We offer a complete toolkit for modern, high-density land surveys.
DUG Deblend is our best-in-class inversion algorithm enabling both improvements in acquisition efficiency and increasing data quality.
Our technology spans solutions for statics, a wide variety of options for noise and multiple attenuation, full-azimuth processing and advanced reconstruction and regularisation algorithms which include support for compressive sensing. This is combined with our modern model building and imaging tookit including MP-FWI Imaging.
This land data set from onshore Egypt was acquired in a blended manner with up to 30 vibroseis units in operation at any one time. Each vibroseis unit worked on a separate source line, each over 20 km long resulting in a highly variable separation of sources. Subsequently, a source line was reacquired in a non-blended manner, absent of interfering shot energy to serve as a benchmark for deblending.
The results (right) compare the blended input data on the left, the DUG Deblend result in the centre and the benchmark, unblended data on the right. The non-blended dataset provides a powerful comparison highlighting the efficacy of our deblending solution. The deblended result could be argued to be an improvement over the unblended result due to the increase in signal-to-noise ratio that comes naturally from inversion-based deblending.
In this onshore dataset from the Oman Salt Basin, significant imaging improvements were obtained with our comprehensive, state-of-the-art pre-processing and velocity model-building workflow using FWI.
Working closely with CCED, we were able to significantly improve the quality and resolution of existing data, allowing for a more accurate understanding of the subsurface geology. This area is characterised by faulted sequences of alternating clastics and carbonates, separated by several rugose unconformities.
This project comprised 10 surveys and over 10,500 square kilometres of data.