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What is RSData?

Achieve a thorough comprehension of rock and soil materials by investigating their strength characteristics and constitutive behaviors, which will help in defining strength envelopes and determining various material parameters. Utilize constitutive models, including NorSand and Modified Cam Clay, to delve deeply into the stress-strain relationships present in your soil materials. A significant benefit of RSData is its integration with RocProp, a standalone application that contains a comprehensive database of intact rock properties. Take advantage of the diverse technical features that RSData provides for your analytical needs. Modify the strength criteria of your rock and the observed stress-strain behaviors using data gathered from both field and laboratory tests, ensuring to compare these with numerical simulations of the same tests. Furthermore, RSData facilitates the importation of laboratory tests and the visualization of stress-strain paths for soils, enhancing clarity in your analyses. By comparing and calibrating material parameters, you can refine your insights, visualizing predicted constitutive behavior in conjunction with experimental data. Moreover, the flexibility of RSData allows for the application of various constitutive models to forecast results in standard laboratory tests, proving it to be an invaluable resource for material analysis and enhancing the understanding of how different materials respond under various conditions. This comprehensive approach ensures a robust framework for analyzing and predicting material behavior in real-world scenarios.

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.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$1,195 one-time payment
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/rsdata

Company Facts

Organization Name

GPT

Company Location

China

Company Website

www.gptsoft.com/ges-case-study-block-h125-modling/

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