Data & Analytics

Case Study: Devon Energy and Software Partners Enable Automatic Bottomhole Pressure Calculations

Devon Energy along with petroleum engineering consulting and software firm Whitson and cloud computing company Snowflake developed a system to monitor the dynamics of 5,000 wells.

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Source: Getty Images

More than a decade ago, Devon Energy made it a priority to enhance its digital infrastructure, which has led to a step change in internal data access along with how the company securely works with its third-party vendors.

Easy access to relevant, trustworthy, and value-adding data has become the norm, not the exception, for the US oil and gas producer’s subsurface engineering teams. The upside extends beyond mere convenience, however, and translates directly into faster decision making which is one of the keys to success in the dynamic landscape of unconventional developments.

When data is seamlessly connected for daily consumption, engineers engage with it regularly, integrating it into their daily workflows. Additionally, we see that the frequency of use is directly correlated with accessibility.

The emphasis on accessibility reflects Devon’s proactive efforts to treat its data more and more as a valuable asset. By democratizing data and analysis tools, business-impacting insights are more readily available to engineers and decision-makers throughout the organization.

This case study outlines one of the most recent and tangible outcomes of this collaborative philosophy: automatic calculation of bottomhole pressure (BHP).

Solving for Bottomhole Pressures

As shown in Fig.

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