Abstract: A method for tracking time in use of a generating set includes furnishing at least one piece of information characteristic of an operating time of said generator set. An autonomous device for measurement is solidly attached to a chassis of said generator set and has at least two sensors. One sensor is for measurement of a first physical magnitude. Another sensor is for measurement of a second physical magnitude. The anonymous device performs analysis of said first and second physical magnitudes provides for delivering a piece of information representative of an operating state of said generator set, determination of a piece of information representative of a global operating time of said generator set by cumulative time during which said representative information of an operating state is furnished, and storage of said piece of information representative of a global operating time of said generator set.

Abstract: Systems and methods are disclosed for identifying and displaying geostructural properties as a function of lithology, horizons, and faults interpreted from well and seismic data. Exemplary implementations may include obtaining an initial fracture distribution grid model; obtaining training structural deformation data; obtaining training subsurface lithology parameter data; obtaining training fracture attribute data; and training the initial fracture distribution grid model to generate a trained fracture distribution grid model.

Abstract: Described herein are systems and method for monitoring weather conditions and controlling field operations based on the weather conditions. In one embodiment, a system for monitoring weather conditions for field operations includes a plurality of weather devices for monitoring weather conditions of fields with at least at one weather device in proximity to each field being monitored and at least one weather device having an electronics module for determining weather data including precipitation data. The system also includes an agricultural computer system having at least one processing unit for executing instructions for monitoring weather conditions. The at least one processing unit is configured to execute instructions to receive weather data from the plurality of weather devices for monitoring weather conditions of fields, to process the weather data, and to generate data including precipitation rate for monitoring weather conditions and operations of the plurality of weather devices.

Abstract: Methods and systems for monitoring the performance of a building management system by analyzing log files of various modules of the building management system. A user request is received at a first one of the plurality of modules of the building management system, which initiates a sequence of messages processed by two or more modules. Each of the sequence of messages include a common tag value that corresponds to the user request. Each of the plurality of modules that process one of the sequence of messages logs the corresponding message including the common tag value in a corresponding log entry. The log entries are analyzed to identify resource utilization of at least some of the plurality of modules.

Abstract: Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.

Abstract: A device, system and method to process acoustic images of tubulars and wellbores. Corrections for real-world logging are calculated and stored in correction Look Up Tables (LUT), which are used to display projections or create geometric models of the wellbore or tubular. The user interface allows the user to interact with the projections to update the LUTs to operate on the images. This process helps correct for real-world challenges such as tool eccentricity, tool rotation, tool angle, and speed of sound differences in order to create a more intuitive rendering.

Abstract: A method for hydrocarbon exploration based on imaging tunnel valleys is disclosed. The method includes obtaining a 3D seismic volume data corresponding to a target formation having at least one tunnel valley, interpreting a key horizon at or above the target formation as preparation for paleo-depositional environment restoration, flattening and decimating the 3D seismic volume data using the key horizon for paleo-depositional environment restoration to obtain a conditioned 3D seismic volume data, analyzing the conditioned 3D seismic volume data for frequency content and decomposing the conditioned 3D seismic volume data into at least three attributes, blending the at least three attributes to form a single seismic volume data to illuminate key features, and displaying, on a map, a distribution of the tunnel valleys in the 3D seismic volume data of the target formation.

Abstract: Methods and systems for determining an interbed multiple attenuated pre-stack seismic dataset are disclosed. The methods include forming a post-stack seismic image composed of post-stack traces from the pre-stack seismic dataset and identifying a first, second, and third post-stack horizon on each of the post-stack traces. The methods further include for each pre-stack trace, generating a first, second, and third multiple-generator trace based on the first, second and third post-stack horizon and determining a correlation trace based, at least in part, on a correlation between the first multiple-generator trace and the second multiple-generator trace.

Abstract: A system for determining a well placement may include an analysis module. The analysis module, using a Bayesian Decision Network model, may perform a first assessment of data availability, saturation, fracture, and seismic data associated with a candidate area for drilling a first well, and may output a first probability that indicates a potential production level of the first well. The analysis module may perform a second assessment of offset, stress, thickness, and porosity data associated with a second, nearby well, and may output a second probability that indicates a potential production level of the first well if a lateral is placed in a layer and at a azimuth direction. The analysis module may perform a third assessment of tortuosity, washout, and porosity data, and a net-to-gross value associated with the first well and may output a third probability that indicates a completion type for the first well.

Abstract: Systems and techniques are disclosed for machine learning based improvements in estimation techniques. An example method includes obtaining a seed specifying a portion of an action for evaluation with respect to a networked computing environment. A description of the action is completed by providing a first recurrent neural network (RNN) with the seed to generate one or more additional words, with the action represented by the description not being enabled yet in the networked computing environment. An estimated down-stream impact (DSI) associated with the action is determined based on a second RNN, with the estimated DSI indicating an estimated measure of impact to the networked computing environment which would be caused by performance of the example action after enabling the example action. Output of an interactive user interface including information representing the action and the estimated DSI is caused.

