38 results about "Scale sliding" patented technology

The invention provides a stratum mobility simulating device. The stratum mobility simulating device comprises a constant speed and constant pressure pump, an intermediate container, a high temperature and high pressure sample allocation device and a model mechanism, wherein one end of the intermediate container is connected with the constant speed and constant pressure pump, one end of the high temperature and high pressure sample allocation device is provided with an air infusion port, the other end of the high temperature and high pressure sample allocation device is connected with the constant speed and constant pressure pump, the model mechanism comprises a flowing section, a capillary tube section and a phase volume fraction tester, the flowing section is provided with a mold section, the mold section comprises a fixed clamping groove and a movable clamping groove, the movable clamping groove can be movably arranged in a scale sliding groove, flat panel grooves are formed in the scale sliding groove, a convection current channel is formed between the fixed clamping groove and the movable clamping groove, the two ends of the convection current channel are the inlet end and the outlet end, the inlet end is connected with the other end of the intermediate container and the end, where the air infusion port is formed, of the high temperature and high pressure sample allocation device, and the outlet end is sequentially connected with the capillary tube section and the phase volume fraction tester. The stratum mobility simulating device is capable of simulating fissures of different opening degrees and stratums with different roughness and the flowing of single-phase fluid or multi-phase fluid in the stratums at different flowing speed, through the arrangement of a corestone, the conditions of the stratums can be simulated in a more realistic mode, the data are accurate, and the application range is wide.

The invention discloses a method for dividing a level set image based on characteristics of a neighborhood probability density function, which mainly solves the problem existing in the prior method that the variability of texture elements of a natural image in texture scale and texture direction cannot be effectively processed. The method comprises the following steps of: initializing a level setfunction; setting an initial value and a maximum value for the iteration number of the level set function; working out a characteristic set of the neighborhood probability density function; working out characteristics of a subset probability density function; working out a similarity vector; according to an evolution equation of the level set, updating the level set function; judging whether to enter a cycle, if so, working out the characteristics of the subset probability density function, the similarity vector and the level set function again; otherwise stopping the cycle, and using a zero level set of the level set function as a segmentation border of an input image. Because the texture elements of the natural image are fit by a multi-scale sliding window, the variability of the textureelements in texture scale and texture direction can be better processed, so that the method can be applied to the segmentation of the natural texture image.