simpeg.electromagnetics.static.resistivity.simulation.BaseDCSimulation#
- class simpeg.electromagnetics.static.resistivity.simulation.BaseDCSimulation(mesh, survey=None, storeJ=False, miniaturize=False, surface_faces=None, **kwargs)[source]#
Bases:
BaseElectricalPDESimulationBase class for 3D DC resistivity simulation.
This class is used to define properties and methods necessary for solving the 3D direct current resistivity problem using mimetic finite volume. The PDE we are solving is given by:
\[\nabla \cdot \sigma \nabla \phi = - I \delta (r)\]where we are solving for the electric potential \(\phi\) is the electric potential. The electrical conductivity is given by \(\sigma\), and \(I \delta (r)\) represents current I injected at point r. Child classes of
BaseDCSimulationsolve the above expression numerically for various cases using mimetic finite volume.- Parameters:
- mesh
discretize.base.BaseMesh The mesh.
- survey
resistivity.survey.Survey The DC resistivity survey.
- mesh
Attributes
Get cell inner product matrix.
Get inverse of cell inner product matrix.
Get cell center property inner product matrix.
Get cell center property inner product inverse matrix.
Get cell center property inner product matrix.
Get cell center property inner product inverse matrix.
Get edge inner product matrix.
Get inverse of edge inner product matrix.
Get edge property inner product matrix.
Get edge property inner product inverse matrix.
Get edge property inner product matrix.
Get edge property inner product inverse matrix.
Get face inner product matrix.
Get inverse of face inner product matrix.
Get face property inner product matrix.
Get face property inner product inverse matrix.
Get face property inner product matrix.
Get face property inner product inverse matrix.
Get node inner product matrix.
Get inverse of node inner product matrix.
Get node property inner product matrix.
Get node property inner product inverse matrix.
Get node property inner product matrix.
Get node property inner product inverse matrix.
Get volumes.
A list of solver objects to clean when the model is updated
SimPEG
Counterobject to store iterations and run-times.HasModel.deleteTheseOnModelUpdate has been deprecated.
Mesh for the simulation.
The inversion model.
True if a model is necessary
Electrical resistivity (ohm m) physical property model.
Derivative of Electrical resistivity (Ohm m) wrt the model.
Mapping of the inversion model to Electrical resistivity (Ohm m).
Path to directory where sensitivity file is stored.
Electrical conductivity (s/m) physical property model.
Derivative of Electrical conductivity (S/m) wrt the model.
Mapping of the inversion model to Electrical conductivity (S/m).
Numerical solver used in the forward simulation.
Set solver-specific parameters.
Whether to store the sensitivity matrix.
Return which boundary faces to interpret as surfaces of Neumann boundary.
The DC survey object.
Verbose progress printout.
Ainv
Methods
Jtvec(m, v[, f])Compute the adjoint sensitivity matrix times a vector.
Jtvec_approx(m, v[, f])Approximation of the Jacobian transpose times a vector for the model provided.
Jvec(m, v[, f])Compute the sensitivity matrix times a vector.
Jvec_approx(m, v[, f])Approximation of the Jacobian times a vector for the model provided.
MccRhoDeriv(u[, v, adjoint])Get derivative of MccProperty with respect to the model.
MccRhoIDeriv(u[, v, adjoint])Get derivative of MccPropertyI with respect to the model.
MccSigmaDeriv(u[, v, adjoint])Get derivative of MccProperty with respect to the model.
MccSigmaIDeriv(u[, v, adjoint])Get derivative of MccPropertyI with respect to the model.
MeRhoDeriv(u[, v, adjoint])Get derivative of MeProperty with respect to the model.
MeRhoIDeriv(u[, v, adjoint])Get derivative of MePropertyI with respect to the model.
MeSigmaDeriv(u[, v, adjoint])Get derivative of MeProperty with respect to the model.
MeSigmaIDeriv(u[, v, adjoint])Get derivative of MePropertyI with respect to the model.
MfRhoDeriv(u[, v, adjoint])Get derivative of MfProperty with respect to the model.
MfRhoIDeriv(u[, v, adjoint])Get derivative of MfPropertyI with respect to the model.
MfSigmaDeriv(u[, v, adjoint])Get derivative of MfProperty with respect to the model.
MfSigmaIDeriv(u[, v, adjoint])Get derivative of MfPropertyI with respect to the model.
MnRhoDeriv(u[, v, adjoint])Get derivative of MnProperty with respect to the model.
MnRhoIDeriv(u[, v, adjoint])Get derivative of MnPropertyI with respect to the model.
MnSigmaDeriv(u[, v, adjoint])Get derivative of MnProperty with respect to the model.
MnSigmaIDeriv(u[, v, adjoint])Get derivative of MnPropertyI with respect to the model.
dpred([m, f])Predicted data for the model provided.
fields([m, calcJ])Compute and return the fields for the model provided.
getJ(m[, f])Compute the sensitivity matrix for a given model.
getJtJdiag(m[, W, f])Return the diagonal of JtJ.
Return the discrete source term for all sources.
make_synthetic_data(m[, relative_error, ...])Make synthetic data for the model and Gaussian noise provided.
residual(m, dobs[, f])The data residual.