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Average Ratings 0 Ratings
Description
Adopt a hybrid approach that integrates AI with physics-based reservoir simulation to significantly boost the productivity of your reservoir engineers while achieving operational excellence. This innovative method allows for simulations to be conducted in a fraction of the time typically required by traditional techniques, enabling the rapid streaming of new production data to refine forecasts in just minutes. You can efficiently explore various development scenarios, cutting down the time required from over a month to mere hours, all with minimal staffing. Maintaining a clear perspective on where additional development opportunities lie allows for the strategic redirection of efforts towards the most productive areas, thereby enhancing and optimizing production from established assets to ensure a steady revenue flow. This approach not only shortens the decision-making cycle but also minimizes costly overhead expenses. The journey towards operational excellence begins by transforming your previously underutilized dynamic reservoir model into an ultra-fast, always-reliable tool for production forecasting that supports operational planning and budgeting. This represents a groundbreaking advancement that seamlessly fuses AI with numerical simulation methodologies, paving the way for more effective resource management in the industry. By embracing these modern techniques, organizations can position themselves for sustained success in a competitive landscape.
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
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Target Solutions
Founded
2004
Country
Oman
Website
meerasimulation.com
Vendor Details
Company Name
PVT Solver
Founded
2015
Country
United States
Website
pvtsolver.com
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
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