Abstract: The disclosure provides for a bottom hole assembly that comprises a stator solenoid winding transmitter assembly operable to generate a magnetic field. The stator solenoid winding transmitter assembly comprises a coil comprising a plurality of windings and a sleeve, wherein the coil is disposed within the sleeve. The bottom hole assembly further comprises a solenoid control assembly disposed adjacent to the stator solenoid winding transmitter assembly, wherein the solenoid control assembly is communicatively coupled to a controller and electrically connected to the coil and a mud motor comprising a rotor and a stator, wherein the stator solenoid winding transmitter assembly is disposed around the mud motor.

Abstract: A generation system and method for a high-precision three-dimensional navigation map of a fully mechanized mining surface, applicable to use in the technical field of unmanned mining. The generation system comprises a channel wave seismometer, a laser radar, a combined navigation device, a ground penetrating radar, and a data processing unit; the data processing unit acquires data collected by sensors; perform coordinate conversion, feature fusion and consistency processing on the collected data to generate a Delaunay triangle network of a coal seam, a fault/fold, and a roadway; draw a high-precision profile map of the triangle map, calculate a topological relation of the profile map, generate a topological data structure of the profile map, establish a navigation information automatic query database platform based on the high-precision profile map, and construct the high-precision three-dimensional navigation map of the fully mechanized mining surface.

Abstract: The embodiment of the present disclosure provides a method for pipeline network inspection zone generation based on smart gas and an Internet of Things system thereof. The method is implemented based on the Internet of Things system. The Internet of Things system includes a smart gas pipeline network safety management platform, a smart gas sensor network platform, and a smart gas object platform which interact in turn. The method includes: obtaining area feature information of a target inspection area of a gas network based on the smart gas object platform through the smart gas sensor network platform; generating one or more key inspection points in the target inspection area based on the area feature information of the target inspection area; and generating one or more inspection zones in the target inspection area based on the one or more key inspection points.

Abstract: A method includes obtaining total stresses and pore pressures of each porous medium of a formation, determining a first and second set of effective stresses for the formation, determining an individual collapse and fracturing mud weight for each porous medium of the formation using a first set of associated failure criteria, wherein the first set of associated failure criteria are based on the first set of effective stresses, determining an overall collapse and fracturing mud weight for the formation using a second set of associated failure criteria, wherein the second set of associated failure criteria is based on the second set of effective stresses, determining a mud weight window for the formation using the individual collapse mud weight, the individual fracturing mud weight, the overall collapse mud weight, and the overall fracturing mud weight, and transmitting a command to a drilling system based on the mud weight window.

Abstract: Provided is a maintenance operation assistance system comprising: a failure knowledge database wherein failure knowledge data is recorded; a failure knowledge coupling unit for reconstructing partial failure knowledge data into failure knowledge data; and an inspection procedure generation unit for presenting an inspection procedure using the reconstructed failure knowledge data. The failure knowledge coupling unit evaluates and adjusts the relatedness of nodes among different instances of partial failure knowledge data, and connects the different instances of partial failure knowledge data. On the basis of the reconstructed failure knowledge data, the inspection procedure generation unit sets priorities for when presenting the inspection procedure, and presents the inspection procedure to a diagnostic interface unit in accordance with the priorities.

Abstract: Various systems and methods for detecting air in a chamber of an infusion system are disclosed. In one embodiment, a determination is made that air is contained in the chamber on the basis of a change in the average force exerted against the plunger utilizing a derivative spike for event detection and a systematic reduction in the average force to confirm the nature of the change. In another embodiment, a determination is made that the chamber contains air when a difference between the current force profile and a baseline force profile crosses a threshold. In an additional embodiment, a force profile is classified as being an air force profile or a liquid force profile based on extracted features of the force profile.

Abstract: There is provided a content determination assistance system capable of efficiently assisting in identifying a mixture that is highly likely to be contained in a sample. The content determination assistance system records characteristic mass spectrum data for each of known compounds. The content determination assistance system extracts the corresponding current-sample mass spectrum from the current-sample mass spectrum data, and detects a high intensity mass spectra from the corresponding current-sample mass spectrum. The content determination assistance system outputs a degree of concordance in the mass spectrum between a known compound subject to determination and a current sample using the characteristic mass spectrum and the high intensity mass spectrum.

