Aspects of a method for mapping a perforation tunnel and crush zone of a perforated core sample. The method may include scanning a perforated core sample having a perforation tunnel containing a permeability-impairing material with a first computerized tomography (CT) scanning apparatus to produce a first 3D model of the perforation tunnel. The method may further include forming a cleared perforation tunnel by removing at least a portion of the permeability-impairing material from within the perforation tunnel without splitting the core sample at the perforation tunnel, and scanning the perforated core sample having the cleared perforation tunnel with a second computerized tomography (CT) scanning apparatus to produce a second 3D model of the cleared perforation tunnel. The method may compare the first 3D model and the second 3D model to obtain a 3D mapping of the perforation tunnel or a crush zone.

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.

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.

The present invention relates to a method for providing a numerical model of a sample of rock that, when used for flow simulations, it reproduces the porosity and the permeability according to the measurements taken in said sample of the rock. The method is characterized in that the structure and the properties of the numerical model are populated randomly ensuring that the global behavior reproduces the measurements.

The present invention provides a method for measuring a distribution of pores in an electrode for a secondary battery, which can easily measure a distribution of pores inside the electrode for a secondary battery.

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.

Embodiments of a method of pore type classification for petrophysical rock typing are disclosed herein. In general, embodiments of the method utilize parameterization of MICP data and/or other petrophysical data for pore type classification. Furthermore, embodiments of the method involve extrapolating, predicting, or propagating the pore type classification to the well log domain. The methods described here are unique in that: they describe the process from sample selection through log-scale prediction; PTGs are defined independently of the original depositional geology; parameters which describe the whole MICP curve shape can be utilized; and objective clustering can be used to remove subjective decisions. In addition, the method exploits the link between MICP data and the petrophysical characteristics of rock samples to derive self-consistent predictions of PTG, porosity, permeability and water saturation.

The present invention relates to a method for providing a numerical model of a sample of rock that, when used for flow simulations, it reproduces the porosity and the permeability according to the measurements taken in said sample of the rock. The method is characterized in that the structure and the properties of the numerical model are populated randomly ensuring that the global behavior reproduces the measurements.

A computer-implemented method for deriving properties of a porous material, the method includes: a first stage including: obtaining a first image of the porous material on a first scale; extracting a first network of pores from the first image; and deriving a first set of properties of the porous material using a first network flow modeling based on the first network; and a second stage including: obtaining a second image of the porous material on a second scale larger than the first scale; extracting a second network of pores from the second image; and deriving a second set of properties of the porous material using a second network flow modeling based on the second network and the first set of properties.

The present invention provides a method for measuring a distribution of pores in an electrode for a secondary battery, which can easily measure a distribution of pores inside the electrode for a secondary battery.