{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## **Viscoelastic wave equation implementation on a staggered grid**\n", "\n", "This is a first attempt at implementing the viscoelastic wave equation as described in [1]. See also the FDELMODC implementation by Jan Thorbecke [2]. \n", "\n", "In the following example, a three dimensional toy problem will be introduced consisting of a single Ricker source located at (100, 50, 35) in a 200 m $\\times$ 100 m $\\times$ 100 *m* domain." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Required imports:\n", "import numpy as np\n", "import sympy as sp\n", "\n", "from devito import *\n", "from examples.seismic.source import RickerSource, TimeAxis\n", "from examples.seismic import ModelViscoelastic, plot_image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model domain is now constructed. It consists of an upper layer of water, 50 m in depth, and a lower rock layer separated by a 4 m thick sediment layer." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Domain size:\n", "extent = (200., 100., 100.) # 200 x 100 x 100 m domain\n", "h = 1.0 # Desired grid spacing\n", "shape = (int(extent[0]/h+1), int(extent[1]/h+1), int(extent[2]/h+1))\n", "\n", "# Model physical parameters:\n", "vp = np.zeros(shape)\n", "qp = np.zeros(shape)\n", "vs = np.zeros(shape)\n", "qs = np.zeros(shape)\n", "rho = np.zeros(shape)\n", "\n", "# Set up three horizontally separated layers:\n", "vp[:,:,:int(0.5*shape[2])+1] = 1.52\n", "qp[:,:,:int(0.5*shape[2])+1] = 10000.\n", "vs[:,:,:int(0.5*shape[2])+1] = 0.\n", "qs[:,:,:int(0.5*shape[2])+1] = 0.\n", "rho[:,:,:int(0.5*shape[2])+1] = 1.05\n", "\n", "vp[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 1.6\n", "qp[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 40.\n", "vs[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 0.4\n", "qs[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 30.\n", "rho[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 1.3\n", "\n", "vp[:,:,int(0.5*shape[2])+1+int(4/h):] = 2.2\n", "qp[:,:,int(0.5*shape[2])+1+int(4/h):] = 100.\n", "vs[:,:,int(0.5*shape[2])+1+int(4/h):] = 1.2\n", "qs[:,:,int(0.5*shape[2])+1+int(4/h):] = 70.\n", "rho[:,:,int(0.5*shape[2])+1+int(4/h):] = 2." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now create a Devito vsicoelastic model generating an appropriate computational grid along with absorbing boundary layers:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [ "nbval-ignore-output" ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Operator `initdamp` run in 0.04 s\n", "Operator `padfunc` run in 0.01 s\n", "Operator `padfunc` run in 0.01 s\n", "Operator `padfunc` run in 0.04 s\n", "Operator `padfunc` run in 0.01 s\n", "Operator `padfunc` run in 0.01 s\n" ] } ], "source": [ "# Create model\n", "origin = (0, 0, 0)\n", "spacing = (h, h, h)\n", "so = 4 # FD space order (Note that the time order is by default 1).\n", "nbl = 20 # Number of absorbing boundary layers cells\n", "model = ModelViscoelastic(space_order=so, vp=vp, qp=qp, vs=vs, qs=qs,\n", " b=1/rho, origin=origin, shape=shape, spacing=spacing,\n", " nbl=nbl)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# As pointed out in Thorbecke's implementation and documentation, the viscoelastic wave euqation is\n", "# not always stable with the standard elastic CFL condition. We enforce a smaller critical dt here\n", "# to ensure the stability.\n", "model.dt_scale = .9" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The source frequency is now set along with the required model parameters:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Source freq. in MHz (note that the source is defined below):\n", "f0 = 0.12\n", "\n", "# Thorbecke's parameter notation\n", "l = model.lam\n", "mu = model.mu\n", "ro = model.b\n", "\n", "k = 1.0/(l + 2*mu)\n", "pi = l + 2*mu\n", "\n", "t_s = (sp.sqrt(1.+1./model.qp**2)-1./model.qp)/f0\n", "t_ep = 1./(f0**2*t_s)\n", "t_es = (1.+f0*model.qs*t_s)/(f0*model.qs-f0**2*t_s)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Time step in ms and time range:\n", "t0, tn = 0., 30.\n", "dt = model.critical_dt\n", "time_range = TimeAxis(start=t0, stop=tn, step=dt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Generate Devito time functions for the velocity, stress and memory variables appearing in the viscoelastic model equations. By default, the initial data of each field will be set to zero." