Abstract: A method for detecting positions of wafers includes: rotating a rotation table with a wafer thereon in a first direction at a first speed; detecting a contour of the wafer rotating in the first direction at the first speed to provide contour data; rotating the rotation table in a second direction at a second speed when an aiming feature of the wafer passes the detector in the first direction at the first speed; detecting the contour of the wafer rotating in the second direction at the second speed to provide new contour data; and stopping the rotation of the rotation table and the detection of the wafer according to an accumulation of contour data and corresponding rotation angles, to estimate an eccentric position of the wafer and a position of the aiming feature when the aiming feature passes the detector in the second direction at the second speed.

Abstract: Actions, such as effects and adverse-events, of a test substance in humans are predicted by using an artificial intelligence model trained by a method for training an artificial intelligence model, the method including inputting into the artificial intelligence model a set of first training data and second training data or a set of the second training data to train the artificial intelligence model.

Abstract: Apparatus and methods can be implemented to monitor the condition of the production and intermediate casing strings in oil and gas field operations. A series of measurements can be made in a multi-pipe structure and received responses can be operated on by employing a mapping optimization procedure in which a surrogate model is updated. Estimates of one or more properties of the pipes of the multi-pipe structure can be generated using coefficients of the updated surrogate model. Additional apparatus, systems, and methods are disclosed.

Abstract: A method for estimating the efficiency of hole cleaning of a well-bore during drilling operations includes (a) selecting at least one feature of the drilling operation for monitoring; (b) receiving, from a sensor, data regarding the at least one feature; (c) comparing the data to a predetermined condition for the at least one feature; (d) defining an event when the data meets the predetermined condition; (e) assigning a weight to the event based on a duration of the event; and (f) estimating an efficiency of the hole cleaning based on the event and the weight of the event. The at least one feature being selected from the list consisting of: hole angle, circulation, tight spot, static hole, and bit hydraulics.

Abstract: The process control system converts, into images, time-varying waveforms of inspection data of an assembled product, parts, and sub-assembling processes that constitute the assembling process, performs matching between an inspection waveform image (IWI) of the assembled product and a predetermined deterioration pattern image (DPI), determines whether IWI of the assembled product is similar to DPI, performs, when IWI is similar to DPI, a first determination for performing matching between an IWI of each of sub-assembling processes and DPI and determining whether there is a sub-assembling process similar to DPI, performs, when there is a sub-assembling process similar to DPI in the first determination, a second determination for performing matching between IWI of each of parts assembled in the sub-assembling process similar to DPI and DPI and determining whether there is a part similar to DPI, and specifies a deterioration factor based on results of the first and second determinations.

Abstract: The present application describes a waveform processor for control of quantum mechanical systems. The waveform processor may be used to control quantum systems used in quantum computation, such as qubits. According to some embodiments, a waveform processor includes a first sequencer configured to sequentially execute master instructions according to a defined order and output digital values in response to the executed master instructions, and a second sequencer coupled to the first sequencer and configured to generate analog waveforms at least in part by transforming digital waveforms according to digital values received from the first sequencer. The analog waveforms are applied to a quantum system. In some embodiments, the waveform processor further includes a waveform analyzer configured to integrate analog waveforms received from a quantum system and output results of said integration to the first sequencer.

Abstract: A method is described for estimating either flowback or the reservoir fluids production rate from either one individual inlet or the contribution from several inlets separated by intervals in a wellbore located in an oil and/or gas reservoir. The wellbore may include a casing with a plurality of magnetic irregularity elements, such as casing collars, to generate magnetic perturbations within the casing. In the method, one or more sensor elements are delivered in such a way that the flow drags them while the sensor elements record in time the magnetic perturbations generated by the magnetic irregularity elements. The known location of the magnetic irregularity elements and the reading of perturbations enables estimating the velocity of the sensor element(s) along the path direction of the casing, to determine the velocity of the fluid.

Abstract: A test instrument connectable to a cable television (CATV) network to provide a high resolution time domain reflectometry (TDR) in a fault location measurement is disclosed. The test instrument may have a port connectable to a test point in the CATV network. The test instrument may also have a processing circuit to perform a calibration measurement and a fault location measurement by transmitting frequency-chirped probe pulses into a closed calibration circuit within the test instrument, and receiving return signals at an analog-digital converter in the test instrument. The processing circuit may resample the calibration measurement and the fault location measurement at a high sampling rate, cross-correlate the fault location with the calibration measurement to generate a cross-correlation TDR waveform, and generate a new TDR waveform using a refinement processing technique to remove echoes from the cross-correlation TDR waveform.

Abstract: In an electrical characteristic acquisition apparatus, a condition under which an electrical characteristic of a target object is acquired can be inputted by an operator, and an electrical characteristic of the target object is acquired under the input condition. In a case where a condition is inputted as a condition under which an electrical characteristic of the target object is acquired, an erroneous determination is made due to the different conditions that the target object is not an electrical component which complies with the nominal value, or, in a case where a difference between a value representing an electrical characteristic of the target object and a nominal value of the target object is larger than a permissible tolerance, an erroneous determination is made that the target object is defective. Here, these erroneous determinations are prevented from being made.

