Return to site

Pumping More With Lower Cost: The Benefit of Automation

· Oil,Energy,Energy Technology

Pumping More With Lower Cost: The Benefit of Automation

Technology has already transformed labor needs in most of the worlds manufacturing. Nowadays, artificial Intelligence and automation are replacing workers in the energy sector, ending the last sector in America where blue-collar workers are generously paid.

The energy sector has been shielded from pressure to innovate by high oil prices. When prices fell 75% over 20 months beginning in 2014, oil and gas companies were forced to modernize to create profit.

Realizing that they could use new technologies to do the work better and cheaper with fewer people, energy companies are starting to pick up the concept of “digital oil fields,” which embraces artificial intelligence, automation and other technologies.

After oil’s dramatic crash this week due to Saudi Arabia and Russia’s decision to pump more crude and not participate in OPEC-led cuts, even the smallest operators will need to reevaluate their expenses.

Despite the downward trajectory of the energy industry over the past 6 years, the US shale producers have been pumping away, continually topping record levels. U.S. crude oil output first hit 10 million barrels per day in November 2017.

Production grew to 12.9 million barrels per day by November 2019. The U.S. Energy Information Administration expects hydraulic fracking output to edge up to 13.2 million barrels per day in 2020. However, energy employment is down 21% overall since 2014 due to automation in the industry.

According to David Rontal, Managing Director & General Counsel of Overland Oil, “Upstream operators will use the recent price crash to double further down on automation and Ai to drive down costs not only at the wellhead, but across the entire corporate structure.”

Automated control systems can send commands to underground tools that capture data on a well’s geologic formations, flow rate and other variables, sending real time data and monitoring possible leakages. Smaller teams of technical specialists located in remote operations centers are replacing laborers on the ground, who in the past made adjustments manually.

The most significant returns have come from centralizing and organizing data. In the past the company had to scan millions of pieces of paper just to get a handle on what it had. Now, everyone has access to real - time drilling software company wide.

The three most important factors that influence the operations of companies in the energy sector are capex, operating lease and commodity prices. The capital expenditure of energy companies could be largely decreased with the help of automation.

Technological changes were meant to deal with labor shortage and thus are critical at a time of tightening labor markets. However, It is unclear whether in the future artificial intelligence would go to the other extreme of causing high unemployment in the industry.

One thing is certain: as AI and automation would definitely take away some occupations, they would create new roles such as drilling engineers etc. Besides, It could be observed from other industry that sometimes new technology replaces no one’s job, but instead just made people in the correspondent field experience a steep learning curve.

Interview with NASA Astronaut Scott Kelly: An American Hero​

13 Questions With General David Petraeus

Why Choose Machine Learning Investing Over A Traditional Financial Advisor?

Interview With Home Depot Co-Founder Ken Langone

Interview with the Inventor of Amazon's Alexa

Automation and the Rebirth of American Retail

China Debuts Stealth Unmanned Combat Aerial Vehicle

Sweden's Economy Embraces AI & Automation

Austria's Automated Ai & Robotic Future Is Now

Nuclear Submarines: A 7,000 Lb Swiss Watch

Ai Can Write Its Own Computer Program

On Black Holes: Gateway to Another Dimension, or Ghosts of Stars’ Pasts?

Supersonic Travel: The Future of Aviation

Was Our Moon Once Habitable?

The Modern Global Arms Race

NASA Seeks New Worlds

Cowboy Turned Space Surgeon

Shedding Light on Dark Matter: Using Machine Learning to Unravel Physics’ Hardest Questions

When High-Tech Meets Low-Tech Economy: Ai & the Construction Industry

Aquaponics: How Advanced Technology Grows Vegetables In The Desert

The World Cup Does Not Have a Lasting Positive Impact on Hosting Countries

Artificial Intelligence is Transforming the Forex Market

Do Machines Dream? Inside the Dreams of a Machine

Can Ai Replace Human Ski Coaches?

America’s Next Spy Plane

Faster than Sound and Undetectable by Radar

The Implications of Machine Learning on Condensed Matter Physics & Quantum Computing

Crafting Eco-Sustainability: WTC and Environmental Sustainability

Can Ai Transform Swimming?

Argentina's AI Future: Reversing a Century of Decline

Tennis & Artificial Intelligence

Kazakhstan's Ai Aspirations

Peru's Ai Future Will Drive Economic Growth

The Colombian Approach to the AI Revolution

How AI Can Explain Its Thinking

Singapore: Ai & Robotic City

Ai in New Zealand

Brazil & Artificial Intelligence​

Denmark & Ai

Can Ai Replace Human Ski Coaches?

Tennis & Artificial Intelligence