Provided is an evaluation method that can easily evaluate the percentage of voids in a rubber material. The present disclosure relates to an evaluation method including evaluating the percentage of voids in a rubber material with a strain applied thereto based on the φ.sub.void calculated from the following Equation (1) using the transmittance and thickness of the rubber material with no strain applied thereto and the transmittance and thickness of the rubber material with the strain applied thereto.

[00001]$\begin{array}{cc}{\varnothing }_{\mathrm{void}}=1-p_s/p_0=1-ln\left(\frac{I_s}{I_0}\right)/ln\left(\frac{I}{I_0}\right)\times \left(t_0/t_s\right)& \left(1\right)\end{array}$

The present invention provides a method for estimating hydrocarbon saturation of a hydrocarbon-bearing rock from a measurement for an electrical property a resistivity log and a rock image. The image is segmented to represent either a pore space or solid material in the rock. An image porosity is estimated from the segmented image, and a corrected porosity is determined to account for the sub-resolution porosity missing in the image of the rock. A corrected saturation exponent of the rock is determined from the image porosity and the corrected porosity and is used to estimate the hydrocarbon saturation. A backpropagation-enabled trained model can be used to segment the image. A backpropagation-enabled method can be used to estimate the hydrocarbon saturation using an image selected from a series of 2D projection images, 3D reconstructed images and combinations thereof.

Method of identifying a valid flow path includes: performing fluid analysis of a porous body, which is ought to have inflow surface and outflow surface, based on structure data representing a 3-dimentional structure of the porous body to generate data indicating at least a pressure distribution of a fluid in a flow path in the porous body; and identifying a valid flow path that allows the fluid to flow from the inflow surface to the outflow surface based on a gradient of pressure values along a flow direction of the fluid in the flow path.

There is provided a system and process to predict the petrophysical properties of unclean rock samples using Medical-CT scanned three-dimensional (3D) images at both low and high resolutions. The captured 3D images are passed through machine learning, statistical methods and data lookups to identify the petrophysical properties of rock samples. Also disclosed is the process of measuring phase saturations of a clean rock sample or porous medium using Micro-CT scanned three-dimensional (3D) images.

A visualization system and method for a multiphase fluids displacement seepage experiment with large viscosity difference in a complex pore structure. The visualization system includes: an injection pump assembly, a visualized complex pore model, a vacuum pressure pump and an image acquisition device; the system and method are printed by a 3D printing device to form the visualized complex pore model with at least two permeability, and displacement fluid mediums of different viscosities are injected into the visualized complex pore model through different injection pumps during an experiment, so that not only is the penetration of the same viscosity in the complex pore structure with different permeability observed, but also the displacement and plugging effect of different viscosities successively entering the complex pore structure with different permeability is realized.

A visualization system and method for a multiphase fluids displacement seepage experiment with large viscosity difference in a complex pore structure. The visualization system includes: an injection pump assembly, a visualized complex pore model, a vacuum pressure pump and an image acquisition device; the system and method are printed by a 3D printing device to form the visualized complex pore model with at least two permeability, and displacement fluid mediums of different viscosities are injected into the visualized complex pore model through different injection pumps during an experiment, so that not only is the penetration of the same viscosity in the complex pore structure with different permeability observed, but also the displacement and plugging effect of different viscosities successively entering the complex pore structure with different permeability is realized.

The present invention provides a method for determining the porosity of rock from a digital image of the rock. A three-dimensional image of a rock is obtained and segmented, and an image porosity is determined from the segmented image of the rock. A porosity correction parameter is obtained from a non-wetting liquid capillary pressure curve derived from the segmented image, and the porosity correction parameter is applied to the image porosity to obtain a corrected porosity of the rock.

Provided is a scattering measurement analysis method including obtaining a theoretical scattering intensity from a structural model that contains a lot of scatterers, wherein the obtaining of a theoretical scattering intensity includes obtaining a contribution to the theoretical scattering intensity of a pair of a scatterer “m” and a scatterer “n” existing at a distance “r” from the scatterer “m” among a plurality of scatterers by at least one of calculations in accordance with the distance “r”, the calculations including a first calculation of calculating contributions of the scatterer “m” and the scatterer “n” from respective scattering factors f.sub.m(q) and f.sub.n*(q) and a center-to-center distance r.sub.mn between the scatterer “m” and the scatterer “n”, and a second calculation of substituting the scattering factor f.sub.n*(q) of the scatterer “n” by a first representative value and substituting a probability density function of the number of scatterers existing at the distance “r” by a constant value.

A method and apparatus for identifying porosity in a structure made by an additive manufacturing process in which a laser is scanned across layers of material to form the structure. Pyrometry data comprising images of the layers acquired during additive manufacturing of the structure is received. The pyrometry data is used to generate temperature data comprising estimated temperatures of points in the layers in the images of the layers. The temperature data is used to identify shapes fit to high temperature areas in the images of the layers. Conditions of the shapes fit to the high temperature areas in the images of the layers are identified. Outlier shapes are identified in the shapes fit to the high temperature areas in the images of the layers using the conditions of the shapes.

A combination of scanning electron microscope data and pyrolysis data are used to correct for solid organic matter-containing pores in a source rock sample. The methods can yield corrected sample porosity estimates and/or kerogen content estimates.