Legacy enterprise content management systems and storage procedures are not suited for today’s fast-paced upstream E&P environment. Their tendency to compartmentalize data by media type or business department makes it very hard for employees and operators who need information to access it reliably. As a result, these kinds of systems and procedures often cause delays for crucial E&P decisions.
Archeio offers a solution to this isolated data management problem by implementing a cloud-based energy driven enterprise content management system called SkyWell®. The system is a full-service solution specifically tailored for E&P, which offers a web and mobile-based user interface that taps into powerful data-driven file management software. This combination makes content easy to access while allowing for a rich set of features through multiple map and analytical displays for more intelligent decision making.
As the infographic above shows, Archeio begins by centralizing multiple isolated business units data into one of SkyWell’s secure applications. Next, the software uses a combination of business logic and algorithms to classify the information into a searchable metadata driven format. After, the system will enable keywords, digits or phrases to become searchable from any device across multiple assets, fields, units, pads and wells. This form of automation accelerates the speed at which operators onboard assets from acquisitions, mergers or divestiture and provides a central access point to share data across the company faster.[“With Archeio, finding the data you need is as much as 60% faster.” “Archeio improves our ability to make sound decisions because we have a complete data set to work with” (Dir of Engineering, Public E&P NYSE)
Compared to traditional methods, this centralization approach to classifying and searching well & land data has been proven to accelerate critical decision making and save significant operational efficiencies for exploration & production companies to maximize company productivity and reduce time spent searching isolated data silos.