Data Conditioning

All datasets are unique and require careful signal analysis and quality control. We have decades of experience identifying and resolving data quality issues. Our proprietary noise analysis and noise attenuation methods have application in the pre-stack and post-stack domains.

Prior to spectral characterization it is important to capture and preserve as much signal bandwidth as possible while dealing with various types of random and coherent noise. The goal is to target and isolate signal associated with different rock and fluid properties that will help you make decisions with greater certainty.

In poor signal areas, where full bandwidth methods can have difficulty, our spectral technologies often reveal geologic content that would otherwise go unnoticed.

Data courtesy of Talisman Energy