geophysical-inversion

Plugin geophysical-inversion from marketplace geoscience-skills in SteadfastAsArt/geoscience-skills. Commands read from the repo's manifest — 10 days ago.

Skills (48)

• boule

  Calculate reference-ellipsoid geometry, normal gravity and geodetic/geocentric coordinate conversions with Boule. Use for gravity reference corrections and planetary ellipsoids; this does not transform between geodetic datums or compute terrain corrections.

• bruges

  Geophysical equations and rock physics calculations for seismic analysis. Use when the agent 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 seismog

• devito

  Symbolic PDE solver with automatic code generation for finite-difference computations. Use when the agent needs to: (1) Perform seismic wave propagation modeling, (2) Implement acoustic or elastic wave equations, (3) Run forward modeling for shot gathers, (4) Set up Full Waveform Inversion (FWI) wor

• disba

  Compute Rayleigh and Love wave phase/group dispersion and sensitivity kernels for one-dimensional isotropic layered Earth models. Use when forward modelling velocity profiles, comparing layered models, or preparing numerical derivatives for a separately defined inversion. Does not extract observed d

• discretize

  Create finite-volume meshes and discrete differential operators with discretize. Use for TensorMesh or TreeMesh geometry, cell/face/edge ordering, divergence, interpolation and meshes supporting SimPEG; use a physics solver for inversion itself.

• dlisio

  Read and parse DLIS (Digital Log Interchange Standard) and LIS (Log Information Standard) well log files. Use when the agent needs to: (1) Read/parse DLIS or LIS files, (2) Extract well log curves as numpy arrays, (3) Access file metadata and origin information, (4) Handle multi-frame or multi-file

• ensaio

  Fetch versioned Fatiando geoscience datasets with Ensaio and preserve their hashes, citations and data conventions. Use for reproducible sample-data acquisition and replacing supported RockHound datasets; the fetchers return paths for format-specific readers.

• flopy

  Build, run, inspect and diagnose MODFLOW groundwater flow models with FloPy. Use for aquifer discretization, recharge and boundary conditions, hydraulic heads, groundwater budgets and MODFLOW 6 output; use Pastas for statistical head time series.

• gemgis

  Spatial data processing for geological modelling with GemPy. Use when the agent needs to: (1) Prepare spatial data for GemPy models, (2) Extract interface points from geological maps, (3) Process orientations/dip measurements, (4) Sample DEMs along profiles or cross-sections, (5) Convert between GIS

• gempy

  3D structural geological modeling using implicit methods. Create geological models with faults, folds, and unconformities from surface points and orientations. Use when the agent needs to: (1) Build 3D geological models from surface contacts and orientations, (2) Model faults, unconformities, or int

• geolime

  Assess and maintain licensed GeoLime geological or mining-model workflows, checking the installed vendor API, drillhole conventions and model validation. Use when a project explicitly uses GeoLime; the public PyPI placeholder does not provide a working modelling API.

• geostatspy

  GSLIB-inspired geostatistics library for variogram analysis, kriging, and simulation. Use when the agent needs to: (1) Calculate experimental variograms, (2) Fit variogram models, (3) Perform simple/ordinary kriging, (4) Run sequential Gaussian simulation (SGSIM), (5) Apply normal score transforms,

• gnnwr

  Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when the agent needs to: (1) Build spatially varying coefficient regression models, (2) Analyze geographic non-stationarity in spatial data, (3) Generate spatial coefficient maps for publication

• gprpy

  Read and process ground-penetrating radar profiles using GPRPy. Use for sample-based dewow/background removal, auditable gain, time/depth scenarios, and radargram export with explicit acquisition units. SEG-Y input uses a separate segyio adapter; native GPRPy files are serialized sessions. version:

• harmonica

  Gravity and magnetic data processing and forward modelling using Fatiando a Terra. Use when the agent needs to: (1) Compute gravity forward models (point masses, prisms, tesseroids), (2) Apply terrain/Bouguer corrections, (3) Grid scattered potential field data with equivalent sources, (4) Perform u

• landlab

  Landscape evolution and surface process modelling in Python. Build 2D numerical models for erosion, hydrology, soil transport, and geomorphology. Use when the agent needs to: (1) Model landscape evolution over time, (2) Simulate river/stream erosion, (3) Route water flow across terrain, (4) Model hi

