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What is One Virtual Source?

One Virtual Source effectively combines data and improves asset efficiency by utilizing automated workflows. This optimization of operations enables businesses to increase production rates in a reduced timeframe while conserving resources. From executive offices to field operations, One Virtual Source is making a notable impact within the energy sector. This cutting-edge solution is equipped with automated workflows tailored to enhance asset performance. With flexible and scalable workflows, it streamlines data integration, accommodating various sources and asset types effortlessly. Teams utilizing One Virtual Source are empowered to make faster, more informed decisions. The architecture of One Virtual Source seamlessly connects your data in real time, ensuring a consolidated view without the hassle of replication or migration. It provides centralized access to all relational databases, real-time historians, and unstructured data formats like Microsoft® Excel®, all while maintaining the integrity of existing system frameworks and minimizing disruptions. Additionally, this integration promotes teamwork and boosts operational transparency throughout the entire organization, leading to more cohesive and efficient workflows. By leveraging these capabilities, companies can position themselves for long-term success in an increasingly competitive landscape.

What is Cegal Prizm?

Cegal Prizm is a versatile tool designed to enable the smooth integration of data from multiple geo-applications, data sources, and platforms within the Python ecosystem. Its modular architecture allows users to combine geo-data sources for advanced analysis, visualization, data science processes, and machine learning tasks. This innovation provides solutions to challenges that traditional systems struggled to address effectively. By leveraging modern Python technologies, users can enhance, accelerate, and refine standard workflows while developing and securely distributing customized code, services, and technologies to a community of users. Moreover, it easily interfaces with the E&P software platform Petrel, OSDU, and various third-party applications and domains, facilitating the access and retrieval of energy-related data. Data can be transferred efficiently, whether in local setups or across hybrid and cloud environments, into a cohesive Python framework that yields deeper insights and greater value. Additionally, Prizm allows for the augmentation of datasets with extra application metadata, enriching the analytical processes with added depth and context. This capability not only enhances the datasets but also promotes a collaborative atmosphere among users, encouraging innovation and shared learning within the community. The integration of such features makes Cegal Prizm a pivotal solution for modern data challenges in the geospatial domain.

Media

Media

Integrations Supported

Petrel
Python

Integrations Supported

Petrel
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OVS Group

Date Founded

2006

Company Location

United States

Company Website

OVSGroup.com

Company Facts

Organization Name

Cegal

Date Founded

2000

Company Location

Norway

Company Website

www.cegal.com/en/software/data-science-and-cegal-prizm

Categories and Features

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Oil and Gas

Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management

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