Land-data Processing

A complete toolkit for modern, high-density surveys.

A comprehensive toolkit

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.

Case Study – Deblending

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.

Data courtesy of Apache.

Migrated stack co-rendered and imaged with the velocity model prior to FWI versus migrated stack co-rendered and imaged with the FWI velocity model. (Data courtesy of CCED)

Shallow depth slice of the velocity model prior to FWI versus shallow depth slice of the velocity model after FWI highlighting significant short wavelength detail. (Data courtesy of CCED)

Legacy stack compared to DUG’s reprocessed result. As well as the imaging uplift provided by FWI, significant pre-processing improvements from cross-spread FKK noise removal and multiple suppression using true-azimuth 3D SRME were achieved. (Data courtesy of CCED)

Superior imaging with FWI

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.

A complete toolkit for modern, high-density land surveys. Let’s talk.

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