Abstract: The communication system according to one embodiment for an elevator comprises a bus controller and a plurality of bus nodes. The bus controller periodically sends requests to all bus nodes and receives the responses from the bus nodes. The bus nodes receive requests from the bus controller and send responses to the bus nodes. The bus controller is designed to select a group of bus nodes for each of its requests and to wait for the responses of these bus nodes between two requests.

Abstract: Sonic fatigue analysis is provided. The method comprises developing a finite element model of a structure and calculating, from the finite element model, a number of eigenvalues representing fundamental frequencies and mode shapes for the structure. The eigenvalues are mapped to pressure loads applied to the structure in the finite element model. Frequency responses from the pressure loads are analyzed according to pressure spectral density requirements for the structure, and a critical element in the structure is identified according to the frequency responses. A frequency response function is plotted for the critical element, and an applied stress is calculated according to the frequency response function, wherein the applied stress represents total cumulative stress at the critical element.

Abstract: A system for guiding a drill assembly boring the Earth can include a drill controller engine that receives parameters characterizing sensor data from a plurality of sensors of the drill assembly, and a condition of the drill assembly. The parameters and condition can be aggregated into a historical record. A subset of the parameters can be selected based on a relationship between the subset of parameters and the condition of the drill assembly, the relationship being determined by a drill assembly machine learning model. A Damage Index (DI) can be calculated from the subset of parameters. The DI can be matched with a plurality of DIs computed for the historical record to determine a risk of failure of the drill assembly. The drilling operations of the drill assembly can be adjusted by the drill controller engine in response to the risk of failure.

Abstract: A computer-implemented method of providing access to interferometric system data stored in a data repository. A query that includes a data parameter identifier is received. The data repository is accessed and the interferometric system data is stored in the data repository using a data structure that has one or more data parameter arrays and one or more corresponding data group members. Each data group member includes one or more data arrays each associated with a data parameter in the corresponding data parameter array. Using the data parameter identifier, one or more target data parameters are determined from among the one or more data parameter arrays. One or more target data arrays that correspond to the one or more target data parameters are determined from among the one or more data arrays. The interferometric system data, which is in the one or more target data arrays, is extracted.

Abstract: Receiver-consistent scalars of seismic receiver channels are used for time-lapse monitoring of a sub-surface earth formation. Signals are induced by seismic waves propagating through the earth formation adjacent to each respective seismic receiver channel. Each seismic receiver channel is acoustically coupled to the earth formation as present directly adjacent to the location of the seismic receiver channel in question. The base receiver-consistent scalars and the monitor receiver-consistent scalars of seismic receiver channels can be outputted to reveal changes in these receiver-consistent scalars. These changes can be used to delineate information about physical changes in the subsurface earth formation. The changes in the based receiver-consistent scalars and the monitor receiver-consistent scalars may be displayed visually.

Abstract: A system for evaluating the flow of pressurized fluid flowing through perforation clusters in a wellbore casing of a hydraulic fracturing wellbore. The system can temporarily increase an intensity of acoustic emissions produced by the pressurized fluid flowing through the perforation clusters and can employ an optical fiber-based acoustic sensing system disposed on or in a monitoring well residing in the formation but remotely from the hydraulic fracturing well to measure the acoustic emissions while the intensity of the acoustic emissions is temporarily increased. The measured acoustic emissions can be converted into a total flow rate of the pressurized fluid flowing through the perforation clusters, which can in turn be used to calculate a cluster level uniformity index for the hydraulic fracturing well.

Abstract: The embodiments of the present disclosure provide methods and systems for energy measuring based on natural gas data of a smart gas meter, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: A method for generating a three-dimensional geomechanical model of a subsurface volume is provided. The geomechanical model may be used to predict changes in geomechanical stress in the grid (such as a three-dimensional unstructured grid), which may be caused by extraction from or injection into the reservoir. The geomechanical model may be generated by solving, in combination, the finite element method at the vertices of a respective cell in the grid for momentum balance and the finite volume method at the center of the respective cell for mass balance. In this way, one or both of rock displacement or pore flow may be solved using the geomechanical model.