Abstract: A chromatographic data system processing apparatus includes a standard sample time table for prestoring a first retention time and a first allowable width of each peak of specific components of a standard sample, a determination unit for determining whether a number of peaks coincides with a specified number when a peak cannot be identified, an alteration unit for altering the standard sample time table by increasing the first allowable width of a specific component to an altered allowable width, an identification unit for identifying the peaks based on the altered standard sample time table when all peaks fall within a range of the altered allowable width, and a setting unit for acquiring an actually-measured retention time of the peaks, and setting a measurement sample time table based on the actually-measured retention time and a second allowable width when the peaks are identified based on the altered standard sample time table.

Abstract: Methods, systems, and computer-readable medium to perform operations including: clipping an average velocity grid of a seismic reference surface (SRSAV), in an oil and gas field, to remove average velocity data of a region containing high-angle, horizontal (HA/HZ) boreholes, wherein the seismic reference surface approximates a geological reference surface; based on (i) a depth grid of the geological reference surface (GRSD) generated using HA/HZ borehole data, and (ii) a time grid of the seismic reference surface (SRST), generating borehole average velocity grid (BAV) along the HA/HZ boreholes; gridding the BAV with the clipped SRSAV to generate a hybrid seismic borehole average velocity grid (HSBAV) of the oil and gas field; and based on the HSBAV and the SRST, generating a hybrid seismic geological depth grid (HSGD) of the oil and gas field.

Abstract: A yield calculation system comprises a position sensor configured to detect a position. A baler comprises a bale chamber in which crop material is to be formed into a bale, a volume measurement sensor provided in the bale chamber and configured to measure a volume of the bale in the bale chamber, the volume corresponding to the position detected by the position sensor, and a moisture measurement sensor provided in the bale chamber and configured to measure a moisture amount in the bale, the moisture amount corresponding to the position detected by the position sensor. Circuitry is configured to calculate, based on the volume of the bale and the moisture amount corresponding to the position, a yield corresponding to the position by excluding the moisture amount from an amount of the bale.

Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured. in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.

Abstract: A method for enhancing a formation property image may include taking at least one set of formation property measurements with a borehole imaging device, arranging the at least one set of formation property measurements into a two-dimensional image with a buffer, feeding the two-dimensional image into a deep-learning neural network (DNN), and forming a corrected formation property image from the two-dimensional image. The method may further include inverting the at least one set of formation property measurements to form at least one set of inverted formation property measurements and arranging the at least one set of inverted formation property measurements into a two-dimensional image with a buffer.

Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.

Abstract: A method for measuring geometric errors of a numerical control turntable based on a four-station laser tracer system includes: establishing a self-calibration coordinate system and calibrating positions of tracking interferometers; respectively placing each of target lenses at three non-coplanar points that are above the numerical control turntable and keep certain distances from the numerical control turntable, controlling the numerical control turntable to rotate at a certain angular interval ?j, and based on positions of the tracking interferometers being known after calibration, solving coordinates of each of measurement points in the self-calibration coordinate system using a non-linear least square method; establishing a turntable coordinate system; perform a conversion between the turntable coordinate system and the self-calibration coordinate system; separating six geometric errors of the numerical control turntable using spatial position errors of the three points at a same position and using the lin

Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.

Abstract: A demarcating system for indicating the boundary of an area to an object (for example a robot, such as a robotic lawnmower), which has a receiver for receiving electromagnetic signals. The system includes a control system, a wire loop, a signal generator, and current sensing circuitry. The wire loop can be arranged by a user along a path, so as to indicate the path to the object as part of a boundary of the area. The signal generator is electrically connected to the wire loop in order to apply voltage signals thereto, such signals causing the emission of corresponding electromagnetic boundary indicating signals from the wire loop that may be received by the receiver of the object. The signal generator is under the control of the control system with the voltage signals applied by the signal generator to the wire loop being controlled by the control system. The current sensing circuitry senses current signals present within the wire loop and the processors of the control system analyse such current signals.

Abstract: A method for automating process development in a bioprocessing environment is provided. The method comprising: executing a first experiment run according to a set of parameters; retrieving a first real-time set of data of the experiment run while the experiment run is being executed; retrieving a second real-time set of data of an experiment run being executed in parallel, analysing the retrieved first real-time set of data and the second real-time set of data to determine an adjusted set of parameters; and, modifying, based on the analysis, the parameters upon which the experiment run is being executed during execution of the run such that the run continues to be executed according to the modified set of parameters. A system, computer program and computer readable medium are also provided.

Abstract: A method for predicting formation permeability by measuring diffusional tortuosity in several directions by pulse gradient NMR. The method comprises evaluating an anisotropic diffusion coefficient by pulsed gradient NMR, determining diffusional tortuosity from the restricted diffusion data, supplementing the NMR results with resistivity and sonic logging data, measuring anisotropic tortuosity and porosity by resistivity and sonic data and combining all components in a single fitting model. The 11-coefficient model is trained to recognize the true values of permeability by comparing the real oil permeabilities measured in a library of oil-carrying rock cores with the NMR, resistivity and sonic correlates. The fitting coefficients are extracted by minimizing the discrepancy between the laboratory measured permeabilities and the predicted values combining all rapid logging information components with the agreement-maximizing weights.