A system can identify a type of contamination for drilling fluid based on measured fluid properties of the drilling fluid and fluid properties of a reference drilling fluid. A system can measure a first plurality of fluid properties for a drilling fluid sample contaminated from a wellbore drilling operation. A system can select a predicted model in relation to one or more types of contamination by comparing the first plurality of fluid properties and a second plurality of fluid properties measured from a reference fluid sample. A system can analyze the first plurality of fluid properties and a third plurality of fluid properties generated from the predicted model to determine a first type of contamination in the drilling fluid sample.

A method of monitoring a condition prevailing inside a piping system with respect to an impairment due to accretion, abrasion or corrosion caused by fluid(s) flowing through the piping system is disclosed, comprising the steps of: installing at least two measurement devices susceptible to an impairment and configured to measure variables indicative of the impairment; wherein the measured variables include at least two variables exhibiting a different dependency on the impairment; continuously recording data including time series of measured values of the variables measured; based on training data included in the data determining a dynamic reference behavior of the variables corresponding to time dependent distributions of values of the variables to be expected of the measured values when the measurement devices are unimpaired; repeatedly determining a deviation between a monitored behavior of the measured values of the variables and the reference behavior.

A fluid density gradient detection method includes capturing, by an imaging device under a predetermined imaging condition, a background image that forms a periodic pattern over an observation target area, and outputting an image indicating a fluid density gradient in the observation target area based on a captured image captured by the imaging device. The imaging condition is determined based on a relationship between a width of a pixel of the captured image in a direction in which the pattern periodically changes on the captured image and a pattern period width of the pattern on the captured image.

A fluid density gradient detection method includes capturing, by an imaging device under a predetermined imaging condition, a background image that forms a periodic pattern over an observation target area, and outputting an image indicating a fluid density gradient in the observation target area based on a captured image captured by the imaging device. The imaging condition is determined based on a relationship between a width of a pixel of the captured image in a direction in which the pattern periodically changes on the captured image and a pattern period width of the pattern on the captured image.

A method of spectrometric analysis comprises obtaining one or more sample spectra for an aerosol, smoke or vapour sample. The one or more sample spectra are subjected to pre-processing and then multivariate and/or library based analysis so as to classify the aerosol, smoke or vapour sample. The results of the analysis are used for various surgical or non-surgical applications.

A method of spectrometric analysis comprises obtaining one or more sample spectra for an aerosol, smoke or vapour sample. The one or more sample spectra are subjected to pre-processing and then multivariate and/or library based analysis so as to classify the aerosol, smoke or vapour sample. The results of the analysis are used for various surgical or non-surgical applications.

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.

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.

A thickness analyzer unit for determining a thickness of a layer includes a temperature change device, a temperature sensor, a memory, and a controller. The temperature change device is configured to induce a temperature change of the layer from a first temperature value to a second temperature value. The temperature sensor is configured to generate first temperature data corresponding to the first temperature value and second temperature data corresponding to the second temperature value. The memory is configured to store the first and second temperature values, a thermal conductivity value, a specific thermal capacity value, and a density value. The controller is configured (i) to determine a time constant value of the layer based on the first and second temperature values, and (ii) to determine the thickness of the layer based on the time constant value, the thermal conductivity value, the specific thermal capacity value, and the density value.

A thickness analyzer unit for determining a thickness of a layer includes a temperature change device, a temperature sensor, a memory, and a controller. The temperature change device is configured to induce a temperature change of the layer from a first temperature value to a second temperature value. The temperature sensor is configured to generate first temperature data corresponding to the first temperature value and second temperature data corresponding to the second temperature value. The memory is configured to store the first and second temperature values, a thermal conductivity value, a specific thermal capacity value, and a density value. The controller is configured (i) to determine a time constant value of the layer based on the first and second temperature values, and (ii) to determine the thickness of the layer based on the time constant value, the thermal conductivity value, the specific thermal capacity value, and the density value.