Reservoir Characterization. Группа авторов

Чтение книги онлайн.

Читать онлайн книгу Reservoir Characterization - Группа авторов страница 30

Reservoir Characterization - Группа авторов

Скачать книгу

0.576 0.786 0.868 0.292

      Further we use Poisson’s ratio as a single anomaly characterization function and assign a single η1 value 1.

      In that case, anomalyIndicator takes the form:

      (3.13)image

      where significance cutoff = 0.8 and significance level α = 0.05.

      Hypothesis H0 is rejected if the probability to exceed the significance cutoff is smaller than a predefined significance level. Rejection of hypothesis H0 does not contradict the assumption that the detected anomaly is gas-filled sands. If hypothesis H0 is not rejected, then there is a contradiction between the results of the test and the assumption that the detected anomaly is gas-filled sands.

Schematic illustration of histograms of anomalyIndicator for three types of classifiers.
Number of records in the train set Expected false discovery rate (%) Percent of values of anomalyIndicator exceeding significance level (p-value)
Sparsity Distance Aggregated
25 20 0.2 3.7 0.01
20 20 2.1 16.2 0.04
15 20 14.5 36.4 0.1
12 20 28.7 47.4 0.8
10 20 42.5 47.5 1.7
7 20 69.2 56.5 6.7
5 20 77.3 60.4 9.9

Скачать книгу