Abstract: A device for determining an error probability value for a transformer component, including a signal input interface, a processor unit, and a storage unit, wherein the signal input interface is configured for direct or indirect coupling to a measurement system for a power transformer, the measurement system having multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, the power transformer having multiple transformer components, and each sensor being coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, wherein the physical and/or chemical property of the power transformer recorded by the respective sensor is influenced by at least one of the transformer components, wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables.

Abstract: A method for drilling a subterranean wellbore includes rotating a drill string in the wellbore to drill. The drill string includes a roll-stabilized housing deployed in a drill collar and survey sensors deployed in the roll-stabilized housing. Sensor measurements are acquired while the drill string is rotating. High bandwidth accelerometer measurements may be obtained by combining triaxial accelerometer measurements and gyroscopic sensor measurements. Survey parameters, including a wellbore azimuth, may be computed from the high bandwidth accelerometer measurements. Triaxial magnetometer measurements may be processed to compute an eddy current induced wellbore azimuth error which may be removed from a previously computed wellbore azimuth to obtain a corrected wellbore azimuth.

Abstract: A method includes determining, by an analysis system, a system aspect of a system for an issue recovery improvement evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective and at least one evaluation viewpoint for use in performing the issue recovery improvement evaluation on the system aspect. The method further includes obtaining, by the analysis system, issue recovery improvement data regarding the system aspect in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, an issue recovery improvement rating as a measure of system issue recovery improvement maturity for the system aspect based on the issue recovery improvement data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: A method can include receiving block position data of a rig prior to addition of a length of pipe to a drillstring, where the drillstring is disposed at least in part in a borehole and supported by the rig; receiving block position data of the rig after addition of the length of pipe to the drillstring; and controlling position of the drillstring with respect to time using the rig and at least a portion of the block position data for landing a drill bit of the drillstring on a bottom of the borehole.

Abstract: The accuracy of directional surveys may be improved using accelerometers, magnetometers, or both. A control system containing accelerometers is configured specifically to correct errors in bias and gain of each accelerometer by requiring the measured field strengths to be as constant as possible over several tool face angles over multiple points in a wellbore, even when all measurements are within a tangent or lateral section of a wellbore. Corrections for the bias and gain errors determined based on one or more measurements from the accelerometers are applied to measurements at other survey points to improve the accuracy of surveys and the efficiency of drilling operations.

Abstract: Systems and methods of estimating well parameters are disclosed. In one embodiment, a method of estimating well parameters includes receiving a plurality of wells, each well defined by a plurality of well attributes, receiving a plurality of historic wells, each historic well of the plurality of historic wells defined by a plurality of historic well attributes, and comparing the plurality of well attributes of the plurality of wells with the plurality of historic well attributes of the plurality of historic wells. The method further includes selecting one or more matched historic wells based at least in part on a similarity between the plurality of well attributes for an individual well with the plurality of historic well attributes of the one or more matched historic wells, and calculating one or more well parameters based at least in part on the one or more matched historic wells.

Abstract: A method for determining a hydrocarbon concentration from drilling fluid includes pumping the drilling fluid into a wellbore and circulating a sample of the drilling fluid uphole from the wellbore so that ?13C isotopic signatures can be determined for one or more hydrocarbon components and for methane in the sample where the methane includes natural methane originating from the earth formation and artificially-produced methane caused by drill bit metamorphism (DBM). A processor is adapted to determine the concentration of the natural methane in the sample based in part on the ?13C isotopic signatures which may be performed during the drilling of the wellbore.

Abstract: A system for automatic in-situ gas lifting of fluid in a multilateral well may include a plurality of downhole sensors arranged to periodically capture pressure data associated with the multilateral well is disclosed. The system may include a processor operatively connected to the downhole sensors and configured to dynamically determine a pressure gradient value associated with the multilateral well based on the periodically captured pressure data. The system may include a first inflow control valve (ICV) operatively connected to the processor and placed within a first lateral to automatically control a flow of a gas from a downhole natural gas source into the multilateral well based on the dynamically determined pressure gradient, and to cause a lift of the fluid received from a second lateral within the well when the ICV is open.

