The Way Ahead — written by and for young oil and gas professionals
Digital Transformation

The New No-Collar Workforce: Way of Working Evolves With Technology in the Oil Patch

By Greg Archbald, founder of GreaseBook
The new no-collar workforce in the oil patch
Automation and remote work are reshaping careers across the oil patch.

The world of work is changing rapidly. With every passing year, more workers are doing their jobs remotely, more businesses are making use of automation, and more people are becoming fearful that artificial intelligence (AI) will render their jobs obsolete. Moreover, these changes and fears are not limited to the tech industry—they are affecting the oil patch as well.

The headlines around these topics are admittedly alarmist with threats of robots taking our jobs and alluring claims about how much businesses can save on labor costs when they replace human workers. They conjure a sinister image of a post-apocalyptic future in which machines run the world. But do these workforce changes truly represent a death knell for oil and gas field careers, or could they be just what we need?

As it turns out, businesses are not really out to replace workers with machines. Adding automation into the mix is simply meant to relieve workers of the burden of repetitive tasks and allow them to spend their time on more important work, and to let this happen, all we need to do is become more tech fluent. Let’s talk more about that.

Automation and other digital solutions are unshackling workers from the traditional office setting, allowing them to do some or all of their work remotely. In fact, nearly two-thirds of companies currently have full-time employees who work outside the office, and many—in anticipation of wider adoption—have gone ahead and woven remote work right into the fabric of their businesses by creating remote work policies.

Even companies without full-time remote employees are getting in on the remote work trend. The “gig economy,” or a market characterized by a rising number of people choosing to freelance or work as independent contractors, gives employers the flexibility to choose what kinds of employees to hire.

Got a short-term project? Hire freelancers. Running out of space in the office but it’s not the time to relocate? Hire remote team members who work from home, across the country, or even abroad. Right now, freelancers make up 35% of the US workforce, and that number continues to climb. Freelancing is here to stay.

When you are in the oil and gas sector, all this gig economy growth does not surprise you much. You already know all about working with contractors and freelancers. In oil and gas, field work can often be cyclical or project-based, and hiring contractors makes more sense logistically and financially. And from the perspective of contractors, the pay is very appealing. Freelance work is an all-around win, and it is easy to see why employers and workers continue to turn toward it.

So, the rise of freelancing is not that crazy, but AI on the other hand? That is a little crazy. AI is the use of machines to perform a task that requires some degree of human intelligence to complete. What exactly do we mean by intelligence? Think things like planning, learning, reasoning, problem-solving, perception, and sometimes social intelligence and creativity—the abilities that make us human.

You already brush against AI daily, when your credit card company flags a suspicious charge or your phone sorts your photos. Feed a machine enough data and it starts learning on its own; that is what we call machine learning (ML), and International Data Corporation (IDC) expects it to keep growing for years.

As you can see, tech moves fast. But the oil and gas industry is slower to change. In fact, according to the American Oil & Gas Historical Society, modern rotary rigs—although significantly improved for efficiency and safety—still closely resemble the ones used over a century ago.

Happily, though rigs may not have changed much over the years, the tools field operators use have. Instead of paper lists and spreadsheets, companies are implementing apps that allow operators to send information from the wellsite to the back office instantly. We are also seeing a rise in automated drilling as the idea of the digital oilfield becomes commonplace. The use of remotely steerable downhole and integrate-while-drilling tools produces lots of useful data that can streamline decision-making—for example, about whether to drill an adjacent well.

All these free-flowing real-time data make it much easier to budget and forecast, and it is the key to improving worker productivity and safety. Instead of monitoring equipment that can be run remotely or with automation, operators are freed up to use their expertise for more important work, and when data is automatically synced to the back office, there is no longer a need for administrative personnel to visit the field.

But it is not just tech that is changing on the patch. The people are also changing. People who work for small oil and gas operations have long been a part of the trending gig economy, working in the field on contract. But technology has made it possible to take oil patch freelancing a step further—now there is virtual operating.

A virtual operator does the job of running an oil and gas company remotely. Using technology to work remotely minimizes overhead. There is no need to rent or own an office space or keep many administrative staff on the payroll. And for those who would rather not be out in the field, virtual operating is perfect—the owner might set foot on a lease as seldom as every 4 to 6 weeks while his pumpers keep running their daily routes.

So, for someone who wants to get into virtual operating, what is the first step? Getting tech-fluent.

Tech fluency means getting comfortable with technology in order to let it help you. AI, ML, and automation are not here to take jobs from us. They are here to help us create digital oilfields, where machines handle the boring stuff so oil and gas experts can focus on what they do best.

For example, hundreds of oil and gas operators now collect their production data, run tickets, well tests, and downtime through the simple oil and gas production software known as the GreaseBook. The pumper enters his reads on the smartphone he already carries, before he ever leaves the lease.

The operator sees every well before his second cup of coffee, without a single sheet of paper changing hands, and the office no longer sends anyone to the field to chase numbers. It is the plainest working example of the no-collar shift: the machine does the retyping, and the people do the thinking.

Digital conferencing complements this real-time data sharing, allowing on- and off-site team members to easily confer and make rapid collaborative decisions. Remotely steerable downhole tools and sensors collect real-time drilling data like RPM, circulation solids, and downhole pressures, and continuously monitor conditions.

While the digital oilfield is still mostly conceptual, the rise of remote work and AI make it clear that it is where we are headed. Over the next few years, expect the appeal of the gig economy to attract more people to oil and gas, causing an increase in the number of virtual operators. The option to work remotely gives technicians the opportunity to stay in the industry they love, but to live wherever they like.

As more companies get on board with automation, it will be crucial to have better data, improved efficiency, and lower overhead in order to stay ahead. Look out for more companies starting to implement smart downhole tools that constantly monitor and measure drilling data, and watch wider adoption of apps that allow operators to track data in the field, right from their smartphones. The future is not here yet, but by welcoming automation and AI as allies, you can meet it head-on.

Greg Archbald
Greg Archbald
Founder of GreaseBook, an oil and gas production software. Archbald graduated from the Honors College at the University of Oklahoma with a dual degree in energy management and finance, and later attended ESADE’s global MBA program in Spain, where the idea for the GreaseBook app took shape.
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