Advanced Seismic Data Interpretation

Combine seismic reflections with well data, sonic and density logs, and surface geophysical information to interpret rock types, ages, thicknesses, and depth to basement, with necessary path corrections.

Generate synthetic seismograms by convolving wavelets with reflection coefficients and summing at their positions to reproduce seismic reflections. Compare synthetic results with real seismic data using velocity logs and impedance.

Explore vertical seismic profile (VSP) recording, receiver positions, walk-away and near-offset VSP, and how processed data support seismic interpretation and trace correlation.

Pick and map horizons by selecting wavelet parts, using zero crossings and the leading zero crossing for minimum and zero phase polarity, then tie across lines to define horizons.

Learn to pick and map seismic horizons and interpret time maps by hand, then connect lines across a base map, align with regional geology, and choose control intervals.

Pick and map horizons by analyzing the time difference of reflections between lines, tracing a reflection around a seismic loop to verify correct placement.

Explore computer mapping for seismic data using regular grids and various grading algorithms, interpolate with contouring for 2D and 3D horizons, and compare auto and manual tracking for oil-water contacts.

Demonstrate how a seismic workstation supports interpretation with multi-display, horizon lines, random line selection, horizon flattening, and interactive 3-D data exploration for interpretation refinement.

Learn conventional seismic data interpretation by deriving impedance from velocity and density, generating synthetic seismographs, and correlating seismic reflections with horizons and their measured times.

Explore how multiple reflections, velocity variations, and geometrical distortions affect seismic data, including long- and short-period multiples, ghost effects, and side-sweep, with migration helping mitigate these pitfalls.

Explore seismic stratigraphy and reflection character analysis to subdivide seismic data into stratigraphic units and identify rock types and reservoir horizons.

Learn to interpret stratigraphic features from seismic data, deducing facies and reservoir properties via reflection analysis and forward modeling to fit synthetic seismographs.

Explore advanced seismic attributes that yield geology from data beyond horizon mapping. Learn continuous amplitude, instantaneous frequency and phase, and complex seismic traces for attenuation and oil and gas indicators.

Explore single-trace window attributes, including average, maximum, absolute, and RMS amplitudes, to highlight extreme signals and abrupt changes, and apply spectral decomposition to reveal bed thickness variability and lateral discontinuities.

Explore multi-trace window attributes, with guidance as the most used attribute to measure inline and across-line waveform similarity. See how coherence identifies horizontal-plane discontinuities, with variance as its inverse.

Explore advanced geophysical techniques for surface attributes, including texture maps, light-source with variable inclination, plane connections between interpreted horizon samples, and local surface curvature calculations to enhance seismic images.

Examine amplitude versus offset and energy partition at interfaces to indicate hydrocarbons. Relate incidence angle, reflection coefficients, and intercept–gradient analysis to classify gas responses into four classes.

Explore 4D seismic time-lapse analysis using repeated 3D surveys to monitor dynamic fluid movements, measuring amplitude, acoustic impedance, and velocity through careful acquisition, processing, and inversion.

Advance seismic data interpretation introduces 4C seismic, producing seven volumes to capture four components of p-wave and s-wave, enabling hydrocarbon and fracture detection and repeatable time-lapse imaging.

Learn how time-to-depth conversion depends on accurate velocity maps, use stacking velocity and wind velocities to build depth models, visualize 3d seismic data, and leverage acoustic impedance for porosity insights.

Convert seismic time to depth using velocity models, including average and interval velocities. Integrate seismic and well data to produce accurate depth maps for oil targets and field development.