Abstract: A downhole drilling system for drilling a wellbore through a subterranean formation and a method of obtaining data from a downhole location. A bottom hole assembly (BHA) is locatable in the wellbore. A gravity sensor is operable to measure the Earth's gravity local to the BHA in three gravity vector coordinates. A magnetic sensor is operable to measure a magnetic field local to the BHA in three magnetic vector coordinates. A downhole processor is locatable in the borehole and operable to, if the gravity or magnetic measurements are not taken at a selected orientation of the BHA, process the measurements downhole by rotating the measured gravity and the measured magnetic field around the z-axis to align a gravity vector or a magnetic vector with the selected orientation of the BHA.

Abstract: Systems and methods for predicting drilling tool failure based on an analysis of at least one of a plot of jerk and inverse jerk for the drilling tool and a plot of drilling tool failure pattern trends data.

Abstract: A system, method, and computer-readable medium for generating synthetic data are described. Improved data models for databases may be achieved by improving the quality of synthetic data upon for modeling those databases. According to some aspects, these and other benefits may be achieved by using numeric distribution information in a schema describing one or more numeric fields and, based on that schema, distribution-appropriate numerical data may be generated. The schema may be compared against actual data and the schema adjusted to more closely match the actual data. In implementation, this may be effected by storing a schema with distribution information and/or one or more parameters, generating synthetic numerical data based on the schema, and, based on a comparison with actual data, modify the schema until the synthetic data is statistically similar to the actual data. A benefit may include improved database performance and indexing based on repeatable, statistically appropriate, synthetic data.

Abstract: In an embodiment, a method is performed by a computer system. The method includes integrating a series of data inputs related to a well. The series of data inputs includes at least one real-time data input and at least one non-real-time data input. The method further includes based, at least in part, on a result of the integrating, facilitating a real-time display of performance data for the well. The real-time display includes information related to at least one of hydraulic surveillance and torque-and-drag surveillance.

Abstract: An apparatus for improving the safety and efficiency of underground mining by issuing intelligent warnings of impending coal or rock dynamic disasters includes at least one coal or rock charge probe adaptable to a coal or rock face and configured to detect charge data generated by coal or rock cracking during a mining process, and a monitoring host electrically connected to the coal or rock charge probe and configured to receive the charge data and issue a warning of an impending coal or rock dynamic disaster when warranted by the charge data. In embodiments, the apparatus includes a plurality of channels, and is non-contacting and/or portable.

Abstract: Downhole telemetry systems and related methods adaptively compensate for channel non-linearity effects. To compensate for channel non-linearity, the optimum signal generation parameters are determined that produce the desired modulated pressure variation at the surface. The signal generation parameters are optimized to minimize the discrepancy between the surface detected pressure signal and the intended signal. The mud propagation channel is first estimated in light of the known modulation scheme under an ideal linear-time-invariant channel assumption. The estimated channel is used to synthesize the modulated pressure signal undergoing the mud propagation given the initial signal generation parameters. The method then varies the synthesized signal generation parameters to search for the optimal signal generation parameters. The optimal signal generation parameters are then sent over downlink channel to the downhole pulser, which is ultimately used to generate the pulse waveform.

Abstract: A system for measuring fluid flow in a wellbore is provided. A probe includes at least a heater. A fiber optic cable is connected to the probe. The system is programmed to perform operations including: changing an output of the heater to thereby change a temperature of drilling fluid moving over a fiber optic cable; measuring a strain on the fiber optic cable caused by changing the temperature of the drilling fluid; preliminarily determining a velocity of the drilling fluid from the measured strain; measuring at least a second parameter of the drilling fluid; adjusting the preliminary determined velocity based on the measured at least a second parameter to yield an adjusted velocity; and determining a flow rate of the drilling fluid based on the adjusted velocity.

