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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

Screenshots View All

Screenshots View All

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

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