AI/machine learning

Unsung Hero: Artificial Lift Boosts Production Without Breaking the Bank

New and evolving artificial lift technology is helping operators improve production rates.

ESP-lifted wells using fully autonomous set-point optimization driven by machine learning at a Vital Energy field. Source: Vital Energy.
ESP-lifted wells using fully autonomous set-point optimization driven by machine learning at a Vital Energy field.
Source: Vital Energy.

In the quest to cost-effectively boost production, operators are experimenting with artificial lift methods and how digital tech can boost its performance.

Artificial lift experts are increasingly adding artificial intelligence (AI), machine learning (ML), and autonomous operations into their workflows because these data-driven technologies are demonstrating they can generate uplift when they are thoughtfully developed and deployed. Operators are also looking at the performance of high-pressure gas lift (HPGL) wells compared to wells using electrical submersible pumps (ESPs) for artificial lift. Finally, operators sometimes have to decide whether to risk replacing equipment that seems to be functioning, even if at subpar levels, in a bid to increase production.

Digital Boost

Optimized gas lift workflows and autonomously implemented ESP set points are helping ExxonMobil and Vital Energy produce more oil.

Gas lift is a popular artificial lift method partly because the system is simple, robust, and inexpensive to operate, but optimizing it has historically been time-consuming. SPE 219553 outlines ExxonMobil’s approach to automating gas lift optimization for wells in the Permian Basin.

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