Techlog software

Operators often rely on as little as 10% of the available data when making critical investment decisions for exploration or joint ventures. Most of the information remains locked in unstructured formats— images, PDFs, or scanned reports.

This lightweight, AI-powered log prediction tool is built on a globally trained log foundation model. Developed with curated public data from more than 18,000 wells worldwide, it processes information without the need for a GPU.

This module has long supported correction of log responses for geometry effects, improving accuracy of formation evaluation in high-angle and horizontal wells. Existing capabilities include automatic near-wellbore model initialization using dip sets and density image data.

The new image processing wizard in Techlog software now supports the COI 4-1 Weatherford™ tool, which previously couldn't be processed alongside other tools and providers. This enhancement enables users to process a wider range of borehole images within Techlog software, regardless of the data source.

With the introduction of new Python APIs, you can now define a variable, generated by a specified method, to serve as a substitute for an equivalent Quanti.Elan initializations output.

Update of Python version to 3.12 to ensure a more secure and upgraded version, better performance of several modules, and binder APIs to help connect output of the application workflows interface.