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
Adopt a hybrid approach that integrates AI with physics-based reservoir simulation to significantly boost the productivity of your reservoir engineers while achieving operational excellence. This innovative method allows for simulations to be conducted in a fraction of the time typically required by traditional techniques, enabling the rapid streaming of new production data to refine forecasts in just minutes. You can efficiently explore various development scenarios, cutting down the time required from over a month to mere hours, all with minimal staffing. Maintaining a clear perspective on where additional development opportunities lie allows for the strategic redirection of efforts towards the most productive areas, thereby enhancing and optimizing production from established assets to ensure a steady revenue flow. This approach not only shortens the decision-making cycle but also minimizes costly overhead expenses. The journey towards operational excellence begins by transforming your previously underutilized dynamic reservoir model into an ultra-fast, always-reliable tool for production forecasting that supports operational planning and budgeting. This represents a groundbreaking advancement that seamlessly fuses AI with numerical simulation methodologies, paving the way for more effective resource management in the industry. By embracing these modern techniques, organizations can position themselves for sustained success in a competitive landscape.
API Access
Has API
API Access
Has API
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Free Trial
Free Version
Pricing Details
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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
Target Solutions
Founded
2004
Country
Oman
Website
meerasimulation.com
Product Features
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