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2D/3D serial and parallel triangular mesh generation and mesh improvement for seismology

Project description

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SeismicMesh: Mesh generation for Seismology in Python

2D/3D triangular meshing for a slab of Earth based on modifications to the DistMesh algorithm. SeismicMesh is distributed under GPL3.

Installation

For installation, SeismicMesh needs CGAL (https://www.cgal.org/):

sudo apt install libcgal-dev

and pybind11 (https://github.com/pybind/pybind11):

sudo apt-get install python-pybind11

After that, SeismicMesh can be installed from the Python Package Index (https://pypi.org/project/SeismicMesh/), so with:

pip install -U SeismicMesh

For more detailed information about installation and requirements see:

Install - How to install SeismicMesh.

Example

The user can quickly build quality 2D/3D meshes from seismic velocity models in serial/parallel like so. First we take care of our imports:

import numpy as np
import zipfile

from mpi4py import MPI
import meshio

import SeismicMesh

comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()

Here we download a benchmark 3D velocity model and turn it into a Numpy array:

# https://s3.amazonaws.com/open.source.geoscience/open_data/seg_eage_models_cd/Salt_Model_3D.tar.gz

if rank == 0:
    # Dimensions of model (number of grid points in z, x, and y)
    nx, ny, nz = 676, 676, 210

    path = "velocity_models/Salt_Model_3D/3-D_Salt_Model/VEL_GRIDS/"
    # Extract Saltf@@ from SALTF.ZIP
    zipfile.ZipFile(path + "SALTF.ZIP", "r").extract("Saltf@@", path=path)

    # Load data into a numpy array
    with open(path + "Saltf@@", "r") as file:
        vp = np.fromfile(file, dtype=np.dtype("float32").newbyteorder(">"))
        vp = vp.reshape(nx, ny, nz, order="F")
        vp = np.flipud(vp.transpose((2, 0, 1)))  # z, x and then y

The domain is defined (in this case) as a cube and domain extents are provided in meters:

# Bounding box describing domain extents (corner coordinates)
bbox = (-4200, 0, 0, 13520, 0, 13520)

A graded sizing function is created from the velocity model along with a signed distance function by passing the velocity grid that we created above:

ef = SeismicMesh.MeshSizeFunction(
    bbox=bbox,
    velocity_grid=vp,
    dt=0.001,
    freq=2,
    wl=5,
    grade=0.25,
    hmin=150,
    hmax=5e3,
    domain_ext=250,
    padstyle="linear_ramp",
)

ef = ef.build()

The user then calls the mesh generator:

# Construct a mesh generator object
mshgen = SeismicMesh.MeshGenerator(ef)

# Build the mesh
points, cells = mshgen.build(max_iter=75, axis=1)

For 3D mesh generation, we provide an implementation to bound the minimum dihedral angle:

points, cells = mshgen.build(
    points=points, mesh_improvement=True, max_iter=50, min_dh_bound=5,
)

Meshes can be written quickly to disk using meshio and visualized with Paraview:

if rank == 0:
    meshio.write_points_cells(
        "EAGE_Salt.vtk", points / 1000.0, [("tetra", cells)],
    )

More information

All other information is available at: https://seismicmesh.readthedocs.io

Getting started - Learn the basics about the program and the application domain.

Tutorials - Tutorials that will guide you through the main features.

Project details


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SeismicMesh-1.2.42.tar.gz (184.3 kB view hashes)

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SeismicMesh-1.2.42-cp37-cp37m-macosx_10_15_x86_64.whl (2.3 MB view hashes)

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