Abstract: A method and system estimates an influx profile for at least one well fluid from a reservoir to a producing petroleum well with two or more influx zones or influx locations to a production flow. The method includes installing at least one tracer source with distinct tracer materials in known levels of the well and transporting tracer molecules from the tracer sources in the well into the reservoir. The method also includes inducing production flow in the well from the reservoir into the well, collecting samples downstream of the two or more influx zones at known sampling times and analyzing samples for concentration and type of tracer material from said possible tracer sources. The contribution of flow from the two or more influx zones may be calculated based on the analyzed tracer concentrations.

Abstract: A system can include a processor; memory operatively coupled to the processor; and processor-executable instructions stored in the memory to instruct the system to: receive a marker on a well log for a well in a geographic region; and iteratively propagate the marker automatically to a plurality of well logs for other wells in the geographic region.

Abstract: A method for automatically determining whether an operator carried out a first operation on an asset positioned at a location includes the steps of installing a camera module at the location to observe the asset, sending image data from the camera module to an analytics center, processing the image data to automatically determine the identity of the operator or changes at the location resulting from the first operation, developing an event signature based on the image data, wherein the event signature is indicative of whether the first operation on the asset took place, and verifying the status of the first operation based on the event signature. Based on the step of verifying the status of the first operation, the methods can also be configured to automatically process an invoice for the first operation or automatically command a second operation.

Abstract: A system and method for controlling multiple drilling tools inside wellbores makes use of Bayesian optimization with range constraints. A computing device samples observed values for controllable drilling parameters such as weight-on-bit, mud flow rate and drill bit rotational speed in RPM and evaluates a selected drilling parameter such a rate-of-penetration and hydraulic mechanical specific energy for the observed values using an objective function. Range constraints including the physical drilling environment and the total power available to all drilling tools within the drilling environment can be continuously learned by the computing device as the range constraints change. A Bayesian optimization, subject to the range constraints and the observed values, can produce an optimized value for the controllable drilling parameters to achieve a predicted value for the drilling parameters.

Abstract: A method to design well trajectories includes determining dogleg severity as a function of inclination, and a corresponding rate of penetration performance of the tool by a hybrid model including physical modelling and machine learning correction. The method includes solving for optimal steering parameters to predict a dogleg severity as close as possible to a desired dogleg severity at a given inclination of the trajectory, which is repeated for dogleg severity and inclination combinations of interest. The rate of penetration for feasible points is also determined and a rate of penetration (or time-to-target) map can be produced. Potential trajectories are then evaluated relative to the map to estimate drilling time-to-target, and an optimal trajectory can be selected that has a lowest time-to-target while also being feasible for the tool and optionally avoiding risks or downhole obstacles.

Abstract: A mechanical autonomous pipe cutting system for cutting a pipe in a wellbore includes a locking unit that prevents the system from moving within the pipe when engaged to an inner surface of the pipe, a punching unit that moves a plurality of punching elements radially relative to an axis of the system, and a cutting unit that is designed to sever the pipe. The locking unit, the punching unit, and the cutting unit are attached to a body of the mechanical autonomous pipe cutting system. The body includes a motor that rotates the cutting unit. The mechanical autonomous pipe cutting system further includes a sensor module that detects interactions between the pipe and walls of the wellbore and a control unit in electronic communication with the sensor module, the locking unit, and the punching unit.

Abstract: A method includes collecting a first set of borehole gravity data at a first time step along a length of a first wellbore and collecting a second set of borehole gravity data at the first time step along a length of a second wellbore. The method also includes interpolating a third set of borehole gravity data at the first time step in an area between the first wellbore and the second wellbore using the first and the second sets of borehole gravity data. Further, the method includes determining a first fluid saturation and a fluid saturation change over time in a reservoir containing the first wellbore and the second wellbore using the first set, the second set, and the third set. Moreover, the method includes controlling wellbore production operations or wellbore injection operations at the first wellbore based on the fluid saturation change.

