E&P operators collect vast amounts of data, but they are typically captured and stored in legacy systems, software applications, and databases that are contained in isolated silos depending on the function (i.e. exploration, drilling, completion, production, etc.).
When an analysis, whether routine or novel, requires data from multiple sources, the typical process involves manually exporting data from each function into a spreadsheet on an ad hoc basis, and this often burdensome process must be repeated every time the analysis needs to be updated.
Datagration’s PetroVisor platform automates this process and utilizes AI / ML analytics to remove human subjectivity, enabling its customers’ employees to have more time to evaluate and implement improvements from analytics rather than spending most of their time gathering and cleaning data.