源自二维图像的材料性质分析的方法、系统和可读介质
By segmenting and numerically simulating the digital image volume of rock samples and utilizing fractional bounce parameter (FBP) values, the time and cost issues of rock property estimation in existing technologies are addressed, the simulation efficiency of shale reservoir fluid flow is improved, and hydrocarbon production is optimized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BP CORP NORTH AMERICA INC
- Filing Date
- 2021-05-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies require lengthy and costly laboratory tests to estimate the rock physical properties of strata, and existing direct numerical simulation methods cannot effectively simulate the impact of the heterogeneity and nano- and micro-scale structures of shale reservoirs on fluid flow.
By segmenting the digital image volume of rock samples, voxels are correlated with rock texture, material properties are determined using image processing, and numerical simulations are performed using fractional bounce parameter (FBP) values. Direct numerical simulations are then performed using a combination of computing and imaging devices.
It enables rapid and economical estimation of properties such as porosity and permeability of rock samples, improves the understanding of fluid flow in shale reservoirs, and optimizes hydrocarbon production strategies.
Smart Images
Figure CN115552461B_ABST