VisualSFM Reviews & Ratings

VisualSFM

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 3 out of 5 stars
support 3 out of 5 stars

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features 0 out of 5 stars
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What is VisualSFM?

VisualSFM is a convenient application that facilitates the creation of 3D models using a technique known as structure from motion (SFM). This software integrates components from several previous projects I've been involved with, such as SIFT on GPU (SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. By utilizing multicore parallel processing, VisualSFM significantly boosts the speed and effectiveness of processes like feature detection, feature matching, and bundle adjustment. Furthermore, for achieving dense reconstruction, it effectively incorporates Yasutaka Furukawa's PMVS/CMVS toolchain, which enhances the quality of the final output. The combination of these diverse tools and methodologies positions VisualSFM as an invaluable asset for individuals working on 3D reconstruction endeavors. Whether you are a novice or an expert, this application provides the resources necessary to streamline the modeling process.

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

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

VisualSFM

Company Website

ccwu.me/vsfm/

Company Facts

Organization Name

GPT

Company Location

China

Company Website

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

Categories and Features

Photogrammetry

Not specified

Categories and Features

Geology and Seismic

Not specified

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