Abstract: A supervisory control system for a well construction rig operable to perform well construction operations to construct a planned well at a wellsite. The supervisory control system may be installable in association with the well construction rig. The supervisory control system may comprise a supervisory controller communicatively connectable with a central controller of a rig control system of the well construction rig. The rig control system may be communicatively connected with and operable to control well construction equipment of the well construction rig. The supervisory controller may be operable to control the well construction equipment via the rig control system to cause the well construction equipment to perform the well construction operations. The central controller may be operable as an I/O interface for matching inputs and outputs of the supervisory controller with corresponding inputs and outputs of at least one piece of the well construction equipment.

Abstract: A method can include receiving information that includes well trajectory information, wellsite equipment information and driller information; based at least in part on the information, determining a level of detail of human executable well plan instructions; based at least in part on the information, generating a well plan where the well plan includes human executable well plan instructions based on the determined level of detail; and outputting the well plan.

Abstract: Methods for determination of elastic properties of geological formations using machine learning include extracting a first feature vector from data acquired during drilling. The data includes at least drilling parameters. The first feature vector is indicative of a drilling environment classification. A machine learning classification algorithm determines the drilling environment classification based on the first feature vector. A machine learning regression algorithm is selected from multiple machine learning regression algorithms based on the drilling classification. A second feature vector is extracted from the data acquired during drilling based on the drilling classification and the selected machine learning regression algorithm. The second feature vector is indicative of elastic properties of a geological formation. The selected machine learning regression algorithm determines the elastic properties of the geological formation based on the second feature vector.

Abstract: Drilling machine (1) comprising: a supporting structure (3); a drilling string (12); a drilling head (11); a flexible tensile element (17); a moving device (21), mechanically connected to the supporting structure (3) and mechanically associated with the flexible tensile element (17) to hold and move the drilling string (12); at least one first electric motor (22) configured to, in a first operating mode, actuate the moving device (21) so as to lift the drilling string (12), and configured to, in a second operating mode, apply a braking mechanical power on the moving device (21) so as to brake in a controlled manner the lowering of the drilling string (12) to reach and maintain a desired controlled lowering speed (Vd), the at least one first electric motor (22) being also configured to produce an electric power (Pmot); a first bidirectional electric power converter device (23) configured to convert the electric power produced (Pmot) into converted electric power (Pregen); an electric energy transmission networ

Abstract: A method includes selecting a model for a simulation of hydrocarbon recovery from a reservoir having a plurality of fractures during injection of an injected gas into the plurality of fractures. Selecting the model includes determining a flux ratio of a convection rate to a diffusion rate for the reservoir, determining whether the flux ratio is less than a threshold, and in response to the flux ratio being less than the threshold, selecting the model that includes diffusion. Selecting the model includes performing the simulation of the hydrocarbon recovery from the reservoir based on the model.

Abstract: A method and system to drill a wellbore and identify drill bit failure by deconvoluting sensor data. The method comprises drilling the wellbore using a drill bit; and measuring data indicative of a parameter associated with the drill bit using a sensor located in the wellbore. The method also comprises decomposing the data to generate an intrinsic mode function of the drill bit data; and analyzing the intrinsic mode function to identify a drill bit failure. The system for drilling the wellbore comprises a drill bit; a sensor; and a processor. The sensor is located in the wellbore and operable to measure data indicative of a parameter associated with the drill bit. The processor is in communication with the sensor and operable to decompose the data to generate an intrinsic mode function of the drill bit data; and analyze the intrinsic mode function to identify a drill bit failure.

Abstract: A device and method used to image wells and other fluid-carrying tubulars having localized features of interest. The device scans large areas of the tubular first in a low-resolution mode, then identifies areas that contain those localized features with some probability. The device images the identified areas in a high-resolution mode and stores the images for further image processing. The device may comprise two sensors axially spaced-apart on the device, which sensors may be electromagnetic, acoustic, or cameras.

