Advanced Seismic Data Processing

Explore basic reflection theory in seismic data, detailing body and surface waves, p waves, shear waves, and how impedance contrasts govern reflection, transmission, velocity, wavelength, amplitude, and frequency.

Explore seismic data resolution and limitations, detailing vertical and lateral resolution, the resolvable limit and minimum separation of reflectors, and how velocity and frequency affect detection.

Explore the cosine function as a model of isolated periodic motion, and define the period, frequency, omega, wavelength lambda, and wave number k.

Learn how time-domain and space-domain sampling affect seismic data and why choosing a proper sample rate prevents aliasing, with Nyquist and anti-aliasing filters.

Explore digitisation and sampling in time and space for seismic data, from analog recording and amplification to analog-to-digital conversion and multiplexed data, enabling advanced 3D seismic data processing.

Explore how the Fourier transform connects time and frequency in seismic data, decomposing periodic waves into sine and cosine harmonics and yielding reversible amplitude and phase spectra.

Explore seismic data processing via deconvolution, mastering deterministic, predictive, and statistical methods—including zero-phase and spiking deconvolution—to recover the reflection series by removing the wavelet and sharpening high frequencies.

Explore static correction methods in seismic processing, including elevation studies, refraction statics, near-surface models, first arrival tomography, and horizon/reflection residuals to address long and short wave static variations.

Advance seismic data processing by applying refraction statics, covering 3D and 2D approaches, first breaks, travel times, weathering velocity, and iterative velocity model refinement for accurate static corrections.

Tomographic statics derive a near-surface velocity model from first-arrival travel times and compute static time corrections to address long-wavelength velocity and elevation variations.

Explains horizon-based statics in advanced seismic data processing, showing how flattening with a shallow horizon corrects deep texture and preserves structural features.

Learn to apply residual statics in advanced seismic data processing by cross-correlating traces with a model, estimating time shifts via least-squares iterations, and improving reflector continuity.

Explore multiple attenuation as a core step in seismic data processing, distinguishing primaries from various multiples and applying velocity-based separation, redundancy, and physical modelling to subtract noise.

Explains advanced seismic data processing with radon transform techniques for multiple attenuation and demonstrates high-resolution radon to separate primaries from multiples.

Apply correlation based pattern recognition to attenuate multiples after stacking in seismic data, using knowledge of the generator and mechanism to estimate and remove water bottom multiples, yielding clearer primaries.

Identify and mitigate acquisition footprints, a linear crosshatch noise aligned with source and receiver lines that distort seismic attributes, amplitude, and stratigraphic mapping, improved by footprint removal.

Explore moveout correction for deep, dipping events and how migration relocates data to true positions in 2d and 3d, collapsing diffracted energy.

Explore attribute analysis of seismic data using continuous attributes—instantaneous real amplitude, instantaneous phase, and instantaneous frequency—to assess reflection continuity and seismic attenuation linked to oil and gas.

Explore an end-to-end seismic data processing sequence, from resampling and divergence correction to spiking, ground roll attenuation, random noise suppression, velocity analysis, residual statics, migration, and post-stack improvements.