• lasio

  Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data. Use when the agent needs to: (1) Read/parse LAS 1.2 or 2.0 files, (2) Extract well headers or curve data, (3) Convert LAS to DataFrame/CSV/Excel, (4) Create new LAS files from arrays,

• loopstructural

  Build 3D geological models with implicit surfaces, faults, folds, and stratigraphic constraints from structural geology data. Use when the agent needs to: (1) Build 3D geological models from structural data, (2) Model fault networks and displacements, (3) Create folded geology representations, (4) I

• mplstereonet

  Stereonet plots for structural geology using matplotlib. Create lower-hemisphere stereographic projections for orientation data. Use when the agent needs to: (1) Create stereonet plots for structural data, (2) Plot planes as great circles or poles, (3) Plot lineations with trend/plunge, (4) Generate

• mtpy

  Read and validate magnetotelluric transfer functions with MTpy-v2. Use for EDI import, impedance uncertainty, apparent resistivity/phase, documented tensor rotations, response plots and preparation for modelling. External inversion solvers and raw time-series processing require separate tools and va

• obspy

  Seismology data processing with ObsPy. Helps with reading seismic waveforms, filtering/processing time series, fetching data from FDSN services, and earthquake analysis. Use when the agent needs to: (1) Read seismic data formats (MiniSEED, SAC, GSE2, SEGY), (2) Filter or process waveforms, (3) Fetch

• pastas

  Groundwater time series analysis and modelling using transfer function noise models. Use when the agent needs to: (1) Analyze groundwater level time series, (2) Model well responses to precipitation/pumping, (3) Calibrate aquifer parameters from head data, (4) Forecast or hindcast groundwater levels

• petropy

  Configure PetroPy fluid-property and multimineral formation evaluation from normalized LAS well logs. Use for calibrated porosity, water saturation, mineral and pore-volume estimation, missing-sample handling, and explicitly defined pay intervals. Requires documented log units, fluid parameters and

• pooch

  Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when the agent needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify fil

• pygimli

  Multi-method geophysical modelling and inversion framework. Use when the agent needs to: (1) Perform electrical resistivity tomography (ERT) inversion, (2) Run seismic refraction tomography (SRT), (3) Model induced polarization (IP) data, (4) Simulate ground penetrating radar (GPR), (5) Create finit

• pygmt

  Make geographic maps and process geospatial grids with PyGMT and GMT, including projection, regions, grid registration and vector/raster export. Use for GMT cartography and map-ready scientific data; check the separate GMT shared library before plotting.

• pyleoclim

  Analyse paleoclimate proxy time series with Pyleoclim, including irregular sampling, spectra and comparisons across uncertain chronologies. Use for proxy Series and EnsembleSeries analysis, spectral peaks and age-model sensitivity; use xarray for gridded climate fields.

• pylops

  Linear operators for large-scale inverse problems with matrix-free representations. Use when the agent needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, deri

• pyrolite

  Geochemistry data analysis and visualization for igneous, metamorphic, and sedimentary rocks. Use when the agent needs to: (1) Create ternary diagrams for compositional data, (2) Plot REE spider diagrams with normalization, (3) Build TAS or other classification diagrams, (4) Apply log-ratio transfor

• pyvista

  3D visualization and mesh analysis for geoscience data using PyVista/VTK. Use when the agent needs to: (1) Create 3D visualizations of geological models, (2) Render seismic volumes or voxel data, (3) Visualize point clouds or well paths, (4) Plot surfaces and meshes in 3D, (5) Read/write VTK, STL, O

• rockhound

  Maintain or migrate legacy RockHound geoscience dataset downloads, caches and loaders such as PREM. Use when an existing project imports RockHound; prefer maintained Ensaio fetchers for supported new dataset workflows.

• scikit-gstat

  Estimate and diagnose variograms, perform ordinary kriging, and validate spatial interpolation with SciKit-GStat. Use for empirical or directional variograms, covariance-model comparison and kriging prediction/variance; use PyKrige or GSTools when the task requires universal kriging or external drif

• segyio

  Read, write, and manipulate SEG-Y seismic data files. Fast C library with Python bindings for trace, header, inline, and crossline access. Use when the agent needs to: (1) Read/inspect SEG-Y files, (2) Extract trace data or headers, (3) Access 3D survey data by inline/crossline, (4) Create new SEG-Y

• segysak

  Read SEG-Y as labelled xarray datasets with SEGY-SAK, inspect header-defined survey dimensions and process seismic volumes lazily. Use for SEG-Y/xarray/Dask workflows; use segyio for exact low-level trace and header editing.

