Presentations of a tool or technique will clearly define the underlying assumptions, make comparisons to conventional interpretation workflows, and clearly illustrate the interpretation benefit. For commercial reasons, the authors as users may not know, or may not be permitted to provide, sufficient implementation detail to allow a reader to exactly duplicate the results without using the tool. However, the authors must not have any conflict of interest in relation to the publication of the tool or technique and the geophysical principles of the tool must be either well known or fully described.
In contrast, tutorials will illustrate best practices in using new or alternatively poorly understood interpretation technology and workflows, as well as innovative data integration workflows that can be closely emulated by the reader. A tutorial can include summary/synthesis of a topic that is relevant/timely for interpreters.
The organization of the paper is intended to follow the common standards of the journal including abstract, conclusion, and references but with the following special adaptations:
In order to recognize the paper as one of the Tools, Techniques, and Tutorial series, the title should have the word "Tool," "Technique," or "Tutorial" prominently in the title, note the technology used, and the intended use for interpretation (e.g. Passive seismic monitoring – A new tool for mapping faults)
The introduction should motivate the reader about why this tool or technique is important, while in the case of a tutorial, how the technology is poorly understood or underutilized.
This section should include a basic description of the technology and how it is supposed to work when done correctly. It should also include known and stated geophysical assumptions and limitations of key steps in the workflow. The authors should avoid using copyrighted or patented names whenever possible. If they do, they should provide a generic word whenever possible. (e.g., "We demonstrate how our new "Ant-tracking" algorithm, a Schmidt Diagram controlled skeletonization algorithm, provides lineaments that strongly correlate to open fractures seen on horizontal image logs).
This is the description of why the application of the technology provides improved results over conventional workflows through examples.