Abstract: Aspects of the subject technology relate to systems and methods for controlling a hydraulic fracturing job. Systems and methods are provided for receiving diagnostics data of a hydraulic fracturing completion of a wellbore, accessing a fracture formation model that models formation characteristics of fractures formed through the wellbore into a formation surrounding the wellbore during the hydraulic fracture completion with respect to surface variables of the hydraulic fracturing completion, selecting one or more subsurface objective functions from a plurality of subsurface objective functions for changing one or more of the formation characteristics of the fractures, and applying the fracture formation model based on the diagnostics data to determine values of the surface variables for controlling the formation characteristics of the fractures to converge on the one or more subsurface objective functions.

Abstract: Methods and systems for drilling a well into a subsurface formation are configured for performing a downhole measurement to generate measured logging-while-drilling (LWD) data; retrieving a machine learning model that is trained using labeled LWD data, the labeled LWD data representing one or more environmental effects each causing a respective data signature in the LWD data, each respective data signature being associated with a corresponding label identifying the environmental effect; inputting the LWD data into the machine learning model; generating, by the machine learning model based on the inputting, a classification output representing at least one environmental effect represented in the LWD data; and generating, based on the classification output, corrected LWD data that removes a change to the LWD data caused by the environmental effect. The systems and methods are configured for drilling a well into the subsurface based on the corrected LWD data.

Abstract: To control hydrostatic backpressure of disposal wells connected to a disposal plant surface network, density of water to be injected from a water disposal plant system into disposal wells formed in a subterranean zone, a density of a hydrostatic backpressure-modifying additive to modify a density of the water, a target total injection flow rate of the water, and a vertical depth of a portion of the subterranean zone through which the water is to be injected are identified. Injected water flow rate upstream of an injection point into the multiple disposal wells, wellhead injection pressure needed to achieve the target total injection flow rate and a total injection rate are periodically received. Based on these parameters, dosage rate of the additive to maintain the target total injection flow rate is periodically determined. An additive quantity is injected into the water and periodically modified based on the periodically determined dosage rate.

Abstract: A method can include determining that measured outputs of first and second sensors are correlated, calculating a second sensor output based on the measured first sensor output, and in response to a loss of the measured second sensor output or a failure of an item of equipment, controlling a drilling operation based on the calculated second sensor output. A control system can include a statistical model that determines a correlation between measured outputs of first and second sensors, and calculates a calculated second sensor output based on the measured first sensor output, a controller that controls the drilling operation, and a hydraulics model that determines how the drilling operation should be controlled to achieve a desired objective, and determines, based on the calculated second sensor output, how the drilling operation should be controlled, in response to a loss of the measured second sensor output or an equipment failure.

Abstract: Devices and techniques related to landfill gas extraction are disclosed. A technique for controlling extraction of landfill gas from a landfill through a gas extraction system is described. The method may include measuring a plurality of values indicating conditions associated with the landfill; computing, based at least in part on the plurality of values and on a model of the landfill, a predicted future state of the landfill; determining, based at least in part on the predicted future state of the landfill, one or more control parameters for one or more respective control devices configured to control operation of the gas extraction system; applying the one or more control parameters to the one or more respective control, and with the one or more control devices, controlling extraction of the landfill gas from the landfill based, at least in part, on the one or more respective control parameters.

Abstract: A method and a system for well log data quality control is disclosed. The method includes obtaining a well log data regarding a geological region of interest, verifying an integrity and a quality of the well log data, determining the quality of the well log data based on a quality score of the well log data and making a determination regarding the access to the databases based on the quality of data. Additionally, the method includes performing the statistical analysis and the classification of well log data, a predictive and a prescriptive analysis of trends and predictions of the well log data, and generating an action plan for datasets with unsatisfactory quality scores.

Abstract: An interlock between a drawworks and a blowout preventer includes a sensor for sensing a position of the blowout preventer. An interlock signal is generated by the sensor, and the interlock signal is reflective of the position of the blowout preventer. A lock operably connected to the drawworks receives the interlock signal and disables operation of the drawworks if the interlock signal meets a predetermined criterion. A method for operating a drill rig includes operating a drawworks to raise and lower a drill string and operating a blowout preventer. The method further includes sensing a position of the blowout preventer and generating an interlock signal that reflects the position of the blowout preventer. The method further includes comparing the interlock signal to a predetermined criterion and disabling the drawworks if the interlock signal meets the predetermined criterion.