• simpeg

  Simulation and Parameter Estimation in Geophysics. Framework for geophysical forward modeling and inversion. Use when the agent needs to: (1) Run geophysical inversions (DC resistivity, magnetics, gravity, EM), (2) Create forward models for potential fields or electromagnetic methods, (3) Build surv

• striplog

  Create, visualize, and analyze lithological and stratigraphic logs for well data. Use when the agent needs to: (1) Create lithology columns from depth intervals, (2) Parse geological descriptions into structured logs, (3) Visualize stratigraphic columns with patterns and colors, (4) Perform well-to-

• using-geoscience-skills

  Discover and compose geoscience skills for Python coding tasks. Use when choosing a geoscience library, finding a skill for a data format or method, or planning work across seismic, well logs, geological modelling, inversion, and other geoscience domains. skill_type: meta version: 1.0.2 author: Geos

• verde

  Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when the agent needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process

• welly

  Subsurface well data analysis toolkit for loading, processing, and analyzing well logs, projects, and formation tops. Built on lasio with enhanced curve processing. Use when the agent needs to: (1) Load wells from LAS files with metadata, (2) Work with multi-well Projects, (3) Process curves (despik

• climate-analysis

  Analyse labelled climate time series and gridded or station observations with checked calendars, aggregation, climatological baselines and spatial validation. Use for climate anomalies, regional summaries or station-to-grid analysis; distinguish descriptive analysis from future-time prediction. vers

• geological-modelling

  3D geological modelling workflow from spatial data preparation through implicit surface modelling and 3D visualization. Use when building geological models from surface data, boreholes, or GIS inputs. skill_type: workflow version: 1.0.2 author: Geoscience Skills tags: '["Geological Modelling", "3D",

• geophysical-inversion

  Geophysical data inversion workflow from data loading through mesh creation, forward modelling, inversion, and result visualization. Use when inverting ERT, magnetics, gravity, or EM survey data. skill_type: workflow version: 1.0.2 author: Geoscience Skills tags: '["Geophysical Inversion", "ERT", "M

• hydrogeological-analysis

  Combine groundwater observations, well logs, and meteorological stresses into a checked hydrogeological interpretation or groundwater-level model. Use for aquifer monitoring and recharge/pumping response analysis, with spatial flow modelling only when its geometry and boundary data are available. ve

• near-surface-geophysics

  Plan and validate near-surface interpretation from GPR, electrical resistivity tomography, or magnetotelluric data. Use when selecting acquisition-dependent processing and inversion branches, comparing survey results, or relating geophysical anomalies to independently supported geological hypotheses

• rock-physics-avo

  Rock physics and AVO analysis workflow from well log preparation through elastic property calculation, fluid substitution, AVO modelling, and synthetic seismogram generation. Use when performing rock physics studies or AVO feasibility analysis. skill_type: workflow version: 1.0.2 author: Geoscience

• 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. skill_type: workflow version: 1.0.2 author: Geoscience Skills tags: '["Seismic", "Interpretation", "SEG-Y", "Rock Physics",

• well-log-evaluation

  Complete well log evaluation workflow from LAS/DLIS loading through QC, petrophysical analysis, lithology classification, and visualization. Use when performing formation evaluation from well log data. skill_type: workflow version: 1.0.2 author: Geoscience Skills tags: '["Well Logs", "Petrophysics",

• xarray

  N-dimensional labeled arrays for geoscience data. Read/write NetCDF, work with climate and oceanographic datasets, perform multi-dimensional analysis with labeled coordinates. Use when the agent needs to: (1) Read/write NetCDF or Zarr files, (2) Work with multidimensional arrays with labeled dimensi

Subagents (3)

• cross-validation-reviewer

  Review geoscience model validation for spatial, temporal and grouped leakage, independence of reference data, fair baselines and uncertainty claims. Use when judging predictive or inversion-validation evidence, not as a required gate for ordinary data loading.

• data-qc-reviewer

  Geoscience data quality control specialist. Reviews well log, seismic, and spatial datasets for common data quality issues. Use when loading new datasets or before running analysis pipelines.

• geoscience-mentor

  Geoscience domain expert that guides skill selection and workflow planning. Helps users unfamiliar with the geoscience Python ecosystem find the right tools for their tasks.