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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.

What is Aucerna Previso?

Aucerna Previso empowers teams to efficiently model the intricate system of extraction, production, and distribution that encompasses various reservoirs, wells, subsea pipelines, compressors, and separators until the products reach consumers. This software offers operators a robust solution for forecasting and modeling production. The forecasts produced are aligned with market dynamics, enabling detailed production tracking at the component level and facilitating back-allocations through processing plants, pipelines, compressors, wells, and ultimately to each reservoir. Moreover, Aucerna Previso is capable of quickly and accurately adapting to historical data, predicting production profiles, and managing subsurface uncertainty by generating numerous scenarios essential for effective production planning across short, medium, and long-term horizons. In addition, Previso features advanced optimization algorithms specifically tailored for the industry that utilize intelligent block matrix techniques to improve linear programming, resulting in significantly faster solution convergence. The extensive functionalities of this software make it an indispensable tool for operators aiming to refine their production workflows and enhance overall efficiency, ensuring that they stay competitive in a rapidly evolving market.

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

GPT

Company Location

China

Company Website

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

Company Facts

Organization Name

Aucerna

Date Founded

2005

Company Location

Canada

Company Website

aucerna.com/software/aucerna-previso/

Categories and 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

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