The world changes too fast to depend on top-down decision making. Engineering teams must be empowered to generate, and act on, their own technical analysis. At the same time, modern technical challenges require cross-functional teams that may be distributed globally. How then, do fragmented teams of domain experts collaborate to deliver high-quality decisions?
The answer is Connected Analytics.
Step 1: Merge subsurface and operational data
Petro.ai delivers an industry-first environment for blending and interrogating 100+ operational and geotechnical data types: the Petron. Petrons allow operational data types (e.g. WITS streams, frac van files, production volumes) to be contextualized by subsurface data types (e.g. directional surveys, SEG-Y, fiber optics). Data blending and co-visualization is now as easy as a drag-and-drop.
Step 2: Apply your own expertise to the work product
After loading the appropriate data types into a Petron, you can begin to perform your own analysis. Use previously developed models (stored in other Petrons), or uncover new relationships using Petro.ai’s inbuilt machine learning. No need to create a PDF or upload a shared drive; your new Petron is automatically stored and updated across your team.
Step 3: Collaborate with your peers
Petrons provide a social workspace for experts to annotate data, share newly created models, and collaborate like never before. Each team member can independently perform their own knowledge work, all from the same source – a shared Petron. As new analysis is performed, the Petron and all dependent workflows are updated to reflect the team’s latest insight.
Step 4: Build new value and start the next wave of optimization
With the power of the Petron, engineering teams can focus their energy where it matters: making the next well more efficient and more productive. By iteratively and fluidly incorporating new learnings, the possibilities are endless.
Connected analytics is a new assembly line. Rather than passing physical products to the next station, modern engineers are passing digital knowledge work to the next area of expertise. This modern workforce must be able to interact with their peers digitally, expects a high level of interactivity, everyday tools to support remote work. Incumbent software was not designed for the challenges of this century; Petro.ai, and the Petron, were born in it.