Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Block H125 primarily focuses on the development of the Qingshankou oil layer, where the top structure of the Qing 1st sublayer features a broken nose configuration hindered by reverse normal faults. This area exhibits a layered lithological structure reservoir type, and the current operation employs a refined five-point well pattern, comprising 27 injection wells alongside 38 production wells. Delta front deposits serve as the main target layers in the northern section of Block H125, with bars identified as the principal microfacies types across each sublayer. The technology for reservoir geological modeling is categorized into two essential workflows: structural modeling and property modeling. Property modeling encompasses various aspects, including sedimentary facies modeling, porosity modeling, permeability modeling, oil saturation modeling, and NTG modeling. The initial phase in geological modeling involves utilizing the well header and well picks to create a structural model, wherein the increments in the I and J directions are set to optimize grid quality and well configuration. This meticulous approach ensures that the reservoir's geological characteristics are accurately represented for enhanced production strategies. Additionally, ongoing assessments of well performance and reservoir behavior are crucial for optimizing extraction methods and maximizing resource recovery.
Description
The creation of mud-logging software began with a comprehensive analysis of existing platforms in the market, identifying their strengths and weaknesses. Leveraging the expertise of MTC specialists, the software was then designed from the ground up, offering a significant advantage in terms of customizability, allowing for the inclusion of any necessary parameters. Additionally, MAPSA Technology Center's Mud-Logging Software boasts impressive computational speed and an advanced graphical interface, achieved through the use of modern and effective software development technologies. This positions ML Pro favorably against its global competitors, particularly in terms of computational efficiency and an intuitive user interface. Drilling parameters are derived from sensor data and presented in various formats, enhancing clarity and usability for operators. Overall, the software's design emphasizes user experience and adaptability, ensuring it meets the evolving needs of the industry.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GPT
Country
China
Website
www.gptsoft.com/ges-case-study-block-h125-modling/
Vendor Details
Company Name
PetroMehras
Founded
2006
Country
United States
Website
www.petromehras.com/petroleum-software-articles/technical-articles/ml-pro-mud-logging-software