Welcome to the Neuralog Desktop Tutorial. In this video we’ll identify the main sections of the Desktop display and see how to use both the Map and Project Explorer to find our project’s wells and documents.
The process of scanning and converting old paper well logs into a usuable format is an essential part of the exploration and production of hydrocarbons. However, with technological advances, automated well log digitizing software and continuous well log scanners, such as those offered by Neuralog, partner together making it easier than ever to digitize and eventually interpret well logs.
In today’s oil and gas industry, efficient workflows are more important than ever. It’s essential to have tools that can keep up with the demands of the industry. That’s where Neuralog comes in.
NeuraView is the ideal TIFF Cleanup tool for cleaning up large image scans such as well logs and other types of TIFF images! If your organization has scanned well logs, there’s a good chance they were scanned as grayscale or color images. They were also likely scanned so that every square inch of paper was captured, which only added to the size of the large image scans. While these settings do a great job of capturing the minute details found on well logs, they always result in extremely large images. Loading these large images is time-consuming, and in fact, in some applications, the images may not load at all. NeuraView is the tool you need to convert your color and grayscale scanned well log images into manageable black-and-white documents, ready for your analysis software.
NeuraView is the E&P Industry’s best TIFF cleanup tool for huge scans such as those that result from scanning long well logs and map.
NeuraView’s Instant Rescan is a powerful yet simple tool for cleaning up very large TIFF images that have been scanned in color or grayscale. Scanned
Load a raster well log for digitizing. The birdseye view presents the entire log with sections automatically identified. Multiple runs and tracks are now instantly visible and automatically found, eliminating the chance for costly mistakes like digitizing across multiple runs or missing entire tracks.
Terms and Conditions | Privacy | Sitemap
Copyright 2025 Neuralog