Abstract: Examples described herein provide a computer-implemented method that includes analyzing a first dataset by applying the first dataset to a first model to generate a first result. The method further includes analyzing a second dataset by applying the second dataset to a second model to generate a second result. The method further includes performing validation on the first model and the second model by comparing the first result to the second result. The method further includes, responsive to determining that the first result and the second result match, modifying an operational action of a surface assembly based on at least one of the first result or the second result. The method further includes, responsive to determining that the first result and the second result do not match, updating at least one of the first model or the second model.

Abstract: The present disclosure provides a method and system for gas leakage safety warning based on Internet of Things (IoT) of smart gas. The method is implemented by a smart gas safety management platform of an IoT system for gas leakage safety warning. The method comprises obtaining gas data. The gas data at least includes gas operation data and gas concentration data. The method also includes determining a gas determination scenario through a preset determination algorithm based on the gas data, and determining a dynamic threshold set based on the gas data and the gas determination scenario. The dynamic threshold set includes a dynamic threshold of a gas concentration change of at least one time point. The method further includes determining gas leakage warning information of the at least one time point based on the gas data, the gas determination scenario, and the dynamic threshold set.

Abstract: A method is provided for remote monitoring, decision making and operation of one or more parameters of on-site well operation equipment. The method includes collecting data corresponding to the at least one parameter by one or more on-site sensor modules assigned to the equipment for monitoring joint make-up of tubing and casing connections; transmitting the collected data to an on-site make-up monitoring system; transmitting said collected data from the on-site make-up monitoring system to a cloud or edge-based system for storage, display and analysis; accessing collected day by one or more users via one or more dedicated remote portals for review or analysis; and transmitting instructions from any one or more users via the remote portal and cloud or edge-based system back to the on-site make-up monitoring system for modifying the operation of the equipment within predefined limits.

Abstract: Systems and methods include a computer-implemented method for displaying well information. Geological boundaries are identified for a group of multiple wells in a region including a reference well. Each well has geological boundaries at depths different from boundaries in the reference well. A framework of the geological boundaries of the reference well multiple wells is treated as a set of datums for shifting pressures relative to the reference well. Geological boundaries of the group of multiple wells are matched, including identifying tops and bases of geological layers for each well. Depth shifts for depths having corresponding pressure data are determined. The depth shifts are redatumed based on differences in depth of the geological layers of each well. A display of a graph is presented in a graphical user interface (GUI). The graph maps pressures of the group of multiple wells at different depths and based on redatuming of each well.

Abstract: A method is presented wherein inversion for formation anisotropic constants is achieved using borehole sonic data.

Abstract: Aspects of the present disclosure relate to projecting control parameters of equipment associated with forming a wellbore, stimulating the wellbore, or producing fluid from the wellbore. A system includes the equipment and a computing device. The computing device is operable to project a control parameter value of the equipment using an equipment control process, and to receive confirmation that the projected control parameter value is within an allowable operating range. The computing device is also operable to adjust the equipment control process based on the confirmation, and to control the equipment to operate at the projected control parameter value. Further, the computing device is operable to receive real-time data associated with the forming of the wellbore, the stimulating of the wellbore, or the producing fluid from the wellbore. Furthermore, the computing device is operable to adjust the equipment control process based on the real-time data.

Abstract: A computer-implemented method, medium, and system for converting borehole images into three dimensional structures for numerical modeling and simulation applications are disclosed. In one computer-implemented method, multiple CT-scan images of a core sample of a rock are received, where the core sample includes a borehole, and the multiple CT-scan images are cross-section images of the core sample at multiple depths of the borehole. A triangulation process is performed on pixels of each CT-scan image and with respect to each of multiple circumferential position angles. Multiple radii of the borehole corresponding to the multiple circumferential position angles are determined for each CT-scan image. Multiple nodal coordinates of 3D numerical model mesh of the borehole are generated based on the multiple radii of the borehole. An advisory on drilling window limits of mud weight is provided based on the multiple nodal coordinates of the 3D numerical model mesh of the borehole.

