seismic-interpretation

End-to-end seismic interpretation workflow from SEG-Y loading through signal processing, rock physics, and visualization. Use when working with seismic data analysis pipelines.

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Repositorio: SteadfastAsArt/geoscience-skills
Última actividad en el origen: 3 de febrero de 2026 a las 14:32
Idioma detectado de SKILL.md: inglés
Estrellas: 53
Forks: 4

Opciones de instalación

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npx skills add https://github.com/SteadfastAsArt/geoscience-skills --skill seismic-interpretation

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gnnwr

Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when Claude needs to: (1) Build spatially varying coefficient regression models, (2) Analyze geographic non-stationarity in spatial data, (3) Generate spatial coefficient maps for publication, (4) Run spatiotemporal regression with GTNNWR, (5) Scale geographically weighted regression to large datasets (N > 10k) with KNN mode, (6) Diagnose spatial model performance with F-tests, AIC, and residual maps.

2026-03-15

using-geoscience-skills

Foundation skill for the geoscience skills library. Routes user intent to the correct domain skills, slash commands, and workflow skills. Loaded automatically at session start via SessionStart hook.

2026-03-15

bruges

Geophysical equations and rock physics calculations for seismic analysis. Use when Claude needs to: (1) Calculate AVO responses (Zoeppritz, Shuey, Aki-Richards), (2) Perform Gassmann fluid substitution, (3) Generate seismic wavelets (Ricker, Ormsby), (4) Compute reflectivity and synthetic seismograms, (5) Calculate elastic moduli from velocities, (6) Apply Gardner/Castagna empirical relations, (7) Model rock physics effects.

2026-02-03

Ver todos los de este repositorio

Seismic Interpretation Workflow

End-to-end pipeline for seismic data analysis, from loading SEG-Y files through signal processing, rock physics modelling, and 3D visualization.

Skill Chain

segyio obspy bruges disba pyvista [SEG-Y I/O] --> [Signal Proc] --> [Rock Physics] --> [Dispersion] --> [3D Viz] | | | | | Load traces Filter/FFT AVO modelling Surface waves Volume render Read headers Instrument resp Fluid sub Phase velocity Slice display 3D geometry Spectral anal Synthetics Inversion Horizon pick

Decision Points

Question

If Yes

If No

Working with SEG-Y files?

Start with segyio

Use obspy for miniSEED/SAC

Need frequency filtering or spectral analysis?

Use obspy signal tools

Skip to rock physics

Performing AVO or fluid substitution?

Use bruges

Skip to visualization

Analysing surface waves (MASW/SASW)?

Use disba for dispersion

Skip disba

Need 3D volume rendering?

Use pyvista

Use matplotlib for 2D

Step-by-Step Orchestration

Stage 1: Data Loading (segyio)

import segyio import numpy as np # Load and inspect SEG-Y with segyio.open('survey.sgy', 'r', iline=189, xline=193) as f: n_traces = f.tracecount n_samples = len(f.samples) dt = f.samples[1] - f.samples[0] # ms cube = segyio.tools.cube(f) # (ilines, xlines, samples) cdp_x = f.attributes(segyio.TraceField.CDP_X)[:] cdp_y = f.attributes(segyio.TraceField.CDP_Y)[:]