This disclosure presents a process to determine characteristics of a subterranean formation proximate a borehole. Borehole material can be typically pumped from the borehole, though borehole material can be used within the borehole as well. Extracted material of interest can be collected from the borehole material and prepared for analyzation. Typically, the preparation can utilize various processes, for example, separation, filtering, moisture removal, pressure control, cleaning, and other preparation processes. The prepared extracted material can be placed in a photoacoustic device where measurements can be taken, such as a photoacoustic imager or a photoacoustic spectroscopy device. A photoacoustic analyzer can generate results utilizing the measurements, where the results of the extracted material can include one or more of fracture parameters, fracture plane parameters, permeability parameters, porosity parameters, and composition parameters. The results can be communicated to other systems and processes to be used as inputs.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

The present disclosure relates to devices and methods for determining the density of insulation. For example, one aspect of the disclosure is a device that includes a first unit that includes a sound generator and a second unit that includes a sound sensor and a probe. The probe is configured to be inserted into insulation such that the sound sensor is outside of the insulation and is configured to detect sound that is generated by the sound generator outside of the insulation and transmitted through the insulation and the probe to the sound sensor. The device also includes a control system configured to cause the sound generator to generate the sound and to use the sound detected by the sound sensor to generate output that represents the density of the insulation.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

The present document relates to a heterodyne scanning probe microscopy (SPM) method for subsurface imaging, and includes: applying, using a transducer, an acoustic input signal to the sample, wherein the acoustic input signal has a frequency of at least 1 gigahertz; sensing an acoustic output signal using a probe, the probe including a cantilever and a probe tip, wherein the probe tip is in contact with the surface, wherein the acoustic output signal is representative of acoustic waves responsive to the acoustic input signal that are measurable at the surface; wherein the acoustic input signal is applied to the sample comprising a distinct pulse of acoustic energy followed by a relaxation period, wherein an acoustic power of the acoustic input signal during the pulse is at least twice as large as an acoustic power during the relaxation period. The present document further relates to a scanning probe microscopy method.

A device is provided that is intended to simultaneously measure and identify at least two characteristics of multiphase fluid flows through the device and/or equipment attached to the device. The device has a lower measurement medium invasive compartment comprised of at least two ultrasonic and/or acoustic transducers, a piezo-resistive sensing element, and a resistance temperature detector (RTD) to make simultaneous independent measurement. A pathway connects to the device's upper electronic compartment comprised of an accelerometer array, multiple stacked circuit boards providing power, sensing interface, processing, calculation, and network communication functionalities. The device is capable of measuring, processing, and calculating simultaneous independent pressure, temperature, flow rate, and vibration measurement. The device reports data to an external system via either wired and/or wireless communication channel.

A fluid measuring device for determining at least one characteristic property of a fluid includes a measuring tube having a fluid duct and a measuring section in which the measuring tube is cylindrical on the inside and an area of a measuring tube wall is configured as a waveguide, and a transmitter for exciting acoustic waves in the waveguide and a receiver for receiving acoustic waves which are in direct contact with an outer surface of the waveguide, wherein acoustic waves excited by the transmitter are adapted to propagate as a volume wave through the fluid. The waveguide has an elongated waveguide path which extends at an acute angle to a longitudinal extension direction of the measuring tube and with a component in the circumferential direction, wherein in the area of the waveguide path, the measuring tube wall has a smaller wall thickness than in areas adjoining the waveguide path.

A system for sensing the volume and/or viscosity of a slurry (e.g., like concrete) contained in a rotating container or drum, having a sensor and a signal processor. The sensor is configured to attach inside a rotating container or drum having a known geometry, sense angular positions of the sensor and also sense associated entry and exit points when the sensor enters and exits the slurry, including concrete, contained in the rotating container or drum, and provide signaling containing information about the angular positions and the associated entry and exit points. The signal processor receives the signaling, and determines corresponding signaling containing information about a volumetric amount, or a viscosity, or both, of the slurry in the rotating container or drum, based upon the signaling received.

An apparatus and method for multi-bounce acoustic signal material detection is provided. The apparatus includes a container containing a quantity of material therein, wherein the quantity of material has at least two segmented layers. First and second acoustic sensors are positioned on a sidewall of the container, wherein the first acoustic sensor is positioned at a different height along the sidewall than the second acoustic sensor. An acoustic signal is transmitted into the sidewall of the container from the first acoustic sensor. The acoustic signal reflects between an interior surface of the sidewall and an exterior surface of the sidewall until it is received at the second acoustic sensor. A border between the at least two segmented layers of the quantity of material is detectable based on the acoustic signal.

The present invention relates to a vibronic sensor for determining a process variable of a medium in a containment, comprising a mechanically oscillatable unit, a driving/receiving unit and an electronics unit having an adaptive filter. The present invention relates also to a method for operating the sensor. The electronics unit is embodied alternately to execute a first operating mode and a second operating mode. The driving/receiving unit is embodied during the first operating mode to excite the oscillatable unit using an electrical excitation signal. During the second operating mode, the exciting of the oscillatable unit is interrupted and the oscillations of the oscillatable unit are received and transduced into an electrical, received signal. At least one filter characteristic of the adaptive filter is set such that a predeterminable phase shift is present between the excitation signal and the received signal, and the process variable is determined from the received signal.