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What is Slide3?
Identify critical failure surfaces and establish the necessary factor of safety by merging global metaheuristic search methods with local surface-altering technologies. By implementing parallel processing for both failure identification and safety factor assessments, results can be achieved in just a few minutes. Streamline your operations and obtain more detailed insights by seamlessly incorporating 3D wireframes that illustrate surveyed landscapes, geological strata, modeled faults, and additional elements into your 3D representations. The construction of slope stability models has reached unprecedented levels of efficiency and speed. You can choose to import surfaces from geological modeling or mine planning software, or apply integrated surface creation methods based on coordinates or borehole data. Furthermore, surfaces can be generated from point cloud information or block models can be imported from various software platforms such as Leapfrog, Deswik, Datamine, and Vulcan, ensuring both flexibility and accuracy in your modeling tasks. This innovation not only speeds up the modeling process but also offers more detailed and precise depictions of geological conditions, ultimately enhancing project outcomes significantly. As a result, professionals can make informed decisions more rapidly, leading to improved safety and efficiency in engineering practices.
What is GPT GES?
Block H125 is primarily centered on the advancement of the Qingshankou oil layer, characterized by a broken nose configuration in the top structure of the Qing 1st sublayer, which is impeded by reverse normal faults. Within this region, a layered lithological structure acts as the type of reservoir, and operations are currently conducted using a refined five-point well pattern that includes 27 injection wells and 38 production wells. In the northern section of Block H125, delta front deposits are identified as the main target layers, while bars represent the predominant microfacies types throughout the various sublayers. The reservoir geological modeling technology is divided into two key workflows: structural modeling and property modeling. The latter involves a range of tasks such as modeling sedimentary facies, porosity, permeability, oil saturation, and net-to-gross (NTG) ratios. The geological modeling process begins with the well header and well picks to construct a structural model, ensuring that increments in the I and J directions are optimized for grid quality and well arrangement. This careful methodology guarantees an accurate representation of the reservoir's geological features, which is essential for developing effective production strategies. Furthermore, continuous evaluations of well performance and reservoir dynamics are vital for refining extraction techniques and maximizing the overall recovery of resources, thus ensuring a sustainable operational approach.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$5,895 per year
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
Rocscience
Date Founded
1996
Company Location
Canada
Company Website
www.rocscience.com/software/slide3
Company Facts
Organization Name
GPT
Company Location
China
Company Website
www.gptsoft.com/ges-case-study-block-h125-modling/