPA can then be programmed to analyze the data that comes in from these sensors, allowing intelligent cross-referencing of the chemicals, equipment and transport required in the field to the control of inventory and transportation management. In addition, RPA can be programmed to access data related to past safety incidents to determine systemic root causes so they can be addressed, improving overall safety in the field.

Predictive Maintenance

RPA can be programmed to take the unstructured data from operator logs and cross-reference that with the design specifications of the equipment, historical operational data, and records related to inspections and repair. The analysis of this data over time will allow the software to create a maintenance schedule for all equipment and automatically create and send out work orders for maintenance tasks as they are needed. This will prevent equipment downtime and ensure the equipment continues in good operation for its expected operational lifetime.

How to Get Onboard with RPA

Adopting RPA to automate processes and improve data management is a critical part of decreasing costs, increasing productivity and improving your bottom line. This means that RPA adoption is also a critical aspect of weathering the price fluctuations in crude oil as we ride out this COVID-19 pandemic and beyond.

However, the adoption of RPA has to be approached in the right way. It is vital that you assess your business and operational objectives and determine which processes should be automated first to provide you with the greatest advantage. One of the best things about RPA technology is that it can be customized to suit your unique circumstances and can be scaled to meet the changing needs of your company and the industry in which you operate.

To find out more about what RPA can do for your Oil & Gas company and how we can help, reach out to Tangentia’s automation team today.

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Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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