Tipper¶
This object can be used to store tipper (ZTEM) surveys - a natural-source geophysical method. Data are provided in the frequency-domain as point source measurements of tipper data.
The following example shows how to generate a tipper survey with associated data stored in geoh5
format and accessible from Geoscience ANALYST.
[1]:
import numpy as np
from geoh5py.objects import TipperBaseStations, TipperReceivers
from geoh5py.workspace import Workspace
# Create a new project
workspace = Workspace("my_project.geoh5")
# Define the pole locations
n_stations = 64
n_lines = 2
x_loc, y_loc = np.meshgrid(
np.linspace(0, 60, n_stations), np.linspace(-20, 20.0, n_lines)
)
vertices = np.c_[x_loc.ravel(), y_loc.ravel(), np.zeros_like(x_loc).ravel()]
# Assign a line ID to the poles (vertices)
parts = np.kron(np.arange(n_lines), np.ones(n_stations)).astype("int")
# Create the survey from vertices
receivers = TipperReceivers.create(workspace, vertices=vertices, parts=parts)
base = TipperBaseStations.create(workspace, vertices=vertices)
We have so far created two seperate entities, one for the receiver locations and another for the base station(s). In order to finalize the survey, the association must be made between the two entities:
[2]:
receivers.base_station = base
or equivalently
[3]:
base.receivers = receivers
Only one of the two options above is needed.
Metadata¶
Along with the TipperReceivers, the metadata contains all the necessary information to define the geophysical experiment.
[4]:
receivers.metadata
[4]:
{'EM Dataset': {'Base stations': UUID('8e49083f-3248-4b74-9c11-857cf0bf0f09'),
'Channels': [],
'Input type': 'Rx and base stations',
'Property groups': [],
'Receivers': UUID('ffbabed6-68e3-4084-9147-3b3c53d01d16'),
'Survey type': 'ZTEM',
'Unit': 'Hertz (Hz)'}}
Channels¶
List of frequencies at which the data are provided.
[5]:
receivers.channels = [30.0, 45.0, 90.0, 180.0, 360.0, 720.0]
Input type¶
Generic label used in the geoh5
standard for all EM survey entities. Restricted to Rx and base station
in the case of a tipper survey.
Property groups¶
List of PropertyGroups defining the various data components (e.g. Txz (real)
, Tyz (imag)
, …). It is not required to supply all components of the impedence tensor, but it is expected that each component contains a list of data channels of length and in the same order as the Channels
(one Data
per frequency).
The class method add_components_data can help users add data from nested dictionaries. Below is an example using four components:
[6]:
# Arbitrary data generator using sine functions
def data_fun(c, f):
return (c + 1.0) * (f + 1.0) * np.sin(f * np.pi * (x_loc * y_loc).ravel() / 400.0)
# Create a nested dictionary of component and frequency data.
data = {
component: {
f"{component}_{freq}": {"values": data_fun(cc, ff)}
for ff, freq in enumerate(receivers.channels)
}
for cc, component in enumerate(
[
"Txz (real)",
"Txz (imaginary)",
"Tyz (real)",
"Tyz (imaginary)",
]
)
}
receivers.add_components_data(data)
[6]:
[<geoh5py.groups.property_group.PropertyGroup at 0x7f7b846be080>,
<geoh5py.groups.property_group.PropertyGroup at 0x7f7b84503d30>,
<geoh5py.groups.property_group.PropertyGroup at 0x7f7b6087f580>,
<geoh5py.groups.property_group.PropertyGroup at 0x7f7b6087f070>]
Metadata are updated immediately to reflect the addition of components:
[7]:
receivers.metadata
[7]:
{'EM Dataset': {'Base stations': UUID('8e49083f-3248-4b74-9c11-857cf0bf0f09'),
'Channels': [30.0, 45.0, 90.0, 180.0, 360.0, 720.0],
'Input type': 'Rx and base stations',
'Property groups': ['Txz (real)',
'Txz (imaginary)',
'Tyz (real)',
'Tyz (imaginary)'],
'Receivers': UUID('ffbabed6-68e3-4084-9147-3b3c53d01d16'),
'Survey type': 'ZTEM',
'Unit': 'Hertz (Hz)'}}
Data channels associated with each component can be quickly accessed through the BaseEMSurvey.components property:
[8]:
receivers.components
[8]:
{'Txz (real)': [<geoh5py.data.float_data.FloatData at 0x7f7b84501c60>,
<geoh5py.data.float_data.FloatData at 0x7f7b6095ea70>,
<geoh5py.data.float_data.FloatData at 0x7f7b84503eb0>,
<geoh5py.data.float_data.FloatData at 0x7f7b84501e40>,
<geoh5py.data.float_data.FloatData at 0x7f7b84500880>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087f640>],
'Txz (imaginary)': [<geoh5py.data.float_data.FloatData at 0x7f7b6087e470>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087ff70>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087f0a0>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087fcd0>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087ff10>,
<geoh5py.data.float_data.FloatData at 0x7f7b6087fdf0>],
'Tyz (real)': [<geoh5py.data.float_data.FloatData at 0x7f7b6087f850>,
<geoh5py.data.float_data.FloatData at 0x7f7b604708b0>,
<geoh5py.data.float_data.FloatData at 0x7f7b60470820>,
<geoh5py.data.float_data.FloatData at 0x7f7b604709a0>,
<geoh5py.data.float_data.FloatData at 0x7f7b60470af0>,
<geoh5py.data.float_data.FloatData at 0x7f7b60470c10>],
'Tyz (imaginary)': [<geoh5py.data.float_data.FloatData at 0x7f7b60470e80>,
<geoh5py.data.float_data.FloatData at 0x7f7b60471900>,
<geoh5py.data.float_data.FloatData at 0x7f7b604718d0>,
<geoh5py.data.float_data.FloatData at 0x7f7b60471a50>,
<geoh5py.data.float_data.FloatData at 0x7f7b60471ba0>,
<geoh5py.data.float_data.FloatData at 0x7f7b60471cc0>]}
Receivers¶
Generic label used in the geoh5
standard for EM survey to identify the TipperReceivers entity.
Base stations¶
Generic label used in the geoh5
standard for EM survey to identify the TipperBaseStations entity.
Survey type¶
Label identifier for ZTEM
survey type.
Unit¶
Units for frequency sampling of the data: Hertz (Hz)
, KiloHertz (kHz)
, MegaHertz (MHz)
or Gigahertz (GHz)
.
[9]:
workspace.finalize()