Synthetic model
Acquisition
- class PyFWI.acquisition.Source(src_loc, dh, dt, src_type=0)
Bases:
objectA class for defining different types of sources.
- Parameters:
src_loc (float32) – location of sources.
dh (float) – Spatial sampling rate.
dt (float) – Temporal sampling rate
src_type (int, optional) –
- Source type: 0: explosive
1: directional x 2: directional z
- Ricker(fdom)
Amethod to generate Ricker wavelet.
- Parameters:
fdom (float32) – Dominant frequency of wavelet
- delta()
A method to generate spike.
- Parameters:
fdom (float32) – Dominant frequency of wavelet
- PyFWI.acquisition.acq_parameters(ns, rec_dis, offsetx, depth, dh, sdo, acq_type)
A function to define the acquisition based on user’s demand
- Parameters:
INPA (dictionary) –
- A dictionnary containing required parameters for iversion, at least:
ns: Number of sources
rec_dis: Distance between receivers
offsetx: Length of acquisition in x-direction
depth: Depth of acquisition
dh: spatial sampling rate
sdo: Spatial differentiation order
acq_type: Type of acquisition (0: crosswell, 1: surface, 2: both)
- Returns:
src_loc (float32) – Location of sources
rec_loc (float32) – Location of receivers
n_surface_rec (int) – Number of receivers at the surface
n_well_rec (int) – Number of receivers in wells at each side of the model
- PyFWI.acquisition.acquisition_plan(ns, nr, src_loc, rec_loc, acq_type, n_well_rec, dh)
acquisition_plan generates the matrix of acquisition plan
[extended_summary]
- Parameters:
ns ([type]) – [description]
nr ([type]) – [description]
src_loc ([type]) – [description]
rec_loc ([type]) – [description]
acq_type ([type]) – [description]
n_well_rec ([type]) – [description]
dh ([type]) – [description]
- Returns:
[description]
- Return type:
[type]
- PyFWI.acquisition.crosswell(ns, rec_dis, offsetx, depth, dh, sdo)
A function to design a crosswell acquisition
- Parameters:
ns (int) – Number of sources
rec_dis (float32) – Distance between receivers
offsetx (flloat32) – Length of survey in x-direction
depth (float32) – Depth of survey
dh (float32) – Sampling rate
sdo ({2, 4, 8}) – Spatial order of finite difference method
- Returns:
src_loc (float32) – Location of sources
rec_loc (float32) – Location of receivers
- PyFWI.acquisition.discretized_acquisition_plan(data_guide, dh, npml=0)
discretized_acquisition_plan discretizes the matrix of acquisition plan
[extended_summary]
- Parameters:
data_guide ([type]) – [description]
dh ([type]) – [description]
npml (int, optional) – [description]. Defaults to 0.
- Returns:
[description]
- Return type:
[type]
- PyFWI.acquisition.surface_seismic(ns, rec_dis, offsetx, dh, sdo)
A function to design a surface seismic acquisition
- Parameters:
ns (int) – Number of sources
rec_dis (float32) – Distance between receivers
offsetx (flloat32) – Length of survey in x-direction
depth (float32) – Depth of survey
dh (float32) – Spatial sampling rate
sdo ({2, 4, 8}) – Spatial order of finite difference method
- Returns:
src_loc (float32) – Location of sources
rec_loc (float32) – Location of receivers
Wave propagation
- class PyFWI.wave_propagation.WavePropagator(inpa, src, rec_loc, model_shape, components=0, n_well_rec=0, chpr=0, set_env_variable=True)
wave_propagator is a class to handle the forward modeling and gradient calculation.
[extended_summary]
- Parameters:
inpa (dict) – A dictionary including most of the required inputs
src (class) – Source object
rec_loc (ndarray) – Location of the receivers
model_shape (tuple) – Shape of the model
n_well_rec (int) – Number of receivers in the well
chpr (percentage) – Checkpoint ratio in percentage
component – Seismic output
- WavePropagator.forward_modeling(model0, show=False)
forward_modeling performs the forward modeling.
- Parameters:
model0 (dict) – The earth model
show (bool, optional) – True if you desire to see the propagation of the wave, by default False
- Returns:
Seismic section
- Return type:
dict