Hello.
Please look at RESULTS.zip file. I am trying '06.Rates_calculation' tutorial file.
zip file size is too small and is most probably empty.
Thanks.

Greetings,

Thanks for sharing this work!

I went through the tutorials but got stuck in the calculation of the statistics for the FieldDataset in Tutorial #8 (Dataset and Sample). The cell, and error message obtained are pasted below.

I should mention that the STATES shape from the previous cell yields a dimension of: [1, 248, 5, 46, 112, 22]. Is this what you expect?

Any comments on how to fix this will be much appreciated.

Thanks,
Femi

dataset = FieldDataset(src=field, sample_attrs=sample_attrs, allow_change_preloaded=True)
dataset.calculate_statistics()
sample = next(iter(dataset))

IndexError Traceback (most recent call last)
Input In [15], in <cell line: 2>()
1 dataset = FieldDataset(src=field, sample_attrs=sample_attrs, allow_change_preloaded=True)
----> 2 dataset.calculate_statistics()
3 sample = next(iter(dataset))

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/datasets/datasets.py:610, in FieldDataset.calculate_statistics(self)
607 maxim[comp] = {attr: [] for attr in self.sample_attrs[comp]}
609 for i in range(len(self)):
--> 610 m, m_sq, mn, mx = self._get_model_statistics(i)
611 for comp in m:#pylint:disable=consider-using-dict-items
612 for attr in m[comp]:

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/datasets/datasets.py:635, in FieldDataset._get_model_statistics(self, idx)
633 def _get_model_statistics(self, idx):
634 """Get mean and mean of squares for the attributes of the model."""
--> 635 sample = self._get_sample(idx)
636 mean, mean_of_squares, minim, maxim = {}, {}, {}, {}
637 for comp in sample.keys():

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/datasets/datasets.py:180, in FieldDataset._get_sample(self, idx)
178 if isinstance(self.preloaded[idx], FieldSample):
179 return self.preloaded[idx]
--> 180 model = self._get_preloaded(idx)
182 sample = {}
183 getter_kwargs = dict(
184 sequence_subset=sequence_subset, fill_invalid_neighbours=INVALID_VALUE_FILLER, neighbouring_radius=1
185 )

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/datasets/datasets.py:236, in FieldDataset._get_preloaded(self, idx)
234 model.wells.drop_outside()
235 if model.meta['MODEL_TYPE'] == 'ECL':
--> 236 model.wells.compute_events(grid=model.grid)
237 else:
238 assert model.state.spatial == self.unravel_model

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/field/decorators.py:225, in instance_check..decorator..wrapper(self, *args, **kwargs)
222 if not valid(self):
223 raise ValueError('State of {} is not valid for applying {}.'
224 .format(self.class.name, method.name))
--> 225 return method(self, *args, **kwargs)

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/field/decorators.py:120, in apply_to_each_segment..decorator(self, *args, **kwargs)
118 if not include_groups and segment.is_group:
119 continue
--> 120 res.append(method(self, segment, *args, **kwargs))
121 if isinstance(res[0], self.class):
122 return self

File ~/anaconda3/envs/py3p8/lib/python3.8/site-packages/DeepField-0.1.0-py3.8.egg/deepfield/field/wells.py:521, in Wells.compute_events(self, segment, grid, attr)
519 wcon = wcon.sort_values('DATE').reset_index(drop=True)
520 df['DATE'] = wcon['DATE']
--> 521 dref_index = np.argmin(segment.perforated_blocks()[:, 2])
522 dref_index = segment.perforated_blocks()[:, :3][dref_index]
523 df['DREF'] = grid.cell_centroids[dref_index[0], dref_index[1], dref_index[2]][2]

IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed