PerGeos for Digital Rock and Core Analysis

Engineered for Oil and Gas

PerGeos is the industry's first digital rock software designed to help geoscientists rapidly interpret digital rock imagery so that E&P engineers can quickly and easily obtain meaningful, actionable data. Its visualization, processing, and analysis of 2D and 3D digital rock imagery enables improved evaluation of reservoir quality and faster understanding of static and dynamic rock properties that impact production.

PerGeos is comprised of the most advanced set of artifact removal, filtering, and analytical algorithms on the market. It can be used as a standalone software platform or bundled with a variety of applications to customize the user experience with additional functionality for digital core analysis.

PerGeos delivers:

  • Collaborative Core Analysis - Multi-disciplinary sharing of information to build a common rock model
  • Consistency in Data Processing & Modeling - Automated workflows to streamline efficiency and implement best practices
  • Confidence in Results - Multi-scale, multi-modal image analysis to help users validate observations and properties from a variety of datasets
  • Customized for Oil & Gas - The most advanced set of artifact removal and analytical tools on the market designed specifically for oil & gas reservoir characterization & digital rock analysis

PerGeos 1.1 is now available!

What’s New in PerGeos 1.1?

Collaboration - Building a Common Rock Model

Oil companies currently analyze a wide array of image data types and formats when trying to understand the physical characteristics of reservoir rock. By learning how those characteristics relate to the potential value of a reservoir, geoscientists can then relate those observations to the production techniques required to optimize that value. Information extracted from these disparate sources can now be managed digitally with PerGeos via a collaborative workspace.

PerGeos offers a flexible, multi-disciplinary, modular architecture that supports the exchange of information and rock statistics between geologists, petrophysicists, and core analysts. Such collaboration facilitates the creation and sharing of a common rock model much faster than with traditional core analysis methods.

In addition to the standard, built-in, automated image processing workflows, PerGeos offers a suite of applications that provide a customizable user experience. Users can select from the following add-ons:

  • Core Profile: A powerful, whole-core data application that enables co-visualization of whole-core CT, core photography, and petrophysical logs in a single workspace. Core Profile also creates virtual logs based on whole-core CT data for further calibration and communication of how changes in rocktype impact how petrophysical properties are measured down-hole.
  • Petrophysics: A suite of models for rock property analysis and simulations to derive measurements such as absolute permeability, Archie m (from formation factor F), thermal properties, and MICP saturation curve simulation.
  • Pore Statistics: An application that contains a straightforward operation to extract a pore network model from a segmented 3D dataset (FIB-SEM or microCT). The application includes automated workflows to quantify 2-phase and 3-phase fluid storage.

Consistency – Implementing Data Processing & Modeling Best Practices

PerGeos helps geoscientists rapidly interpret digital rock imagery to better understand formation features and measure physical properties on reservoir rock. A simplified user interface is combined with automated workflows, allowing users to quickly create and curate best practices to ensure high-quality data regardless of the image modality (CT, SEM, optical microscopy, etc.) and independent of the user’s intimacy with the software.

Confidence – Generating Reliable Data, Faster

Multi-scale, microscopic imagery and advanced digital rock modeling provide the only direct measurement for analyzing critical structural characteristics and physical properties, such as grain size, pore space and connectivity, clay distribution, and porosities associated with mineralogy or organic matter. The integrated philosophy of PerGeos enables users to investigate and combine multi-modal datasets to qualitatively and quantitatively validate results, giving greater confidence in the reliability of the observations and derived properties. PerGeos features tools to side-by-side compare and/or fuse datasets; for example, optical thin sections and mineralogy can be overlaid with ease. It also provides new functionality for core analysts who want to understand observations from core- to pore-scale.

The speed and accuracy with which PerGeos delivers digital rock results is important for reservoir engineers awaiting these critical inputs 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.

Customized – Engineered for Oil & Gas

PerGeos provides the flexibility to customize workflows via an intuitive user interface designed specifically for oil and gas reservoir characterization and digital rock analysis. PerGeos incorporates new artifact removal and analytical tools, including microCT beam-hardening filters and MICP simulation workflows that provide any user the valuable tools needed to answer the most challenging image and analytical questions. Even for non-experts, customized workflows are possible through FEI’s in-house experts, who can create custom scripts to fit any requirement.

Featured Document

PerGeos Brochure

PerGeos is a robust software platform for visualizing, processing, and analyzing 2D and 3D digital rock imagery that enables improved analysis of reservoir quality and faster understanding of static and dynamic rock properties that impact production. PerGeos can be used as a standalone software platform or bundled with a  variety of applications to customize the user experience with additional functionality for digital core analysis.

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