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Weatherford production optimisation software increases production for Middle East operator

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Oilfield Technology,

Weatherford has said that its Production Optimization Software Platform increased production by nearly 6000 bpd, boosting revenue by US$156 million over three years for a Middle East operator.

The platform enabled the customer to automate production monitoring, analysis, and optimisation asset-wide for 1700 electric submersible pump (ESP) wells. Once the Weatherford team mapped and identified the data requirements needed to build and sustain an automated ESP well model, they instituted automated data gathering, model tuning, and data-quality validation. These steps enabled the customer to proactively manage failures and opportunities in real time across all wells from a single, integrated platform.

"Weatherford digitalisation solutions place a premium on achieving a return on investment in a very short time while building value over the long term," said Manoj Nimbalkar, Vice President, Production Automation and Software, Weatherford. "The new model indicated optimisation opportunities in 40% of the customer wells, and within six months, this solution increased incremental production and revenue at a rate of 2000 bpd. In short, this solution paid for itself in a matter of weeks."

A critical customer requirement was that the solution must be able to expand beyond ESP to every form of artificial lift and enable pattern-recognition techniques for predictive failure management. The software platform integrated all data into a single system and eliminated data-quality issues, which led to a 95% increase in data-quality KPI compliance. The newly available integrated data and improved data quality allowed the customer to implement predictive-failure analytics for ESP wells by using machine learning, and also set the foundation for optimisation and predicting failures for other forms of lift.

"The operator selected the Weatherford production optimisation software platform as the sole system because of its ability to manage all forms of lift," said Nimbalkar. "The platform reduced downtime in some assets by 30% through proactive failure management and pattern-recognition models. This is the key to our technologies: Rather than only striving for more barrels, we make equal gains in asset uptime and personnel efficiency to deliver a value that is unmatched in the market today."

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