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# PDE fn's:\n", "x, y, z = model.grid.dimensions\n", "damp = model.damp\n", "\n", "# Staggered grid setup:\n", "\n", "# Velocity:\n", "v = VectorTimeFunction(name=\"v\", grid=model.grid, time_order=1, space_order=so)\n", "\n", "# Stress:\n", "tau = TensorTimeFunction(name='t', grid=model.grid, space_order=so, time_order=1)\n", "\n", "# Memory variable:\n", "r = TensorTimeFunction(name='r', grid=model.grid, space_order=so, time_order=1)\n", "\n", "s = model.grid.stepping_dim.spacing # Symbolic representation of the model grid spacing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now the source and PDE's are constructed:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Source\n", "src = RickerSource(name='src', grid=model.grid, f0=f0, time_range=time_range)\n", "src.coordinates.data[:] = np.array([100., 50., 35.])\n", "\n", "# The source injection term\n", "src_xx = src.inject(field=tau[0, 0].forward, expr=src*s)\n", "src_yy = src.inject(field=tau[1, 1].forward, expr=src*s)\n", "src_zz = src.inject(field=tau[2, 2].forward, expr=src*s)\n", "\n", "# Particle velocity\n", "u_v = Eq(v.forward, model.damp * (v + s*ro*div(tau)))\n", "\n", "# Stress equations:\n", "u_t = Eq(tau.forward, model.damp * (s*r.forward + tau +\n", " s * (l * t_ep / t_s * diag(div(v.forward)) +\n", " mu * t_es / t_s * (grad(v.forward) + grad(v.forward).T))))\n", "\n", "# Memory variable equations:\n", "u_r = Eq(r.forward, damp * (r - s / t_s * (r + l * (t_ep/t_s-1) * diag(div(v.forward)) +\n", " mu * (t_es/t_s-1) * (grad(v.forward) + grad(v.forward).T) )))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now create and then run the operator:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Create the operator:\n", "op = Operator([u_v, u_r, u_t] + src_xx + src_yy + src_zz,\n", " subs=model.spacing_map)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Operator `Kernel` run in 23.92 s\n" ] }, { "data": { "text/plain": [ "PerformanceSummary([(PerfKey(name='section0', rank=None),\n", " PerfEntry(time=0.014005, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n", " (PerfKey(name='section1', rank=None),\n", " PerfEntry(time=23.899532, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n", " (PerfKey(name='section2', rank=None),\n", " PerfEntry(time=0.002672999999999997, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#NBVAL_IGNORE_OUTPUT\n", "\n", "# Execute the operator:\n", "op(dt=dt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before plotting some results, let us first look at the shape of the data stored in one of our time functions:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2, 241, 141, 141)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "v[0].data.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since our functions are first order in time, the time dimension is of length 2. The spatial extent of the data includes the absorbing boundary layers in each dimension (i.e. each spatial dimension is padded by 20 grid points to the left and to the right).\n", "\n", "The total number of instances in time considered is obtained from:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "150" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_range.num" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hence 223 time steps were executed. Thus the final time step will be stored in index given by:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.mod(time_range.num,2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let us plot some 2D slices of the fields `vx` and `szz` at the final time step:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#NBVAL_SKIP\n", "\n", "# Mid-points:\n", "mid_x = int(0.5*(v[0].data.shape[1]-1))+1\n", "mid_y = int(0.5*(v[0].data.shape[2]-1))+1\n", "\n", "# Plot some selected results:\n", "\n", "plot_image(v[0].data[1, :, mid_y, :], cmap=\"seismic\")\n", "plot_image(v[0].data[1, mid_x, :, :], cmap=\"seismic\")\n", "\n", "plot_image(tau[2, 2].data[1, :, mid_y, :], cmap=\"seismic\")\n", "plot_image(tau[2, 2].data[1, mid_x, :, :], cmap=\"seismic\")" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "#NBVAL_IGNORE_OUTPUT\n", "\n", "assert np.isclose(norm(v[0]), 0.102959, atol=1e-4, rtol=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# References\n", "\n", "[1] Johan O. A. Roberston, *et.al.* (1994). \"Viscoelatic finite-difference modeling\" GEOPHYSICS, 59(9), 1444-1456.\n", "\n", "\n", "[2] https://janth.home.xs4all.nl/Software/fdelmodcManual.pdf" ] } ], "metadata": { "@webio": { "lastCommId": null, "lastKernelId": null }, "hide_input": false, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 4 }