Effectively Utilize Data Produced by Your Wells

The fall in oil prices in recent years has coincided with the rise of the disruptive technologies of big data and AI-driven automation. You might think these innovations would have brought about a renaissance of innovation-powered efficiency in the oil and gas patch and, to some extent, it has. However, many operators have fallen short when it comes to translating the availability of extensive operational data into enhanced productivity (and production) in the field. A primary culprit in this scenario is that the firm’s lease operators often don’t trust the data they are receiving from these systems. To effectively utilize data produced by your wells, you must trust it.

What good is field data if your lease operators don’t trust it?

Producers hoping to jump on the big data trend, which enables E&P operators to optimize their operations using field intelligence, need to realize that inundating pumpers and other well service personnel with a tsunami-like flood of field intelligence is unlikely to have much of an effect if the data isn’t seen as adding value.  Leading operators invest in innovative field intelligence tools that allows pumpers to trust the data by providing them with actionable insights that they can use to work more productively.

With the inability for all personnel to view and analyze the same data, they can’t properly analyze and act upon it. Only when all divisions of the workforce have near have near real time data access, they’re unable to communicate and collaborate to make fast, actionable data driven decisions that focus on production trends and downtime to improve operational effectiveness.  By analyzing downtime across multiple dimensions, managers can visualize the most significant downtime reasons and implement different operation methods and design.

Trust in the data accelerates lease operator’s performance

In a Seven Lakes whitepaper on the use of automation in the oil and gas patch, the director of technology of a major Bakken producer explained how JOYN FDG helped his company overcome some earlier difficulty with SCADA data generated from past acquisitions the company had made. The bad data provided by the legacy systems made it hard for the company’s lease operators to trust the company’s field intelligence data.

“SCADA is great as long as you validate everything you see upfront,” he said. “If the operators don’t trust the data, your ability to get them to act on the insights it can generate will be extremely limited. You’ve got to make sure all those things match up, so there’s got to be a lot of checks and balances to test these out to make sure it’s right.”

The producer utilized JOYN to provide its well service personnel with reliable insights from the tool’s data analysis functionality. As they learned to trust the data, they became comfortable with using the information it provided them to more productively perform their day-to-day tasks. This resulted in the Bakken producer realizing significant productivity improvements, driven primarily by the quality of the information JOYN enabled it to make available to its lease operators and decision makers.

With AI driving efficiencies in every area of the energy industry, making sure you have the right tools in place to turn the insights it delivers into actionable intelligence is key to enhancing operational efficiency. Adding JOYN FDG to your field intelligence toolbox can enable you to harness the plentiful information generated by modern field intelligence sources by turning it into data that your lease operators can trust