Data Conditioning Solutions

"Happy datasets are all alike; every unhappy dataset is unhappy in its own way."        ....with apologies to Leo Tolstoy

We have a lot of experience looking at "unhappy" datasets....and know how to deal with dataset issues. From cleaning up pre-stack migrated gathers with our proprietary dip filtering and rnmo technology, to multiple removal. From post-stack processing and acquisition footprint removal, to scale dependent processing.....we have you covered. Plus, if something outside our toolkit's capabilities is required.... well, we do have a rich history of real time code development. 

Signal analysis and data conditioning is the first step in all our project work....making sure the data is fit for spectral methods, curvature and inversion processing.

We offer a full range of pre-stack and post-stack data conditioning as a stand-alone service to oil and gas companies.

An Example of Interbed Multiple Removal  

Data Courtesy of 3rd Energy Limited