Abstract: A self-calibration detection device and a temperature demodulation method oriented to a fiber Raman temperature sensing system. The self-calibration detection device comprises a fiber Raman thermodetector, thermostatic baths, a multi-mode sensing fiber, and a multi-mode reflector. The fiber Raman thermodetector comprises a pulsed laser whose output end is connected to the input end of a WDM. Two output ends of the WDM are respectively connected to input ends of a first and second APDs. Output ends of the first and second APDs are respectively connected to input ends of a first and second LNAs. Output ends of the first and second LNAs are connected to the input end of a data acquisition card whose output end is connected with the input end of a computer. The temperature demodulation method can solve the problems of low temperature measuring accuracy, lower temperature measurement stability and low temperature measurement efficiency.

Abstract: A measurement method includes: a high-pass filter processing step of performing high-pass filter processing on target data including a drift noise to generate drift noise reduction data in which the drift noise is reduced, a correction data estimation step of estimating, based on the drift noise reduction data, correction data corresponding to a difference between the drift noise reduction data and data obtained by removing the drift noise from the target data, and a measurement data generation step of generating measurement data by adding the drift noise reduction data and the correction data.

Abstract: A method for fluid identification (water, oil, gas or CO2) and saturation estimation in subsurface rock formations using the prestack inverted seismic data by calculating the target fluid saturation (Sfl)(114) in a reservoir given the magnitude obtained from the P- to S-wave velocity ratio (Vp/Vs) (103), and acoustic impedance (AI) (102) extracted from the seismic data inversion, comprising the following steps: a) obtaining wireline log data within a zone of interest in a nearby well (101) and determining the suitable cementation and mineralogy factors by calibrating the background water-bearing sand trend with the reference 0% (or 0 fraction) Sfl curve onto the acoustic impedance-Vp/Vs ratio plane (110), b) calibrating Sfl computed from the acoustic impedance-Vp/Vs ratio curves with Sfl obtained from a conventional method by iterating P-wave velocity (Vpfl) and density (?fl) of the target fluid (111), c) obtaining inverted seismic data in the form of Acoustic Impedance (AI) (102) and Vp/Vs ratio (103) cubes,

Abstract: In certain embodiments, the invention relates to systems and methods for in vivo tomographic imaging of fluorescent probes and/or bioluminescent reporters, wherein a fluorescent probe and a bioluminescent reporter are spatially co-localized (e.g., located at distances equivalent to or smaller than the scattering mean free path of light) in a diffusive medium (e.g., biological tissue). Measurements obtained from bioluminescent and fluorescent modalities are combined per methods described herein.

Abstract: A system and method for predicting failures of rod pumps using a scaled load ratio is configured to: optimize the size of a rolling window, the upper and lower bounds of the normal range of the scaled load ratio, an alert period, and an alert frequency ratio; receive data of a current maximum/minimum loads on a surface rod, and a current speed; remove outliers showing an abnormality; scale the current maximum/minimum loads on the surface rod using the maximum/minimum loads on the surface rod in normal operation; calculate a scaled load ratio; calculate the average of scaled load ratios in the rolling window; determine whether the average of scaled load ratios is in the normal range, and classify the values as normal and abnormal events; calculate the ratio of the abnormal events in the alert period, and generate an alert when the calculated ratio exceeds the alert frequency ratio; and monitor a pump state using the pump failure prediction system.

Abstract: Methods and systems are provided that predict electromagnetic properties of drilling mud and a formation, which involve a logging tool that measures current injected into a measurement zone adjacent a sensor electrode at multiple frequencies. The measured currents at the multiple frequencies are processed to determine complex impedances for the sensor electrode at the multiple frequencies. The complex impedances are used to generate input data, which is supplied to a system of artificial neural networks (ANNs) that is configured to predict and output electromagnetic properties of the drilling mud and the formation within the measurement zone and possibly tool standoff based on the input data. The system of ANNs can employ a cascaded architecture of multiple ANNs. The electromagnetic properties or tool standoff predicted by the system of ANNs can be used to construct a borehole image over varying azimuth and depth.

