New Generation of Survey Engine Reporting and QC Tool


Powerful and Interactive Interpretation Reporting Tool with Integrated QC
Large Data Volume Processing Tool


Coda Octopus is pleased to announce the introduction of its new Reporting and QC Tool for its Survey Engine® geophysical post processing product line.   The new tool integrates with Survey Engine but also with the Automatic Boulder Detection and Reporting Module – a machine-learning based AI (Artificial Intelligence) solution – also available for Survey Engine.

Our new architecture for the Survey Engine Reporting and QC Tool can effortlessly support the largest Sidescan and Seismic reporting requirements with very efficient reporting of user defined fields, regardless of the data volume size. It can also run simultaneously with other Survey Engine processing on the same or different project allowing maximum throughput efficiency for the user. Previously, Survey Engine users were unable to perform any other data processing tasks within the software while the report was being generated thus slowing down the overall processing and reporting time.  This new tool is designed to deliver fast and accurate processing and reporting of data sets including on high data volume projects.

In our performance testing of the new Survey Engine Reporting Tool, a 10GB Survey Engine Sidescan project with over 20,000 boulder contacts/targets was processed in as little as 38 seconds, compared to over 2 hours on alternative reporting tools and the previous generation of Survey Engine reporting.

The QC Tool allows the user to quickly and easily validate all the contacts/targets in the database in the form of a simple grid or data list display. Auto-generated thumbnail images of the contact/target are displayed to the user for ease and speed of interpretation with all QC results posted to the Survey Engine project database.

In addition to improving reporting for a standard Survey Engine project, the Tool also complements the Survey Engine Automatic Object Detection Package (“SEADP”). With the recent explosive growth in the offshore renewables sector, where boulder detection and contact/target measurement reporting are critical functions for the planning and design of offshore wind farms, the requirements to handle significantly more data in the form of very large data projects (≥10Gb) is now prevalent. These projects often have hundreds of thousands of boulders, and as such SEADP significantly simplifies and automates their detection and measurements that otherwise would involve intensive manual interpretation often with multiple geophysicists and man months of interpretation. SEADP can easily identify and measure over 1,000 boulders per minute and provides boulder detection confidence reporting together with the ability to use multiple different AI engines for different types and sizes of boulders. This provides an immensely powerful and efficient automated boulder detection toolset, which is now complemented by our new high data volume Reporting and QC Tool.

Our new Survey Engine Reporting and QC Tool is a stand-alone utility that can operate simultaneously with Survey Engine and transforms the standard, typical geophysical reporting tasks from several hours to seconds or minutes. The Reporting Tool with inbuilt QC functionality, and the full Survey Engine application, can both work on completely independent projects allowing significant increase in workflow productivity.

The key benefits are:

  1. Significantly faster to create custom reports, reducing reporting time from hours to minutes.
  2. Ability to report efficiently on large datasets with 100’s of thousands of contact/targets.
  3. Completely independent application to Survey Engine allowing simultaneous use and processing and reporting on the same or different projects.
  4. Fully integrated review of contact/target data snapshots and quick QC’ing of point type interpretations.
  5. QC results can automatically update the Survey Engine database.
  6. Easy-to-use UI with simple report templates and fully customizable layout and data reorganization including sorting, data and attribute filtering and data grouping before exporting reports to ASCII, CSV, HTML or Excel file reports.
  7. Customizable data selection reporting using node types (Start, End, Manual or Automatic) and frequency of output data which is very effective for complex seismic data reporting

This capability is available as Version 8.x.x.

For more information, please contact