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What is ML Pro?

The development of mud-logging software was initiated by thoroughly examining the existing market platforms to pinpoint their advantages and shortcomings. Utilizing the knowledge and skills of MTC specialists, the software was meticulously crafted from the ground up, providing a notable edge with its high level of customizability, enabling the integration of any relevant parameters. Furthermore, MAPSA Technology Center's Mud-Logging Software features remarkable computational speed and a sophisticated graphical interface, which was made possible through the application of cutting-edge software development techniques. This strategic approach positions ML Pro advantageously against its international rivals, especially concerning computational efficiency and a user-friendly interface. Drilling parameters are extracted from sensor data and displayed in multiple formats, which greatly improves clarity and usability for operators. In summary, the design of the software prioritizes user engagement and flexibility, ensuring it adapts to the dynamic requirements of the industry. Ultimately, its commitment to high performance and user satisfaction sets it apart from other solutions in the field.

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

Pricing not provided.
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

PetroMehras

Date Founded

2006

Company Location

United States

Company Website

www.petromehras.com/petroleum-software-articles/technical-articles/ml-pro-mud-logging-software

Company Facts

Organization Name

GPT

Company Location

China

Company Website

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

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