Each project is different, each CLIENT too, so DataSeismic offers different solutions to Static Corrections calculation problem using various calculation methods empowered by the last generation software. As requirement of the CLIENT DataSeismic use these methods:
- Delay Time (ProMAX)
- Delay Time con GLI (Seismic Studio)
- Tomography (Seismic Studio)
- Hybrid (Seismic Studio)
The Hybrid static corrections stand out since they have the best characteristics of the Delay Time and Tomography methods. They are compose by the Low Frequency content of tomographic statics, which turns out to be more precise and reliable and the High Frequency content of the static corrections obtained using Delay Time, being in this case of greater quality and precision.
After the technical meetings between DataSeismic’s Analysts and the CLIENT supervision, the best solution will be use, obtaining a positive result and a complete technical expectation.
This kind of analysis is a key part to find a reliable solution in 2D and 3D Land projects, being today after years of research and development, one of main challenges in creation of the geological-geophysical model.
Velocity Field Model
As it is well known a suitable and reliable velocity, field model allows the geophysical model to be closest to the geologic model.
In order to obtain the best velocity field model, in Dataseismic, we perform several velocity analyses, allowing us to have as a result a smooth and accurate velocity field model.
In the case of 3D seismic data, we perform velocity analyses that are interpreted in the direction of the inlines (receivers) and the crosslines (sources) obtaining smoothing results in the velocity field.
The use of Direct Hydrocarbon Indicators requires the processing and analysis of the seismic models in pseudo-true amplitude. For that we perform a detailed analysis of the parameters of Gain Recovery and Inelastic Attenuation in order to determine a suitable recovery curve. A Surface Consistent Amplitude Compensation (SCAC) is made in order to balance consistently the energy of each trace taking into account the source, the receiver, the source-receiver distance (offset), and the CDP to which contribute.
We perform an exhaustive analysis of the Autocorrelations and Power Spectrum in order to determine the best Length of Operator and Range of Prediction for the Deconvolution and to obtain one wavelet that solves the geologic problem and improves the signal/noise ratio.
Different types of filters are analyzed to improve the signal-noise ratio, as well as the content of frequency. Dataseismic have a standardized routine that allows them to maintain from project to project a uniform quality level.
This stage requires fluid communication with the interpreter, in order to focus in the zones of interest. As well the geologic information contributed by the interpreter helps to have a better understanding of process.