Abstract: A corrosion rate estimation apparatus includes a corrosion rate measurement unit adapted to repeat water supply cycles in which water is supplied to soil in which metal to be evaluated is buried and measure a cycle number of each water supply cycle, one or more time points in each cycle, and a corrosion rate of the metal at the time point(s); a learning unit adapted to find a prediction model by accepting the cycle number, the time point(s) in the cycle, and the corrosion rate(s) as input and using a machine learning algorithm, the prediction model representing a future corrosion rate; and a corrosion rate estimation unit adapted to assign a cycle number and a time point in the cycle at which a corrosion rate is desired to be estimated to the prediction model and estimate a corrosion rate of the metal at the time point.

Abstract: Methods and devices according to various embodiments perform full-wave inversion jointly for datasets acquired at different times over the same underground formation using a time-lag cost function with target regularization terms. This approach improves the 4D signal within reservoirs and suppresses 4D noise outside.

Abstract: Disclosed is a method of processing a Raman spectroscopy signal. The method includes: obtaining a first resolution of Raman spectroscopy by irradiating a target sample with broadband excitation light; calculating a Raman spectroscopy signal corresponding to the Raman spectroscopy of the first resolution; and calculating a signal corresponding to a second resolution of Raman spectroscopy that is higher than the first resolution by deconvoluting a Raman light signal.

Abstract: A system provides seismic images of the subsurface by enhancing pre-stack seismic data. The system obtains seismic data comprising a plurality of seismic traces that are generated by measuring reflections of seismic waves emitted into a geological formation. The system sorts seismic data into at least one multidimensional gather comprising a data domain. The system determines local kinematical attributes of a seismic trace. The system forms an ensemble of seismic traces, each representing a reference point. The system applies local moveout corrections to each seismic trace of the ensemble. The system applies residual statics and phase corrections for each seismic trace that is corrected by the local moveout corrections. The system sums the seismic traces of the ensemble to obtain an output seismic trace having an increased signal-to-noise ratio (SNR) relative to the seismic trace that represents the reference point for the ensemble of seismic traces.

Abstract: A geosignal is calculated based on a signal detected by a multicomponent resistivity tool (101) to facilitate determination of formation properties and infer location of the resistivity tool with respect to formation boundaries. The resistivity tool (101) detects an electromagnetic field response signal (109) at a series of azimuth angles (111) during one tool rotation. The signal measured at each azimuth angle is decoupled to obtain nonzero electromagnetic field tensor components for input into the geosignal calculation. The results of the geosignal calculation for at least a top bin (i.e., an azimuth angle of 360 degrees) and a bottom bin (i.e., an azimuth angle of 180 degrees) are evaluated to determine whether the tool (101) is near a formation boundary. If the tool is determined to be near a formation boundary, the resistivity of the layers of the formation on each side of the detected boundary can be inferred.

Abstract: Methods and systems for performing log quality control on well data of non-key wells is provided. A method of identifying elastic facies in non-key wells as part of Log Quality Control (LQC) includes selecting one or more key wells, building a reference model of elastic facies using the well log data of the selected one or more key wells, propagating the reference model to well data of one or more non-key wells, benchmarking the well data of the non-key wells with the reference model, and calibrating the well data of the non-key wells with the reference model.

Abstract: The present disclosure includes methods, devices and systems for establishing a connection between a medical device and a remote computing device, receiving an upgrade command at the medical device, storing a current version of persistent data and a current version of executable code in a first storage area of the medical device, transmitting at least the current version of the persistent data to the remote computing device, receiving a second format of the current version of the persistent data and an upgraded version of executable code at the medical device, storing the second format of the current version of the persistent data and the upgraded version of the executable code in a second storage area of the medical device, and executing the upgraded version of the executable code with the second format of the current version of the persistent data.