Abstract: A method for predicting oil flow rates is provided. The method includes accessing historical data from a plurality of databases, accessing historical perforation data and historical reservoir properties data from a simulation model, and determining fluid flow values and rock quality index values associated with perforated intervals of the plurality of wells. The method further includes corresponding the fluid flow values and rock quality values to the well production data, training, using the plurality of input values, a machine learning model for predicting oil flow values at perforated intervals of a plurality of target wells, predicting, using the trained machine learning model, the oil flow values at the perforated intervals of the plurality of target wells, and generating a synthetic production log that includes the predicted oil flow values at the perforated intervals of the plurality of target wells.

Abstract: Provided are techniques for generating and validating facies logs for a horizontal wellbore, including: obtaining facies data for a subsurface formation, including vertical wellbore core data and wireline log data; determining (based on the facies data) a depositional model; determining (based on the facies data) a facies model of a horizontal portion of a wellbore in an target interval of the formation, including a predicted facies log; determining (based on the depositional model) a facies thickness mapping; determining for different locations within the formation (based on a comparison of the predicted facies log and the facies thickness mapping), a discrepancy between the facies of the predicted facies log and the facies thickness mapping for the location; and for locations of a discrepancy, modifying the predicted facies for the location based on the facies indicated for location by the facies thickness mapping, to generate a modified predicted facies log.

Abstract: Examples described herein provide a computer-implemented method that includes analyzing a first dataset by applying the first dataset to a first model to generate a first result. The method further includes analyzing a second dataset by applying the second dataset to a second model to generate a second result. The method further includes performing validation on the first model and the second model by comparing the first result to the second result. The method further includes, responsive to determining that the first result and the second result match, modifying an operational action of a surface assembly based on at least one of the first result or the second result. The method further includes, responsive to determining that the first result and the second result do not match, updating at least one of the first model or the second model.

Abstract: A system includes a first wellbore operation controller for controlling a wellbore operation and generating a first broadcast indicating a first data topic desired for controlling the wellbore operation. The system also includes a second wellbore operation controller for generating a data stream associated with a wellbore and for generating a second broadcast indicating a second data topic that promotes the data stream. The system includes a mediator computing device that receives the first broadcast and the second broadcast and determines that the first wellbore operation controller is subscribed to the data stream by comparing the first data topic to the second data topic. In response to determining that the first wellbore operation controller is subscribed to the data stream, the mediator computing device creates a data link between the first wellbore operation controller and the second wellbore operation controller.

Abstract: A wellbore pumping unit comprising a main pump, a power source, a controller, and a plurality of sensors is provided. A method of performing a diagnostic check of the unit controller and the plurality of sensors when power is applied to the unit controller. A diagnostic application executing in memory writes a status of the plurality of analog inputs of a plurality of valve position sensors, a status of a plurality of frequency inputs of a plurality of flowmeters, and a plurality of calibration data files that correlate to a plurality of sensors to a diagnostic report file. The status of the sensor inputs and calibration data files can be a pass or a fail. The status of the sensor inputs can be displayed on a human machine interface.

Abstract: Systems and methods include a method for aggregating source data to form ontological frameworks. Aggregation functions are defined for ontological frameworks modeling categories of components of a facility. Each aggregation function defines a target component selected from a Things category, an Events category, and a Methods category. Defining the target component includes aggregating information from one or more components selected from one or more of the Things category, the Events category, and the Methods category. Source data is received in real-time from disparate sources and in disparate formats. The source data provides information about the components of the facility and external systems with which the facility interacts. Using the aggregation functions, the source data is aggregated to form the ontological frameworks. Each ontological framework models a component of the Things category, a component of the a Events category, or a component of the Methods category.

Abstract: A method may comprise forming a data matrix, extracting chromatographs of a mud filtrate and a formation fluid, extracting concentration profiles of the mud filtrate and the formation fluid, and decomposing a data set on an information handling machine using a bilinear model. A system may comprise a downhole fluid sampling tool and an information handling tool. The downhole fluid sampling tool may comprise one or more multi-chamber sections, one or more fluid module sections, one or more gas chromatographers, wherein the one or more gas chromatographers are disposed in the one or more fluid module sections, and an information handling system.

