High-end processing you can afford
In recent years, the cost of high-end data processing has fallen dramatically, with cutting edge algorithms and high end computing power now available, EPI are able to:
- Reprocess your vintage datasets with impressive results
- Make the most of your new volumes with bespoke sequence design and application
- Provide the best QC of your data at large processing contractors and
- Understand the confidence levels possible with your data.
Unlock the best from your vintage seismic dataset
By utilising state-of-the-art techniques, we can efficiently and effectively improve the imaging of your vintage dataset, aiding the derisking of your project. Vintage data reprocessing can also offer a low cost start to the exploration process, or entry to a new area. By making the most of what you have today, you can minimise/delay or re-define the potential acquisition phase for new data. Talk to us to see how we can help with your vintage datasets – we can illuminate, enhance and de-risk. 1980’s East African 2D land dataset before and after EPI processing, with improved frequency spectrum and enhanced resolution after the development of a better velocity model
Bespoke processing – Why experience matters
At EPI, we’re not your average processing house. We offer specialist bespoke processing for smaller data quantities (typically 500km2 of 3D and 2000km of 2D), where high end algorithms and focussed flows are used to make the most of your recent acquisition. We utilise state of the art processing algorithms, combined with our own proprietary codes to create unique processing flows, specifically designed and tuned to your datasets…We focus on quality. Our dedicated processing team are all hard-core career geophysicists. Each member of the team has significant experience and capability, which can be demonstrated. We don’t palm off our processing to junior staff; all the work is carried out by our experienced team – each velocity pick, every parameter decision – all backed up by a minimum of 10+ years processing experience.
Get smart with QC Processing – It’s all about the data
EPI acts on behalf of clients for Quality Control during large scale processing at 3rd party processing contractors. We can provide people to work alongside your team, who will routinely visit the processing centres and provide input into the necessary tests and parameterisation to achieve the desired de-risking.
Our team have a wealth of experience in many different processing systems including Geovation, Omega, CubeManager, OpenCPS, Claritas, SeisSpace and many more. We have thorough knowledge in providing QC/QA services for land and marine HR, 2D, 3D/C (including broadband), 4D/C, OBC and TZ surveys, as well as specialist depth processing advice.
We can even utilise the power of our in-house systems to run QC checks on volumes such as volume autocorrelation for demultiple assurance, horizon recovery analysis using point spread functions, and even assist with direct steering on velocity models with our implementation of full waveform inversion (FWI)
QC processing is critical when processing large projects to ensure that the data is suitable to support for the derisking required.
Does your team have the in-depth knowledge and experience to ensure the correct flows are being used? If not, use the people who have the expertise and intimate knowledge of today’s modern processing techniques.
Why take the risk with your dataset?
Understand the confidence levels possible with your data
At EPI, when processing or QC’ing data for our clients, we are always thinking about the derisking which the data is going to need to support. Attributes of various sorts may be required – from frequency based for section scanning using instantaneous envelope, frequency, phase and Q, to rock properties like elastic impedance that require accurate wavelet and velocity model definition.
We can produce a number of these attributes if required, but most importantly we are big believer in ‘error bars’ since it is extremely important for the client to know the confidence levels the properties or attributes carry. The best way to do this is through sensitivity analysis where errors in the various seismic velocity models can be estimated through residual RMO/anisotropy analysis and even the wavelet estimation are used to produce a possible range for the inversions required. For example it is common to calculate this for pore pressure prediction for well derisking.
Although the client would of course (and should), wish to look at this themselves, this give the client a very good initial understanding of some of the inherent strengths and weaknesses of the data on delivery.