Disclosed is method of determining one or more unit cells of a poly-crystalline sample and indexing a set DV of 3D diffraction vectors . The method comprising obtaining a plurality of candidate first lattice plane normal vectors and a plurality of candidate second lattice plane normal vectors for a particular unknown grain; using said plurality of candidate first lattice plane normal vectors and said plurality of candidate second lattice plane normal vectors to select a plurality of subsets SSDV_n of the set DV of 3D diffraction vectors and processing said plurality of subsets SSDV_n of 3D diffraction vectors to determine a primary candidate unit cell PCUC defined by three lattice vectors; wherein the primary candidate unit cell PCUC is validated by evaluating the fit of the PCUC with the full set DV of 3D diffraction vectors.

The invention relates to a method for mapping the crystal orientations of a polycrystalline material, the method comprising: receiving (21) a series of images of the polycrystalline material, which images are acquired by an acquiring device in respective irradiation geometries; estimating (22) at least one intensity profile for at least one point of the material from the series of images, each intensity profile representing the intensity associated with the point in question as a function of irradiation geometry; and determining (24) a crystal orientation for each point in question of the material by comparing (23) the intensity profile associated with said point in question to theoretical signatures of intensity profiles of known crystal orientations, which signatures are contained in a database.

The invention relates to method and system configured for material analysis and mineralogy. At least one image based on first emission from a sample is provided. First spectra of the sample based on second emissions from the second scan locations of the image are provided. A confidence score is calculated for every first spectrum, and second scan location(s) with confidence score(s) below a threshold value are selected. Second emissions from the selected second scan location(s) are acquired to provide new image and determine new second scan locations within the respective new image.

A system may obtain a plurality of experimental diffraction patterns. A system may identify a crystallographic orientation of each diffraction pattern of the plurality of experimental diffraction patterns. A system may build one or more pole figures. A system may select a reference spherical function having a reference frame. A system may correlate spherical images from the pole figures and the reference spherical function. A system may determine a sample frame of the crystallographic orientations. A system may rotate the crystallographic orientations of the plurality of experimental diffraction patterns into alignment with the reference frame to produce a plurality of rotated crystallographic orientations.

Systems and methods are disclosed relating to reservoir characterization. A computed tomography (CT) imaging device is used to generate a CT image of a rock sample from a reservoir and segmented into CT slices. The CT slices are processed to identify textures of the rock sample to provide texture data. The rock sample is scanned using nuclear magnetic resonance (NMR) to provide NMR data. The NMR data is segmented to provide NMR segments. The NMR segments and texture data are analyzed to determine a contribution of each texture in each CT slice to one or more relaxation times in a corresponding NMR segment for each CT slice. A petrophysical property is predicted for each texture of each CT slice based on a contribution of each texture and the corresponding NMR segment for each CT slice. A petrophysical model for the reservoir is generated based on the predicted petrophysical property.

A method and system for three dimensional crystallographic grain orientation mapping for objects. In different examples, subbeams are used that interact with the object at different angles. Other options include rocking the object at different angles during a raster scan. Multiple scans can be performed including raster scanning and directed analysis. In addition, different apertures can be employed. In examples, a dispersive spectroscopy (EDS) detector is added to analysis the energy of the diffracted photons.