Average Ratings 0 Ratings
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
The energy sector is currently facing a surge in demand from developing markets, coupled with heightened competition for leasing rights and financial resources. Additionally, there is a growing emphasis on public accountability and regulatory requirements for transparency. Companies are tasked with delivering products while managing aging assets and the looming challenge of a retiring workforce. This landscape presents significant hurdles for the global energy industry. In response, oil and gas firms are actively exploring ways to enhance their processes and adopt innovative technologies to maintain their competitive edge. Upstream operations require comprehensive insights into production workflows from reservoirs to pipelines, necessitating optimization and predictive analysis to mitigate potential losses. Meanwhile, downstream operations depend on thorough monitoring of refining plants' conditions and efficiency to ensure they meet market demands effectively. As the industry evolves, the need for strategic adaptations will only intensify, pushing companies to innovate and recalibrate their operational strategies.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Target Solutions
Founded
2004
Country
Oman
Website
meerasimulation.com
Vendor Details
Company Name
SAS Institute
Founded
1976
Country
United States
Website
www.sas.com/content/dam/SAS/en_us/doc/overviewbrochure/sas-oil-gas-104957.pdf
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
Yes
Scheduling
No
Work Order Management
No
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No