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Description

Identify performance limitations or other hidden issues that conventional software testing may overlook. Establish clear criteria for halting an experiment or reverting to the original state prior to experimentation. Execute experiments within minutes by utilizing pre-defined scenarios available in the FIS scenario library. Gain enhanced understanding by simulating real-world failure scenarios, such as the degradation of various resources' performance. Integrated within AWS Resilience Hub, the AWS Fault Injection Service (FIS) is a fully managed solution designed for conducting fault injection experiments aimed at enhancing an application’s performance, visibility, and resilience. FIS streamlines the setup and execution of controlled fault injection tests across multiple AWS services, enabling teams to gain confidence in how their applications respond. Additionally, FIS equips teams with essential controls and safeguards for conducting experiments in production, including automatic rollback or cessation of the experiment upon meeting predetermined conditions, thus ensuring a safer testing environment. With these capabilities, teams can effectively identify vulnerabilities and improve their overall application resilience.

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

Screenshots View All

Screenshots View All

Integrations

AWS Resilience Hub
Amazon Web Services (AWS)

Integrations

AWS Resilience Hub
Amazon Web Services (AWS)

Pricing Details

$0.10 per action-minute
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

Amazon

Country

United States

Website

aws.amazon.com/fis/

Vendor Details

Company Name

GPT

Country

China

Website

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

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