Webinars & Talks
At Danomics we believe that providing educational resources and sharing our R&D is key to helping customers understand what we do. When we give a webinar or conference talk it will primarily be about methods that you can apply no matter what software you use, and a little bit of how you can do it it Danomics.
Below you will find a list of links to webinars that we have done in the past as well as to our educational series which serves as both a reference for performing petrophysical calculations as well as how to perform the interpretation in the platform.
Webinars
- Multiwell Project Basics
- Mineral Inversion in Danomics
- Interpretation Read Data: Data pre-conditioning, normalization, and repair
- Applying AI/ML to Petrophysical Challenges
- AI/ML Model Development, Deployment, and Danomics as the Innovation Pipeline
- Applying K-Means to Subsurface Mapping
- Interpretation Ready Data Workflows: Reducing project startup costs
- Danomics Flows webinar with examples
Education Series
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Sample data to get started
Need some sample data to get started? The files below are from data made public by the Wyoming Oil and Gas Commission. These will allow you to get started with petrophysics, mapping, and decline curve analysis. Well header data Formation tops data Deviation survey data Well log data (las files) Production data (csv) or (excel) Wyoming counties shapefile and projection Wyoming townships shapefile and projection Haven’t found the help guide that you are looking for?
NMR Interpretation Module
Purpose The NMR interpretation module allows users to calculate porosity, bound and free fluids from the measure T1 and T2 distributions from NMR tools. Primary Outputs Discussion In oil and gas well logging, the $T_2$ distribution is used as a high-resolution "map" of the formation's pore system. While a standard porosity tool tells you how much fluid is there, NMR tells you where that fluid is trapped and whether it will flow.
General Concepts in Flows
Because Flows will be a new concept to many of you it is important to understand the general concepts that flows are built upon. These concepts are: Many tasks are repetitive These tasks should be done consistently These tasks can often be split into small pieces. What Are Flows? Flows are batch processing system that combine Flow tools to perform operations consistently across a dataset, and are especially useful for repetitive tasks like gridding data.