Experimental Variography Analysis🍋
variogram(object, attribute, region, geographic_azimuth, dip, pitch, lags, tol, atol=45.0, slice_width=None, slice_height=None, weights_attribute=None, backend=GeostatsBackend.JULIA)
🍋
Given boundary input arguments (lag and its associated tolerance, angular reference and its associated tolerance), compute the variogram for a set of points (value associated with cartesian coordinates for a specific point)
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
object
|
GeoRefObject
|
Geo-ref Object. |
required |
attribute
|
str
|
Object attribute to compute variography on. |
required |
region
|
Optional[str]
|
Object region or condition to select data from. |
required |
geographic_azimuth
|
float
|
Azimuth angle, in degrees, comprised between 0 and 360. |
required |
dip
|
float
|
Dip angle, in degrees, comprised between 0 and 90. |
required |
pitch
|
float
|
Pitch angle, in degrees, comprised between -90 and 90. |
required |
lags
|
Vector
|
List of lags (in the same unit as the object, e.g. meters). |
required |
tol
|
Union[float, Vector]
|
Lag tolerance (in the same unit as the object, e.g. meters). Tolerance can be a Vector of tolerances or a single value used for each lag. |
required |
atol
|
float
|
Angular tolerance in degrees. |
45.0
|
slice_width
|
Optional[float]
|
Slicing width (in the same unit as the object, e.g. meters). |
None
|
slice_height
|
Optional[float]
|
Slicing height (in the same unit as the object, e.g. meters). |
None
|
weights_attribute
|
Optional[str]
|
Weights attribute for ponderation, generally coming from declustering. |
None
|
backend
|
GeostatsBackend
|
Computational backend used, for large number of lags, setting to JULIA will lead to faster results. |
JULIA
|
Returns:
| Type | Description |
|---|---|
DataFrame
|
A variogram dataframe, Isatis compliant output (rank, number of pairs, input lag, average distance, variogram value and indices) |
variogram_downhole(object, attribute, region, lags, tol)
🍋
Given boundary input arguments (lag and its associated tolerance), compute the downhole variogram for a set of holes (values associated with holeid for a specific point) in a given region.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
object
|
GeoRefObject
|
Geo-ref Object. |
required |
attribute
|
str
|
Object attribute to compute variography on. |
required |
region
|
Optional[str]
|
Object region or condition to select data from. |
required |
lags
|
Vector
|
List of lags (in the same unit as the object, e.g. meters). |
required |
tol
|
float
|
Lag tolerance (in the same unit as the object, e.g. meters). Tolerance can be a Vector of tolerances or a single value used for each lag. |
required |
Returns:
| Type | Description |
|---|---|
|
A variogram dataframe, Isatis compliant output (rank, number of pairs, input lag, average distance, variogram value and indices) |
generate_lags(lag, plag, nlags)
🍋
Generate lags array to be used with variogram
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
lag
|
float
|
Calculation lag |
required |
plag
|
float
|
Tolerance (percentage of lag) |
required |
nlags
|
int
|
Length of array to be generated |
required |
Returns:
| Type | Description |
|---|---|
Tuple[ndarray, float]
|
An array of lags and the tolerance. |
generate_lags_from_interval(lag_intervals)
🍋
Generate lags array to be used with variogram.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
lag_intervals
|
Vector
|
Boundary of each lag interval. |
required |
Raises:
| Type | Description |
|---|---|
ValueError
|
Intervals are not defined by 2 values (min and max). |
Returns:
| Type | Description |
|---|---|
Tuple[ndarray, ndarray]
|
An array of lags and the tolerance. |