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Data Visualization

Integrating Powerful Map Capabilities in Your Subsurface Web Applications

Integrate robust map features into your subsurface web applications.

Geoscientists’, petrophysicists’, and managers’ user experience starts typically with a map-based search of subsurface data (wells, survey, seismic field, etc…) to see the data in its context. Developers of exploration applications in the cloud must add robust mapping functionalities in order to meet usability expectations. With the GeoToolkit map widget, we’ve simplified this process to allow users to generate insights quickly and clearly, using common web mapping services.

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What Is IVAAP? [Overview]

IVAAP Enterprise Subsurface Data Visualization Platform

Now more than ever, developers in oil and gas are pressured to deliver subsurface digital applications in the cloud. As a developer, now you can offer geoscientists the ability to visualize large 3D seismic data volumes of more than 100 gigabytes using IVAAP’s powerful 2D/3D displays. Until now, this was not possible with such high performance in a web browser.

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GeoToolkit.JS 2020 Overview

Webinar: GeoToolkit.JS 2020 Highlights and Features

In this webcast, we review the GeoToolkit.JS 2020 release highlights:
Improved ArcGIS support, new interactive tools, multilateral schematics, new gridding algorithms, and improved volumetric memory.

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Staatsolie Streamlines Access with IVAAP

Staatsolie Streamlines Data Access and Visualization with INT’s Cloud-Based IVAAP

Historically, Staatsolie’s data was siloed in various specialized applications, reformatted and edited multiple times in transit, restricted by a cumbersome search process, and shared via email or FTP. To optimize their operations, Staatsolie saw the implementation of IVAAP as an opportunity to establish a web-based solution that would allow their upstream users to perform all key capabilities: online search, integration, sharing, visualization, reporting, and metrics in one application on the web. Now, with IVAAP, access, search, and visualization are centralized in one platform and accessed easily on the web. Users see one screen using one algorithm, eliminating the potential for errors and creating a data-driven, collaborative environment that reduces operational risk.
 

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