Capillary pressure curve classification method
A capillary pressure curve and classification method technology, applied in the field of capillary pressure curve classification, can solve the problems of not considering the similarity of the curve, except for the accuracy, speed and flexibility of the classification of the capillary pressure curve, so as to achieve maximum flexibility and ensure similarity effect
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Embodiment 1
[0030] A method for classifying capillary pressure curves. First, the capillary pressure curve is fitted to determine the number of pore systems N and the displacement pressure P reflected by the capillary pressure curve. d , and according to P d sort the curves; then compare the similarity of any two curves to ensure that the two curves have the same N value, and calculate the absolute value of the saturation difference corresponding to the two capillary pressure curves one by one, if all points If the saturation difference values of the two curves are both smaller than the allowable error, the two curves are classified into the same category.
[0031] In the method, all the original capillary pressure curves are fitted one by one by formula (1), and the number of pore systems N and the displacement pressure P reflected by each curve are determined. d ;
[0032] (1)
[0033] In the formula:
[0034] P c — mercury injection pressure (bar or Mpa);
[0035] S w —wate...
Embodiment 2
[0046] The capillary pressure curve is the curve of fluid saturation (wetting phase or non-wetting phase) changing with pressure, which is closely related to the pore structure characteristics of rocks. For two similar capillary pressure curves, under the same pressure conditions, the fluid saturations corresponding to the two curves should be very similar. If the fluid saturation differs greatly, it means that the two curves are not similar and reflect different pore structures. feature. The method for automatically classifying capillary pressure curves proposed by the present invention allows each curve to be compared with all other curves for a similarity through a double iterative cycle method, and ensures that curves of the same type have the same N value. After the automatic classification is completed, each curve has a category attribute value (GP) assigned an integer, and the same attribute value belongs to the same category.
[0047] Based on this principle, the auto...
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