Abstract: Temperature data collected from a distributed temperature sensing system may be used to prepare a temporal thermal profile of the wellbore. The temporal thermal profile may be used to determine a generalized heat transfer coefficient (k) and/or a generalized geothermal profile (Tae). The temporal thermal profile and the generalized heat transfer coefficient (k) and/or the generalized geothermal profile (Tae) may be used to estimate thermal properties of a wellbore, such as well as fluid and flow characteristics. A heat of hydration index may also be determined based on the temporal thermal profile.

Abstract: Embodiments of the disclosure include a casing installation monitoring system that monitors surface equipment (that is, equipment of a rig), provides information on casing installation operations (for example, hook load, torque, RPM, and cumulative fatigue) at various times and depths, provides initial casing installation guidelines, and provides alarms before and during the casing installation operation.

Abstract: A method for controlling a rotary steerable system (RSS) may comprise disposing the RSS into a borehole, storing a curvature for the borehole into an information handling system, storing one or more steering commands in the information handling system, taking a first attitude measurement at a first sensor and a second sensor disposed on the RSS at a first location in the borehole, and calculating a first relative attitude from the first attitude measurement at the first sensor and the second sensor. The method may further comprise taking a second attitude measurement at the first sensor and the second sensor disposed on the RSS at the second location in the borehole, calculating a second relative attitude from the second attitude measurement at the first sensor and the second sensor, and comparing the first relative attitude to the second relative attitude to find a difference.

Abstract: Sonic logging data including a sonic waveform associated with a plurality of shot gathers is accessed. A transformation operator is applied to the sonic logging data to provide a transformed sonic image, the transformation operator including at least one of a short time average long time average (STA/LTA) operator, a phase shift operator, and a deconvolution operator. A machine learning process is performed using the transformed sonic image to determine a sonic slowness associated with the sonic logging data. The sonic slowness is provided as an output.

Abstract: The present disclosure relates to a seismic imaging free gas structure identification method and system. The method includes: acquiring a seismic imaging dataset, and annotating free gas structures in the seismic imaging sample data set to obtain a training dataset; using a generative adversarial network (GAN) to expand the training dataset for network training, wherein the GAN includes a generative network and a discrimination network; conducting domain conversion on original label data of the free gas training samples to obtain annotating labels; training a Bayesian neural network according to the free gas training datasets and labels, to obtain a free gas structure identification model; acquiring actual seismic imaging data of a target work area; and conducting, according to the actual seismic imaging data, identification by using the free gas structure identification model.

Abstract: A method may comprise identifying one or more pressure dissipation mechanisms that drop pressure within a fluid handling system, identifying one or more open flowpath elements, performing a matching algorithm with an information handling system, and initializing the matching algorithm with an estimate of a coefficient. A system may comprise a fluid handling system and an information handling system. The fluid handling system may comprise a fluid supply vessel, wherein the fluid supply vessel is disposed on a surface, pumping equipment, wherein the pumping equipment is attached to the fluid supply vessel and disposed on the surface; a wellbore supply conduit, wherein the wellbore supply conduit is attached to the pumping equipment and disposed in a formation, and a flowpath element, wherein the flowpath element fluidly couples the wellbore supply conduit to the formation.

Abstract: Methods for determining properties of a media on an exterior of a casing in downhole systems are described. The methods include conveying a logging tool through a casing in a downhole formation, stimulating shear waves and flexural waves in the casing, obtaining a shear attenuation rate measurement and a flexural attenuation rate measurement within the casing responsive to the media on the exterior of the casing, comparing the measured shear attenuation rate and the measured flexural attenuation rate against a plurality of respective division boundary values, and determining one or more properties of the media on the exterior of the casing based on the comparison of the measured shear attenuation rate and the measured flexural attenuation rate against the plurality of respective interfaces.

Abstract: A method may include determining a stuck pipe event in a well operation for a well. The method may further include obtaining well data regarding the well operation and stuck pipe data regarding the stuck pipe event. The method may further include determining, using the well data and the stuck pipe data, a diagnostic action for the stuck pipe event. The method may further include transmitting a command to a stuck pipe adapter to perform the diagnostic action. The stuck pipe adapter may be a substitute adapter for a drill string or a work string in the well. The method may further include obtaining diagnostic data regarding the stuck pipe event in response to the stuck pipe adapter performing the diagnostic action. The method may further include determining a predicted location in the well of the stuck pipe event based on the diagnostic data and a machine-learning algorithm.