Abstract: A non-nulling gas velocity measurement apparatus performs a non-nulling measurement of gas velocity parameters and includes: a non-nulling pitot probe; gas valves in fluid communication with a different entrant aperture of the non-nulling pitot probe via a different pressure channel; receives stagnant gas from the respective entrant aperture; receives a reference gas; receives a valve control signal; and produces a valve-selected gas based on the valve control signal, the valve-selected gas consisting essentially of the reference gas or the stagnant gas; and a plurality of differential pressure transducers, such that each differential pressure transducer: is separately and independently in fluid communication with a different gas valve, and that gas valve communicates the valve-selected gas to the differential pressure transducer; receives the valve-selected gas from the gas valve; and produces a differential pressure signal from comparison of the pressure of the valve-selected gas to a reference gas pressure

Abstract: A method for a method for identifying a subsurface pore-filling fluid and/or lithology. A training set of field-acquired geophysical data and/or simulated geophysical data is provided to train a backpropagation-enabled process. The trained process is used on a field-acquired data set that is not part of the training set to infer presence of a subsurface pore-filling fluid and/or lithology.

Abstract: Systems, methods, and computer readable media for the determination of hydrogen sulfide (H2S) concentration and distribution in carbonate reservoirs using a mechanical earth model. Hydrogen sulfide (H2S) concentration in a carbonate reservoir n may be measured and correlated with horizontal maximum stresses of stress ratios determined using mechanical earth model for a strike-slip fault regime. The hydrogen sulfide (H2S) concentration at different depths in the carbonate reservoir may be determined using the correlation.

Abstract: A system, computer-readable medium, and method for determining a potential drilling location, of which the method includes obtaining data representing a subterranean domain. The data includes at least seismic data. The method also includes inverting the seismic data, creating a petroleum systems model of the subterranean domain based at least in part on a result of inverting the seismic data, simulating a dynamic reservoir model of the subterranean domain based at least in part on the petroleum systems model, and identifying the potential drilling location based on a combination of the inverting of the seismic data, creating the petroleum systems model, and simulating the dynamic reservoir model.

Abstract: A position determination system for determining a position of a device movable in an environment comprises a position determination unit and a memory unit. An environmental map of the environment is stored in the memory unit. The position determination unit is configured to receive measured distance values of an environmental sensor of the movable device and to determine the position of the movable device by a comparison of the measured distance values with the environmental map. The stored environmental map comprises at least one block, with the block comprising an arrangement of map values representing the environment and with the map values representing distance values from a margin of the environment. The block of the environmental map is stored in the memory unit as a coefficient of a linear combination of basis functions, with the linear combination of the basis functions approximating the map values of the block.

Abstract: A method and system for locating a reflector in a formation. The method may comprise broadcasting a sonic waveform as a shear formation body wave or a compressional formation body wave into the formation, recording a reflected wave from a reflector with the one or more receivers as dipole data by the dipole receiver and quadrupole data by the quadrupole receiver, and processing the dipole data and the quadrupole data with an information handling system to determine a location of the reflector from the borehole sonic logging tool. The system may comprise a borehole sonic logging tool and an information handling system. The borehole sonic logging tool may comprise one or more transmitters configured to transmit a sonic waveform into a formation and one or more receivers configured to record a reflected wave as a dipole receiver for dipole data and a quadrupole receiver for quadrupole data.

Abstract: Disclosed is a method and apparatus for inspecting defects in a washer based on deep learning. According to an embodiment of the present disclosure, a method for inspecting defects in a washer based on deep learning gathers learning data while the washer operates and trains a first ANN model for diagnosing the condition of the washer and a second ANN model for securing the reliability of the result of inspection of the condition of the washer. Thereafter, the washer may make a diagnosis of whether the washer is defective based on the two pre-trained ANN models and are thereby able to continuously monitor whether the washer has an abnormal condition. According to an embodiment, the artificial intelligence (AI) module may be related to unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Abstract: An aerial-and-ground data combined gravity conversion method includes the following steps: calculate the first estimated ground gravity by the Runge-Kutta format 1, and calculate the first error between the first estimated ground gravity and the measured ground gravity; calculate the second estimated ground gravity by the Runge-Kutta format 2, and calculate the second error between the second estimated ground gravity and the measured ground gravity; and select the smaller one from the first and second errors, use the corresponding Runge-Kutta format as the Runge-Kutta format for gravity conversion, and finish the gravity data conversion using the mentioned Runge-Kutta format.

Abstract: An in-situ stress measurement method is provided. The method includes measuring a length of a maximum diameter at which an amount of distortion relative to a diameter of a standard circle of a measurement cross section of a boring core is largest and a length of a minimum diameter at which the amount of distortion relative to the diameter of the standard circle is smallest based on a shape of the measurement cross section of the boring core; measuring a length of a diameter in a vertical direction and a length of a diameter in a horizontal direction of the measurement cross section of a side-wall core acquired by hollowing ground in a well in an excavation direction thereof, based on a shape of the measurement cross section of the side-wall core; and calculating a maximum horizontal stress and a minimum horizontal stress by first and second equations.

Abstract: A method for determining and tracking an edge of first breaks is provided. The method includes obtaining seismic data associated with subsurface formations, the seismic data relating to a vibration contacting a plurality of portions of the subsurface formations, processing the seismic data to produce processed seismic data comprising one or more attributes, wherein the processed seismic data defines an edge characterizing a plurality of onset times, iteratively performing, using a level sets algorithm, a plurality of tracking operations on the processed seismic data to identify the edge characterizing a plurality of first breaks' onset times, and determining the edge as first breaks.