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Random Forest (RF) is a supervised machine learning algorithm used in both classification and regression problems. It was an added function to the Deep QI license for RokDoc 2023.1!
Everyone does pressure. It’s a well-established workflow but that doesn’t mean it can’t be done better.
The 2026.3 release spans performance, functionality, and platform improvements across seismic QC, rock physics, SDC, and visualization workflows. Several updates carry direct relevance to Rock Physics work in particular - a new wavelet conditioning method that operates in the complex domain, faster ...
RokDoc 2026.3 delivers a set of additions to the reservoir characterisation workflow that span well-tie QC, inversion environment improvements, frequency-domain analysis, 4D time shift processing, probabilistic classification, and project navigation. The common thread across these changes is ...
Overview of Ikon Science's Attrimod Ikon Science's Attrimod is a RokDoc platform Add-on designed specifically for the oil and gas industry, particularly in the context of well data management and analysis. It integrates various data sources to provide comprehensive insights into well performance ...
RokDoc 2026.2 focuses on throughput where rock physics users spend most of their time. Rock physics work is often limited less by “can the model be built” and more by how quickly it can be iterated, validated against wells, and carried through to the volumes or deliverables needed by the wider ...
Reservoir Characterization workflows in RokDoc 2026.2 concentrate on two goals: getting to answers more quickly and communicating QC more clearly. Reservoir characterization workflows tend to accumulate computational cost in predictable places: seismic conditioning, repeated attribute generation, ...
