loopstructural

name	loopstructural
description	Build 3D geological models with implicit surfaces, faults, folds, and stratigraphic constraints from structural geology data. Use when Claude needs to: (1) Build 3D geological models from structural data, (2) Model fault networks and displacements, (3) Create folded geology representations, (4) Interpolate geological surfaces, (5) Export models to VTK for visualization, (6) Perform uncertainty analysis on geological models, (7) Evaluate model values on grids.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["Geological Modelling","3D","Faults","Folds","Structural Geology"]
dependencies	["LoopStructural>=1.5.0","numpy","pandas"]
complements	["gemgis","gempy","pyvista"]
workflow_role	modelling

LoopStructural - 3D Geological Modelling

Quick Reference

from LoopStructural import GeologicalModel
from LoopStructural.visualisation import LavaVuModelViewer
import pandas as pd
import numpy as np

# Create model
model = GeologicalModel(origin=[0, 0, -1000], maximum=[10000, 10000, 0])

# Add data
model.data = pd.DataFrame({
    'X': [5000], 'Y': [5000], 'Z': [-500],
    'feature_name': ['strat'], 'val': [0]
})

# Build and visualize
model.create_and_add_foliation('strat', interpolatortype='PLI')
model.update()

viewer = LavaVuModelViewer(model)
viewer.add_isosurface(model['strat'], isovalue=0)
viewer.interactive()

Key Classes

Class	Purpose
GeologicalModel	Main model container - holds features and data
ProcessInputData	Data preparation and validation
StructuralFrame	Coordinate system for fold modelling
FaultSegment	Individual fault surface with displacement

Essential Operations

Build Stratigraphic Model

model = GeologicalModel([0, 0, -], [, , ])
model.data = pd.DataFrame({
    : [, , ],
    : [, , ],
    : [-, -, -],
    : [, , ],
    : [, , ]  
})
model.create_and_add_foliation(, interpolatortype=, nelements=)
model.update()