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Description
Energy2D is an interactive multiphysics simulation program grounded in computational physics, designed to model the three primary modes of heat transfer: conduction, convection, and radiation, while also integrating particle dynamics. This software operates efficiently on a wide range of computers, simplifying the process by removing the need for switches between preprocessors, solvers, and postprocessors that are usually necessary for computational fluid dynamics simulations. Users can create "computational experiments" to explore scientific hypotheses or address engineering challenges without the need for intricate mathematical formulations. Additionally, development is ongoing to introduce various energy transformation types and to enhance support for different fluid types. While Energy2D excels in accurately modeling conduction, its representations of convection and radiation are not entirely precise, which means results involving these elements should be regarded as qualitative. Over 40 scientific papers have utilized Energy2D as a valuable research instrument, showcasing its adoption in the academic community. As the program evolves, its capabilities are expected to expand further, potentially offering more comprehensive insights into complex physical interactions.
Description
Develop more accurate models of your reservoir fluids by utilizing dependable and straightforward PVT software to calculate essential PVT properties. PVT Solver can effectively illustrate the behavior of petroleum reservoir fluids, making it an ideal choice for easy PVT simulation and exporting various fluid properties. You can analyze reservoir fluids through a simple three-step process, which involves using the easiest fluid properties software available for your PVT modeling needs. In Step 1, input the necessary data by identifying the existing separation system and entering the relevant field parameters. Step 2 involves comparing correlations, allowing you to visualize various correlation models for each fluid property. In Step 3, you will calculate properties by selecting a correlation for each property and defining the calculation range. It’s essential to utilize the most recognized fluid correlations in the industry, such as Sutton (2007) for gas pseudo-critical properties and Dranchuk-Abou-Kassem (DAK) (1975) for gas z compressibility or deviation factors. Additionally, Standing (1947) can be employed for bubble point calculations. Ultimately, these steps lead to a more comprehensive understanding of reservoir fluid behavior, enhancing your modeling accuracy.
API Access
Has API
API Access
Has API
Integrations
Raspberry Pi OS
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Concord Consortium
Founded
2010
Country
United States
Website
energy.concord.org/energy2d/
Vendor Details
Company Name
PVT Solver
Founded
2015
Country
United States
Website
pvtsolver.com
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
Product 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
