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About

Find performance bottlenecks or other unknown weaknesses missed by traditional software tests. Define specific conditions to stop an experiment or roll back to the pre-experiment state. Run experiments in minutes using pre-built scenarios from the FIS scenario library. Get superior insights by generating real-world failure conditions, such as impaired performance of different resources. Part of AWS Resilience Hub, AWS Fault Injection Service (FIS) is a fully managed service for running fault injection experiments to improve an application’s performance, observability, and resilience. FIS simplifies the process of setting up and running controlled fault injection experiments across a range of AWS services, so teams can build confidence in their application behavior. FIS provides the controls and guardrails that teams need to run experiments in production, such as automatically rolling back or stopping the experiment if specific conditions are met.

About

Block H125 mainly develops Qingshankou oil layer. The top structure of the Qing 1st sublayer is a broken nose structure blocked by reverse normal faults. The reservoir type is a layered lithological structure reservoir. The current injection-production scale is an encryption five-point well pattern, including 27 injection wells and 38 production wells. The main target layers in the north of Block H125 are delta front deposits. The main microfacies types of each sublayer are bars. Reservoir geological modeling technology is mainly divided into two major workflows structural modeling and property modeling. The property modeling includes sedimentary facies modeling, porosity modeling, permeability modeling, oil saturation modeling, and NTG modeling. In geological modeling, the first step is to use the well header and well picks to establish a structural model and to set the increment in I and J direction to control the grid quality and well pattern.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises and companies requiring a solution to improve resilience and performance with controlled experiments

Audience

Oil and gas companies and other organizations looking for a solution to manage their structural and property modeling processes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.10 per action-minute
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
United States
aws.amazon.com/fis/

Company Information

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

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Categories

Categories

Integrations

AWS Resilience Hub
Amazon Web Services (AWS)

Integrations

AWS Resilience Hub
Amazon Web Services (AWS)
Claim AWS Fault Injection Service and update features and information
Claim AWS Fault Injection Service and update features and information
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Claim GPT GES and update features and information