geometry¶

geometry.MD_to_TVD(well, depth)[source]¶

It returns the coordinates X,Y and Z at a desired depth.

Parameters

well (str) – Selected well
depth (float) – Measure depth at which the X,Y,Z coordinate is needed

Returns

float – x_V : x position of desire point
float – y_V : y position of desire point
float – z_V : z position of desire point

Attention

The input information comes from the files input/ubication.csv and input/survey/{well}_MD.dat.

Note

A linear regression is used.

Examples

>>> MD_to_TVD('WELL-1',500)

geometry.MD_to_TVD_one_var_array(well, var_array, MD_array)[source]¶

It returns the position X, Y and Z for every point on a log along Pressure or Temperature.

Parameters

well (str) – Selected well
var_array (array) – It contains the log of pressure or temperature
MD_array (array) – It contains the measure depth values corresponding with every point on var_array

Returns

float – x_V : x position of desire point
float – y_V : y position of desire point
float – z_V : z position of desire point
array – v_V : contains the values of pressure or temperature for every coordinate

Attention

The input information comes from the files input/ubication.csv and input/survey/{well}_MD.dat.

Note

A linear regression is used.

Examples

>>> MD_to_TVD_one_var_array('WELL-1',data['Temp'],data['MD'],100)

geometry.PT_natural_to_GIS(input_dictionary)[source]¶

It generates a shapefile containing pressure and temperature real data from every well at every layer elevation

Parameters: input_dictionary (dictionary) – Contains the infomation of the layer under the keyword ‘LAYER’ and ‘z_ref’.
Returns: layer_{corr}_masl_{masl}.shp: on ../input/PT/GIS/
Return type: file

Note

The primary data comes from the defined formation data

Examples

>>> PT_natural_to_GIS(input_dictionary)

geometry.PT_real_to_json(input_dictionary)[source]¶

It writes a json file based on the formation data (pressure and temperature) at the level of the defined mesh layers.

Parameters: input_dictionary (dictionary) – Contains the infomation of the layer under the keyword ‘LAYER’ and ‘z_ref’.
Returns: PT_real_json: en direccion ../input/PT/PT_real_json.txt
Return type: file

Examples

>>> PT_real_to_json(input_dictionary)

geometry.P_from_T_TVD(T_array, TVD_array, water_level_TVD, Pmin)[source]¶

It generates a pressure log based on real temperature measurements and a hydrostatic level

Parameters

T_array (array) – Temperature values
TVD_array (array) – TVD values associate with every temperature record
water_level_TVD (float) – Hydrostatic level on TVD value

Returns

P: pressure values

Return type

array

Examples

>>> P_from_T_TVD(T_array,TVD_array,water_level_TVD,Pmin)

geometry.TVD_to_MD(well, TVD)[source]¶

It returns the measured depth position for a well based on a true vertical depth

Parameters

well (str) – Selected well
TVD (float) – Desire true vertical depth

Returns

MD : measure depth

Return type

float

Attention

The input information comes from the files input/ubication.csv and input/survey/{well}_MD.dat.

Note

A linear regression is used.

Examples

>>> TVD_to_MD('WELL-1',-100)

geometry.TVD_to_MD_array(well, TVD_array)[source]¶

It returns the measure depths for a desire list of true vertical depth values

Parameters

well (str) – Selected well
TVD_array (list) – List of true vertical depth values

Returns

MD : list of measure depth values

Return type

array

Attention

The input information comes from the files input/ubication.csv and input/survey/{well}_MD.dat.

Note

A linear regression is used.

Examples

>>>TVD_to_MD_array(‘WELL-1,data[‘TVD’])

geometry.feedzone_to_GIS(input_dictionary)[source]¶

It writes a shapefile (point type) from the wells feedzones position

Parameters: input_dictionary (dictionary) – Dictionary contaning the path and name of database on keyword ‘db_path’.
Returns: well_survey: on the path ../mesh/GIS
Return type: file

Examples

>>> feedzone_to_GIS(input_dictionary)

geometry.iter_TVD(input_dictionary, well)[source]¶

geometry.line_intersect(Ax1, Ay1, Ax2, Ay2, Bx1, By1, Bx2, By2)[source]¶

Finds the intersection point between two lines

Parameters: {letter}{position}{corr} (float) – Identifies the point A or B, the position (x or y ) and the correlative (1 or 2)
Returns: (x,y), if there is no intersection, None value is returned
Return type: tuple

geometry.remap(data)[source]¶

It returns an array with the number of values as the reference pressure array

Parameters: data (dict) – Contains ‘MD_P’,’P’ and ‘MD_T’ at least. The depths values for P are found base on the depths of MD_T
Returns: data : with ‘remap_P’ cointaning the values of P for the depths listed at MD_T
Return type: dict

geometry.survey_to_GIS(input_dictionary)[source]¶

It writes a shapefile (line type) from the wells surveys

Parameters: input_dictionary (dictionary) – Dictionary contaning the path and name of database on keyword ‘db_path’.
Returns: well_survey: on the path ../mesh/GIS
Return type: file

Examples

>>> survey_to_GIS(input_dictionary)

geometry.vertical_layers(input_dictionary)[source]¶

It returns the layers information on a dictionary

Returns: input_dictionary – Contains the infomation of the layer under the keyword ‘LAYER’ and ‘z_ref’.
Return type: dictionary
Returns: layers_info: dictionary with keywords; name, top, middle and bottom. The last three are float values
Return type: dictionary

geometry.write_feedzone_from_dict(wells)[source]¶

It generates a file on csv format containing the well feedzone position and coordinates from a python dictionary with well information

Parameters: wells (dictionary) – Contains the wells names, feedzone and contribution
Returns: well_feedzone: on ../input
Return type: file

Note

regeo_mesh uses this file as an input

Examples

>>> wells={'TR-1':{type_w':'OBS','feedzones':{'A':{'MD':600,'contribution':1}}}},
>>> write_feedzone_position_from_dict(wells)

geometry.write_feedzone_position(input_dictionary)[source]¶

It generates a file on csv format containing the well feedzone position and coordinates.

Parameters: input_dictionary (dictionary) – Contains the path of the input files under the keyword ‘sources_txt’
Returns: well_feezone_xyz: on ../input
Return type: file

Note

regeo_mesh uses this file as an input

Examples

>>> write_feedzone_position(source_txt='../input/')

geometry.write_feedzone_position_from_dict(wells)[source]¶

It generates a file on csv format containing the well feedzone position and coordinates from a python dictionary with well information

Parameters: wells (dictionary) – Contains the wells names, feedzone and contribution
Returns: well_feedzone_xyz: on ../input
Return type: file

Note

regeo_mesh uses this file as an input

Examples

>>> wells={'TR-1':{type_w':'OBS','feedzones':{'A':{'MD':600,'contribution':1}}}},
>>> write_feedzone_position_from_dict(wells)

geometry.write_well_track(input_dictionary)[source]¶

It converts every specified well survey using measure depth on true vertical depth survey

Parameters: input_dictionary (dictionary) – Contains list of wells under the keywords ‘WELLS’, ‘MAKE_UP_WELLS’ and ‘NOT_PRODUCING_WELL’. It also needs to contain the input files path.
Returns: {pozo}_xyz.csv: on ../input/survey/xyz
Return type: file

Examples

>>> write_well_track(input_dictionary)