A method for assessing the mass concentration of uranium in a sample of uranium-bearing material by gamma spectrometry, includes a) acquiring (200) an energy spectrum of gamma radiation from the sample using a scintillator detector, the energy spectrum (100) comprising at least a first energy band (110) between 87 keV and 110 keV, and a second energy band (120) between 560 keV and 660 keV, the second energy band comprising at least one energy line (130) at 609 keV from .sup.214Bi, b) calculating (210) an initial mass concentration of uranium (Cm.sub.U0) using the energy spectrum, c) measuring (220) a parameter representative of the height of the sample and a parameter representative of the density of the sample, d) calculating (230) a corrective coefficient (K), and e) calculating (240) a corrected mass concentration of uranium (Cm.sub.U) using the initial mass concentration of uranium (Cm.sub.U0) and the corrective coefficient (K).

A system and method for X-ray computed tomography includes a robotic arm that moves an X-ray emitter around a subject in a curvilinear path and an X-ray detector that captures 2-dimensional views while the subject is scanned. Movements of the emitter and detector are coordinated such that the position and angle of the emitter relative to the detector remains substantially constant during scanning. A processor uses computed tomography to reconstruct an image of the subject from the captured 2-dimensional views. The robotic arm varies the pitch of the X-ray emitter during the scan to enhance the spatial resolution of the reconstructed image. The processor generates a projection transformation matrix based on movement of the robotic arm for each captured 2-dimensional view that is applied during reconstruction.

A collector device for determining a metal in an exploration sample containing a concentration of the metal not directly detectable by X-ray fluorescence (XRF), comprises an adsorbent material capable of concentrating metal from a digestion mixture produced by digesting the exploration sample, which is configured for association with an analysis window of the XRF detector to facilitate determination of the amount of metal value in the exploration sample. A sample preparation vessel, method and system used to prepare exploration samples for analysis includes a vessel for receiving the exploration sample, a digestion tablet and a digestion medium; a closure to allow the vessel to be agitated to produce a digestion mixture comprising dissolved metal and the collector device. The closure and the collector device are coupled so that collector device is retrieved from the vessel by removing the closure. The digestion tablet includes a metal lixiviate and an alkali compound.

A method for obtaining a conversion relationship between dynamic and static elastic parameters includes: Step S1, acquiring horizontal cores at different depths of the destination formation; Step S2, measuring the dynamic elastic parameters of the horizontal core under different pressures; Step S3, measuring the static elastic parameters of the horizontal core under different pressures; Step S4, measuring the clay content of the horizontal core; Step S5 establishing a function relationship of the ratio between the dynamic and static elastic parameters with the formation pressure and clay content; and completing the conversion between the dynamic and static elastic parameters. The technical solution provided by the present invention takes full account of the influence of the formation stress and the clay content on the conversion rule of dynamic and static elastic parameters and is of great significance for improving the logging evaluation accuracy of rock mechanical parameters.

A method for analyzing a rock sample includes segmenting a digital image volume corresponding to an image of the rock sample, to associate voxels in the digital image volume with a plurality of rock fabrics of the rock sample. The method also includes identifying a set of digital planes through the digital image volume. The set of digital planes intersects with each of the plurality of rock fabrics. The method further includes machining the rock sample to expose physical faces that correspond to the identified digital planes, performing scanning electron microscope (SEM) imaging of the physical faces to generate two-dimensional (2D) SEM images of the physical faces, and performing image processing on the SEM images to determine a material property associated with each of the rock fabrics.

A method for assessing the mass concentration of uranium in a sample of uranium-bearing material by gamma spectrometry, includes a) acquiring (200) an energy spectrum of gamma radiation from the sample using a scintillator detector, the energy spectrum (100) comprising at least a first energy band (110) between 87 keV and 110 keV, and a second energy band (120) between 560 keV and 660 keV, the second energy band comprising at least one energy line (130) at 609 keV from .sup.214Bi, b) calculating (210) an initial mass concentration of uranium (Cm.sub.U0) using the energy spectrum, c) measuring (220) a parameter representative of the height of the sample and a parameter representative of the density of the sample, d) calculating (230) a corrective coefficient (K), and e) calculating (240) a corrected mass concentration of uranium (Cm.sub.U) using the initial mass concentration of uranium (Cm.sub.U0) and the corrective coefficient (K).

A method comprises identifying a depositional form of a mineral phase in a sedimentary rock sample based on a measurement (a) of a parameter indicative of a size of crystallites of the mineral phase in the rock sample.

Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.

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.

An analysis apparatus comprises: a moveable stage assembly; a sample holder on a top surface of the stage assembly; a first photon source and a first photon detector or detector array, the first photon source being configured to emit a first beam of photons that intercepts the surface of a sample at a first location on the sample and the first photon detector or detector array being configured to detect photons that are emitted from the first location; and a second photon source and a second photon detector or detector array, the second photon source being configured to emit a second beam of photons that intercepts the surface of the sample at a second location on the sample, the second location being spaced apart from the first location, and the second photon detector or detector array being configured to detect photons that are emitted from the second location.