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With massive amount of permutations possible when scheduling Oil & Gas PAD development, an automated optimizer is essential in order to identify the best development sequence. This repository allows to honour development hard constraints and assess performance of soft constraints.

License: MIT License

Jupyter Notebook 100.00%
energy oil gas unconventional drilling parent-child interaction optimizer automation genetic

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smart-pad-scheduler's Issues

run the notebook from top and see this error in SPATIAL REPRESENTATION section


AttributeError Traceback (most recent call last)
in
31 pad_entity = pad_entity.union(df_well.entity[n]) #Pad entity equalt union if subsequent
32 pad_index = df_pad[df_pad.id == df_well.pad_id[n]].index[0]
---> 33 df_pad.set_value(pad_index, 'entity', pad_entity) #df_pad is updated with latest entity
34
35 #Add len_tot, stage_tot and water_tot to df_pad

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