PATENT CLAIM ANALYSIS

Application Number: 15989861
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["703", "002000"]

Abstract:
Disclosed is a method for simulation of a microscopic flow of pre-crosslinked gel suspension liquid in a porous medium, including the steps of: establishing a simulation area of the porous medium based on a two-dimensional core CT slice image and subjecting the simulation area to numerical grid discretization; setting initial position and original shape of pre-crosslinked gel particles to generate virtual boundary mark points; marking the type of numeric grid nodes; calculating the force of the fluid on each virtual boundary mark point according to the momentum change of the numerical grid nodes on the boundary of the pre-crosslinked gel particles; calculating the contact force on each virtual boundary mark point using a particle contact action model; calculating the bending recovery force and the stretching recovery force for each virtual boundary mark point based on the current shape and original shape of the pre-crosslinked gel particles; and calculating the velocity and displacement of each virtual boundary mark point based on Newton's second law, wherein the respective virtual boundary mark points are connected to obtain the overall shape and position of the pre-crosslinked gel particles.

Claim (Index 1):
A method for simulation of a microscopic flow of pre-crosslinked gel suspension liquid in a porous medium, the pre-crosslinked gel suspension liquid containing one or more pre-crosslinked gel particles, the method comprises the steps of:\n (1) establishing a simulation area of the porous medium based on a two-dimensional core CT slice image and subjecting the simulation area to numerical grid discretization; (2) setting initial position and original shape of each of the one or more pre-crosslinked gel particles to generate virtual boundary mark points of the each of the one or more pre-crosslinked gel particles; (3) marking type for numeric grid nodes in the simulation area subjected to the numerical grid discretization, the type including intra-particle node, particle boundary node, intra-fluid node, and fluid boundary node; (4) calculating a force F f  of fluid on each of the virtual boundary mark points according to momentum change of particle boundary nodes within a control range of the each virtual boundary mark point; (5) calculating a contact force F p  on each of the virtual boundary mark points using a particle contact action model; (6) calculating a bending recovery force F b  and a stretching recovery force F s  for each of the virtual boundary mark points; (7) calculating a velocity u and a displacement x of each of the virtual boundary mark point based on Newton's second law, the force F f , the contact force F p , the bending recovery force F b  and the stretching recovery force F s  of the each virtual boundary mark point, simulating movement of the each virtual boundary mark point according the velocity u and the displacement x thereof, and connecting respective virtual boundary mark points of the each of the one or more pre-crosslinked gel particles to obtain an overall shape and position of the each of the one or more pre-crosslinked gel particles as a simulation result; and (8) repeating the step (4) to the step (7) until a relative error of the last two simulation results is less than 0.01 or the number of iterations is greater than 100,000, and outputting the last simulation result.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 93.0
- Lexical Diversity: 2.37805
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10540861', '13084447', '11398982', '11318171', '11416642']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2212078661622301
- 35 USC 102 Novelty (BERT): 0.4984852110570418
- Combined Prediction Score: 0.2489356006517112
- Mean Citation Score: 155.63559800000004
- Max Citation Score: 164.71815
- Similarity Product: 106.31634746105075

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test