Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A cutting-edge and adaptable data management system that significantly improves collaboration, security, and operational efficiency. This lightweight architectural framework is designed to accommodate numerous users and diverse projects seamlessly. With a centralized repository that adheres to the strictest security protocols, it offers customizable features based on defined user roles and permissions. Teams working in seismic analysis, petrophysics, and geological modeling can collaborate effectively through real-time data workflows and shared access, all within a unified visualization setting. The system is equipped with import/export capabilities that support a variety of data formats, facilitating seamless interaction with the OSDU Data Platform and external repositories. Moreover, the integration of common data models, standardized interfaces, and visualization tools enhances the overall user experience. Its scalable nature ensures that it can adapt to evolving performance and storage requirements as data volumes increase over time, allowing organizations to keep pace with their growing needs. In this way, the infrastructure not only meets current demands but also anticipates future challenges in data management.
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.
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
AspenTech
Country
United States
Website
www.aspentech.com/en/products/sse/aspen-epos
Vendor Details
Company Name
GPT
Country
China
Website
www.gptsoft.com/ges-case-study-block-h125-modling/
Product Features
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management