4D Processing Workflow

 Audience

Anyone who will process 4D data.

Content

The course begins with a general introduction on what 4D is, its value and the concept repeatability. 4D acquisition, QC, and processing philosophy are explained in detail. This training course covers the case of datasets with 2 vintages and towed streamer acquisitions. Multi-vintages, OBC and LoFS are not covered here.

Processing a 4D dataset is explored; what needs to be known to start a 4D, sail- line processing, global matching, binning and regularization, de striping and differential statistics.

Then, QC and repeatability improvement of 4D are investigated, regarding QC of 4D data, QC of navigation, and finally repeatability improvement on a dataset.

 Learning Objectives

• Understand the concepts, value and specific vocabulary of 4D
• Understand the concept of repeatability and know how to measure it using the processing tools
• Understand the main 4D processing steps, list the associated modules and understand algorithms and module parameters
• QC data efficiently