A neutron imaging device employs a neutron source including a sealed enclosure, gamma ray detector(s) spaced from the neutron source, and particle detector(s) disposed in the sealed enclosure of the neutron source. The output of the particle detector(s) can be used to obtain a direction of particles generated by the neutron source and corresponding directions of neutrons generated by the neutron source. Such information can be processed to determine locations in the surrounding borehole environment where the secondary gamma rays are generated and determine data representing formation density at such locations. In one aspect, the gamma ray detector(s) of the neutron imaging device can include at least one scintillation crystal with shielding disposed proximate opposite ends of the scintillation crystal. In another aspect, the particle detector(s) of the neutron imaging device can include a resistive anode encoder having a ceramic substrate and resistive glaze.

A neutron imaging device employs a neutron source including a sealed enclosure, gamma ray detector(s) spaced from the neutron source, and particle detector(s) disposed in the sealed enclosure of the neutron source. The output of the particle detector(s) can be used to obtain a direction of particles generated by the neutron source and corresponding directions of neutrons generated by the neutron source. Such information can be processed to determine locations in the surrounding borehole environment where the secondary gamma rays are generated and determine data representing formation density at such locations. In one aspect, the gamma ray detector(s) of the neutron imaging device can include at least one scintillation crystal with shielding disposed proximate opposite ends of the scintillation crystal. In another aspect, the particle detector(s) of the neutron imaging device can include a resistive anode encoder having a ceramic substrate and resistive glaze.

Through-tubing, cased-hole sealed material density can be evaluated using gamma ray measurements. Density evaluation comprises detecting, by at least one detector positioned within a casing of a wellbore including a sealing material positioned between the casing and a subsurface formation, electromagnetic radiation generated in response to nuclear radiation being emitted outward toward the subsurface formation, determining an electromagnetic radiation count based on the detected electromagnetic radiation, selecting at least one of a first reference material having a density that is less than a density of the sealing material and a second reference material having a density that is greater than the density of the sealing material, adjusting the electromagnetic radiation count based on the density of the at least one of the first reference material and the second reference material, and determining a density of the sealing material based on the adjusted electromagnetic radiation count.

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.

A combining mechanism for borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is provided, said mechanism comprising: at least one mechanism for assigning interpretive values to individual processed data types; at least one mechanism for combining the interpretive value data sets; and, at least one mechanism for providing an interpretation. A method of combining borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is also provided, said method comprising: assigning interpretive values to individual processed data types; combining the interpretive value data sets; and, providing an interpretation.

A downhole tool may include a voltage multiplier within a housing. The voltage multiplier may transform input power to the downhole tool from a first voltage to a second voltage higher than the first. The downhole tool may also include multiple shielding rings surrounding at least the voltage multiplier to reduce electric field stresses within the downhole tool. Additionally, the downhole tool may include an insulator located between the shielding rings and the housing.

A downhole tool may include a voltage multiplier within a housing. The voltage multiplier may transform input power to the downhole tool from a first voltage to a second voltage higher than the first. The downhole tool may also include multiple shielding rings surrounding at least the voltage multiplier to reduce electric field stresses within the downhole tool. Additionally, the downhole tool may include an insulator located between the shielding rings and the housing.

Methods for determining mineral compositions of materials are described. The methods include obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix of the geologic sample from the elemental data, calculating an artificial correlation matrix, comparing the measurement correlation matrix and the artificial correlation matrix to determine an error value, minimizing the error value by updating the artificial correlation matrix and comparing the measurement correlation matrix to the updated artificial correlation matrix, and determining a mineral composition of the geologic sample based on the minimized measurement correlation matrix.

A combining mechanism for borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is provided, said mechanism comprising: at least one mechanism for assigning interpretive values to individual processed data types; at least one mechanism for combining the interpretive value data sets; and, at least one mechanism for providing an interpretation. A method of combining borehole logging tool data that employs modality merging to combine the output data of various borehole logging tools to provide a combined result and automated interpretation is also provided, said method comprising: assigning interpretive values to individual processed data types; combining the interpretive value data sets; and, providing an interpretation.