FEI released PerGeos, a product that the company says is the industry’s first comprehensive digital rock software that helps geoscientists rapidly interpret and model digital rock imagery so that exploration & production (E&P) engineers can obtain meaningful, actionable data quickly and easily.
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Image of a digital rock, courtesy of FEI. |
According to FEI, PerGeos provides a better understanding of formation features and physical property of reservoir rock. Multi-scale, microscopic imagery and advanced digital rock modeling provides the only direct measurement for analyzing critical structural characteristics and physical properties, such as grain size, pore space and connectivity. Using PerGeos, core analysts, geologists and petrophysicists can integrate data from multiple sources and share descriptions and statistics using a common platform. It features automated workflows, high-powered image processing algorithms and a user-friendly interface.
The initial PerGeos release consists of three modules: petrophysics, pore statistics and core profile.
Each module is designed to help users make statistical observations about the sample as it relates to their specific function, and then allows them to transfer this knowledge to a digital environment for interactive assessment by the entire asset team. This is a unique feature that provides cross-discipline collaboration, and enables all users to gain a common understanding of how the rock models are created – an important aspect in validating and understanding the contributors to reservoir viability and producibility.
“Oil companies work with and analyze a bewildering array of image data types and formats when trying to understand the physical characteristics of reservoir rock, how those characteristics relate to the potential value of a reservoir, and relate those observations to the production techniques required to optimize that value,” said Mark Bashforth, general manager of FEI’s oil and gas business. “This information can now be managed digitally through PerGeos, via a collaborative workspace to create and share a common rock model much faster than using traditional core analysis methods.”
Bashforth added: “This is very important for reservoir engineers awaiting these critical inputs, such as capillary pressure, porosity and permeability, for their geomodels; knowledge of these properties helps asset managers visualize and understand the ultimate potential recovery of a reservoir, thereby improving their estimates of reserves and overall production-related CapEx investments.”
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