A method for a multielement analysis via neutron activation. The method includes generating fast neutrons with an energy in the range of 10 keV to 20 MeV and moderating the neutrons, irradiating the sample with the neutrons, and measuring the gamma radiation emitted by the irradiated sample using a detector to determine at least one element of the sample. The sample continuously irradiated in a non-pulsed fashion. The measurement is implemented during the irradiation. The determination of the at least one element includes an evaluation of the measured gamma radiation. The sample is subdivided into individual partitions and the measurement is implemented using a collimator. The evaluation includes a spatially resolved and energy-resolved determination of the neutron flux within the respective partition of the sample and calculation of energy-dependent photopeak efficiencies and neutron flux and neutron spectrum within a single partition of the sample by an approximation method.

Multiple tagged neutrons are emitted from an associated particle imaging neutron generator. The tagged neutrons penetrate a target material and interact with the target material nucleus—which emits nucleus-specific gamma rays. A gamma ray detector detects all gamma rays—including the nucleus-specific gamma rays. An alpha-gamma timing spectrum is constructed for all detected gamma rays. For a specific energy level (MeV) corresponding with the target material nucleus, a peak in the alpha gamma timing spectrum indicates the presence of the target material. Based on the peaking time of the gamma rays (due to tagged neutrons interaction with the target material nucleus) in the alpha-gamma timing spectrum for the specific energy level, the distance from the neutron generator to the target material can be calculated. The nucleus-specific gamma ray spectrum data can be effectively collimated by programming the system to detect the gamma rays in a time window corresponding to the peaking time.

A system for predicting rare earth elements (REEs) in a feedstock sample includes a measurement instrument that records a measurement for a sample, a processor communicatively coupled to the measuring instrument, and a memory communicatively coupled to the processor and containing machine readable instructions that, when executed by the processor, cause the processor to correlate the measurement series using a model; and predict a presence of one or more rare earth element based at least in part on the correlation. A method for predicting rare earth elements includes measuring feedstock samples via XRF or PGNAA, to generate a measurements of elements of interest with a lower atomic weight than REEs; correlating the measurements with a model; and predicting a presence of one or more rare earth elements based at least in part on the correlation.

A system and method is provided to determine the moisture content in a sample material undergoing elemental activation analysis (EAA), the sample material containing at least one sample element which during EAA forms an activation product. The method comprises the steps of (i) positioning a reference material in vicinity of the sample material, the reference material containing a reference element having a thermal neutron capture cross-section of at least 1 barn, the reference material selected such that its product isotope of a thermal neutron capture reaction is a radioisotope that emits gamma-rays, (ii) irradiating the sample material and the reference material with a source of fast neutrons to produce thermal neutrons in the sample material and (iii) detecting gamma-rays emitted from the reference material and generating signals representative of the detected gamma-rays, (iv) calculating a factor, R, proportional to the thermal neutron flux based on the generated signals and (v) identifying, from a relationship relating moisture content to R, the moisture content in the sample material.

A system according to an exemplary aspect of the present disclosure includes, among other things, a generator-detector configured to be attached to a pipe. The generator-detector is configured to measure the concentration of mercury in the pipe in a non-destructive manner. A method is also disclosed.

A system includes a neutron source positionable within a wellbore to emit one or more neutrons toward a formation surrounding the wellbore. The system also includes a gamma ray detector positionable within the wellbore to detect gamma rays. Further, the system includes a gamma ray analyzer that can perform operations. The operations can include receiving data indicating detected gamma rays from the gamma ray detector. Additionally, the operations include determining, from the data indicating the detected gamma rays, an amount of activated tracer material present within the wellbore originating from non-radioactive tracer material of drill-in fluid. The operations also include determining, from the amount of activated tracer material, an amount of filtercake buildup in a wellbore, a depth of fluid-loss filtrate into the formation surrounding the wellbore, or a combination thereof.

An apparatus for bulk ore sorting using gamma activation analysis is disclosed. The apparatus includes a conveyor system that includes one or more conveyor belts, surrounded by one or more radiation shields, to transport ore material along a transport path. A pulsed X-ray radiation source is configured to irradiate ore material at an irradiation region and one or more detectors are configured to detect a gamma radiation output from irradiated ore material at a detection region. The transport path has a bend, located between the irradiation region and the detection region, and about a vertical axis, of at least 45 degrees. The one or more detectors are configured to detect a radiation output from the irradiated ore material at times between X-ray pulses of the pulsed X-ray radiation source irradiating the ore material.

A system for predicting rare earth elements (REEs) in a feedstock sample includes a measurement instrument that records a measurement for a sample, a processor communicatively coupled to the measuring instrument, and a memory communicatively coupled to the processor and containing machine readable instructions that, when executed by the processor, cause the processor to correlate the measurement series using a model; and predict a presence of one or more rare earth element based at least in part on the correlation. A method for predicting rare earth elements includes measuring feedstock samples via XRF or PGNAA, to generate a measurements of elements of interest with a lower atomic weight than REEs; correlating the measurements with a model; and predicting a presence of one or more rare earth elements based at least in part on the correlation.

A portable neutron generating system for SNM inspection that includes charge storage device configured to store a high voltage electrical charge and a controller to selectively electrically connect the charge to a plasma generator. The plasma generator is configured to generate a plasma, which in turn generates neutrons, in response to the electrical charge being provided to the plasma generator. A high voltage switch is located between the charge storage device and the plasma generator and is configured to electrically discharge the high voltage charge on the charge storage device to the plasma generator. The plasma generator is removably attachable to the portable neutron generating system such that it may be easily removed from the portable neutron generating system when the gas inside the plasma generator is at end of life and a refreshed plasma generator easily connected to the portable neutron generating system.

A system for analyzing soil content of a field includes a data acquisition unit configured to detect gamma spectra of each of a plurality of soil samples, wherein a surface area of the field is divided into a plurality of portions and the plurality of soil samples comprises at least one soil sample from each of the plurality of portions, a navigation unit configured to detect geographic coordinates of each of the plurality of soil samples, a data analysis unit configured to associate the detected gamma spectra of each of the plurality of soil samples with the geographic coordinates of the soil sample and determine a weight percent of at least one element within each of the soil samples based on the detected gamma spectra, and an element content map unit configured to generate a map indicating concentration of the at least one element within the soil of the field.