Abstract: A movement space information processing system includes moving bodies and an information processing device. The information processing device determines one or more moving bodies that are movably located within a predetermined movement range in the space from the moving bodies, and performs an identification task of identifying, from the determined one or more moving bodies, at least one moving body to accordingly perform a setting task of setting the identified at least one moving body as the at least one representative moving body. At least one moving body identified as the at least one representative moving body acquires an image of the space and extracts, from the image, probe information related to the space. The information processing transmits device The moving-body information item including the probe information and performs development of the spatial information based on the probe information.

Abstract: A system for managing proppant inventory includes a plurality of silos, each silo having a sensor to sense a proppant level of proppant stored therein. The system also determines an amount of proppant that is expected to become available, and automatically creates and sends an order to request additional proppant upon determining that the combination of the proppant level within the at least one of the plurality of silos and the amount of proppant that is expected to become available is less than a predetermined threshold or expected to fall below the predetermined threshold. The system also automatically selects one or more of the plurality of silos to unload the additional proppant into based upon the proppant level in each of the plurality of silos at the time of unloading the additional proppant and at least one of a user preference parameter or historical data from a previous operation.

Abstract: Embodiments of a system, controller, and method for operating a plurality of pumps for a turbine driven fracturing pump system used in hydraulic fracturing are disclosed. In an embodiment, a method of operating a plurality of pumps associated with a hydraulic fracturing system includes receiving a demand Hydraulic Horse Power (HHP) signal. The demand HHP signal may include the Horse Power (HP) required for the hydraulic fracturing system to operate and may include consideration for frictional and other losses. The method further includes operating available pump units at a percentage of rating below Maximum Continuous Power (MCP) level, based at least in part on the demand HHP signal. Furthermore, the method may include receiving a signal for loss of power from one or more pump units. The method further includes operating one or more units at MCP level and operating one or more pump units at Maximum Intermittent Power (MIP) level to meet the demand HHP signal.

Abstract: Centrally optimizing production of a reservoir that has a plurality of wells comprises monitoring production of each well in the reservoir using one or more respective sensors at each well. Sensor data indicative of the monitored production of each well from the one or more respective sensors is input to a central processing device for processing to evaluate the production of each well. The production of each well is evaluated to identify opportunities for optimizing production by the plurality of wells in the reservoir. In addition, one or more actions are taken using the central processing device to optimize production by the plurality of wells based on the identified opportunities for optimizing production.

Abstract: A transmission system comprising a tool comprising an annular groove. An inductive coupler comprising a housing disposed within the annular groove, and an annular MCEI trough within the housing. An annular coil wire being laid within the annular MCEI trough; the coil wire being connected to coaxial cable within the tool. The coaxial cable comprising a mesh reinforced polymeric composite dialectic material intermediate a center electrical conductor and an outer electrically conducting sheath. The dialectic material comprising MCEI fibers in sufficient volume to capture an electromagnetic field surrounding the center conductor and shield a signal being transmitted along the center conductor from outside electromagnetic interference. The center conductor may run through MCEI mesh reinforced beads embedded within the dialectic material. The coaxial cable may extend within the tool or to the opposite end of the tool with the center conductor being connected to a similarly configured inductive coupler.

Abstract: The present invention relates to a multi-capillary force curve averaging method based on the overall virtual measurement of a plurality of samples. The method includes the following steps: 1, taking m types of rock samples, obtaining a capillary force-saturation curve, an apparent volume and a porosity of each sample; 2, inspecting the quality of the capillary force-saturation curve of each sample and preprocessing the end points of each curve; 3, calculating an averaged wet phase saturation corresponding to different capillary force values of the plurality of samples under the overall virtual measurement of a plurality of samples; and 4, denoting data points on a graph by using the wet phase saturation as the abscissa and capillary force as the ordinate, and finally connecting all data points smoothly to obtain the averaged capillary force curve.