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What is Petrel?
The Petrel platform is designed for use both on-premises and within the DELFI cognitive E&P environment, enabling geoscientists and engineers to analyze subsurface data effectively from exploration through to production, which enhances collaborative insights into the reservoir. By adopting this comprehensive approach to earth science, companies can optimize their workflows across both exploration and production phases, thus making better-informed decisions through an integrated view of potential prospects and their inherent risks. At the heart of this process lies data-level integration, a vital component that fosters collaboration among various disciplines. This integration supports the accumulation and protection of knowledge throughout the entire lifecycle, from initial exploration through to production, involving all stakeholders from petroleum systems modelers to reservoir engineers, all striving for a cohesive understanding of the subsurface environment. Whether you are initiating your first deepwater exploration project or overseeing a large-scale drilling operation in a shale formation, the Petrel platform greatly enhances multidisciplinary workflows and boosts overall project effectiveness. Ultimately, this platform not only propels innovation but also emphasizes the critical role of teamwork in achieving successful outcomes within the geoscience sector, reinforcing the notion that collaboration is key to navigating the complexities of subsurface exploration and production. As the industry evolves, the capabilities of Petrel will continue to play a pivotal role in shaping the future of energy exploration.
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.
Media
No images available
Integrations Supported
Cegal Prizm
RokDoc
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
SLB
Date Founded
1926
Company Location
United States
Company Website
slb.com
Company Facts
Organization Name
GPT
Company Location
China
Company Website
www.gptsoft.com/ges-case-study-block-h125-modling/
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