Desurveying

desurveying(collar, assay, survey, method=DesurveyingMethod.MINIMUM_CURVATURE, dip_convention=DipDownward.POSITIVE, name_dictionary={})

Desurvey a drillholes sets of data given collars, assays and survey DataFrames.

Parameters:

Name	Type	Description	Default
collar	pd.DataFrame	DataFrame of collar file.	required
assay	pd.DataFrame	Assay DataFrame.	required
survey	pd.DataFrame	Survey DataFrame.	required
method	DesurveyingMethod	Desurveying method.	DesurveyingMethod.MINIMUM_CURVATURE
dip_convention	DipDownward	Convention of downward dip angle sign.	DipDownward.POSITIVE
name_dictionary	Dict[str, str]	Correspondence table mapping names to attributes.	{}

Returns:

Type	Description
pd.DataFrame	Desurveyed merged dataframe.

linear_desurveying(collar, survey, assay, dip_convention=DipDownward.NEGATIVE, name_dictionary={})

Take assay and collar dataframes TO compute true location of points in the drillhole.

Parameters:

Name	Type	Description	Default
collar	pd.DataFrame	DataFrame of collar file.	required
survey	pd.DataFrame	Survey DataFrame.	required
assay	pd.DataFrame	Assay DataFrame.	required
dip_convention	DipDownward	Convention of downward dip angle sign.	DipDownward.NEGATIVE
name_dictionary	Dict[str, str]	Correspondence table mapping names to attributes.	{}

Returns:

Type	Description
pd.DataFrame	Dataframe containing new columns with true locations of start-, mid- and end-point.

Note

Function only works for linear drill-hole : does not work for deviated drillholes.

Formula

• $x = x_0 + depth \times sin(AZIMUTH) \times cos(DIP)$
• $y = y_0 + depth \times cos(AZIMUTH) \times cos(DIP)$
• $z = z_0 + depth \times sin(DIP)$