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What is MFrac Suite?

MFrac Suite software provides a robust platform for users to devise and implement successful well stimulation tactics across both conventional and unconventional resources, which ultimately boosts production and extends the lifespan of wells. By optimizing the planning workflow and integrating real-time insights on minifracs, hydraulic fracturing methods, well performance metrics, and economic evaluations, users can rely on their treatment strategies and produce more precise reserve predictions. This hydraulic fracturing design and analysis tool is instrumental in identifying the most productive zones, determining the best fracture treatments, and monitoring the stimulation of reservoirs in real time. Since its launch, the software has been a vital resource for engineers involved in frac modeling, marking a substantial leap in both efficiency and functionality. This upgrade in capability is especially advantageous for experts focused on unconventional well planning, stimulation modeling, frac execution, and making economically driven production forecasts. Furthermore, MFrac Suite enables users to make well-informed decisions that can greatly influence their operations and overall profitability, thereby positioning them for greater success in a competitive market. In conclusion, the software not only enhances operational efficacy but also fosters innovative approaches to resource management in the oil and gas industry.

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

$240 per month
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

Baker Hughes

Company Location

United States

Company Website

www.shopbakerhughes.com/product/10534795/MFrac%20Suite

Company Facts

Organization Name

GPT

Company Location

China

Company Website

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

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