Abstract: The present application provides a soil-rock fault simulation device, comprising a base, a support arm, a first box body and a second box body; the first box body is movably mounted on the support arm and moves in a left and right direction to facilitate the movement of the first box body relative to the second box body in the left and right direction; the first box body moves in a forward and backward direction relative to the second box body as the support arm moves in a forward and backward direction relative to the base, and the first soil-rock in the first soil-rock space forms a forward-backward direction fault as the first box body moves in a forward and backward direction relative to the second box body; the fault simulation effect of soil-rock fault simulation device is improved.

Abstract: A system for measuring drilling and completion operational parameters in a tubular handling system is provided.

Abstract: A method of evaluating fluid sensitivity of a water-based muds on a shale rock. The method includes providing a sample of the shale rock from a portion of a formation, where the portion of the formation is positioned outside of a reservoir region. The sample of the shale rock is separated into a first portion and a second portion. The first portion is subjected to a UCS test for detecting a first uniaxial compressive strength (UCS) value (UCSo). The second portion is converted into a prepared sample utilizing a test preparation procedure. The prepared sample is subjected to the UCS test for detecting a second UCS value (UCS1). A fluid sensitivity index (FSI) is determined utilizing the detected UCS0 and USC1 values.

Abstract: This disclosure presents a process for communications in a borehole containing a fluid or drilling mud, where a conventional mud pulser can be utilized to transmit data to a transducer. The transducer, or a communicatively coupled computing system, can perform pre-processing steps to correct the received data using an average of a moving time window of the received data, and then normalize the corrected data. The corrected data can then be utilized as inputs into a machine learning mud pulse recognition network where the data can be classified and an ideal or clean pulse waveform can be overlaid the corrected data. The overlay and the corrected data can be fed into a conventional decoder or decoded by the disclosed process. The decoded data can then be communicated to another system and used as inputs, such as to a well site controller to enable adjustments to well site operation parameters.

Abstract: In one embodiment, a method includes facilitating a real-time display of drilling-performance data for a current well. The method further includes receiving new channel data for the current well from a wellsite computer system. The method also retrieving input data including historical drilling-performance data for an offset well relative to the current well. In addition, the method includes computing calculated data for the current well based on the channel data and the input data. Moreover, the method includes updating the real-time display with the calculated data.

Abstract: A disclosed vibration monitoring method includes: processing sensor information downhole to detect one or more vibration modes; responsively updating a vibration mode state machine; communicating a current machine state to an uphole module; deriving from said current machine state at least a primary vibration mode and associated severity; and modifying at least one drilling parameter if the severity exceeds a threshold. A disclosed drilling system implementation includes: a drill string; a rig or other deployment device that conveys the drill string into a borehole using at least one controllable drilling parameter; one or more downhole sensors providing vibration-related signals; a downhole processor that operates on the vibration-related signals to detect one or more vibration modes and responsively updates a vibration mode state machine; and an uphole module that receives the current state from the downhole processor and derives from the current state at least a primary vibration mode and severity.

Abstract: A method for using a mud motor may comprise drilling a borehole into a formation using a drill string connected to the mud motor and the mud motor is connected to a drill bit, measuring one or more parameters of the mud motor in the borehole, and sending the one or more parameters to surface. A system may comprise a mud motor connected to a drill string, a drill bit connected to the mud motor, a strain gauge, and in information handling system. The strain gauge may be connected to the drill bit and configured to take one or more parameters of the mud motor. The information handling system may be in communication with the strain gauge and configured to record the one or more parameters from the strain gauge.

Abstract: A residual estimation with an I/O kernel (“RIO”) framework provides estimates of predictive uncertainty of neural networks, and reduces their point-prediction errors. The process captures neural network (“NN”) behavior by estimating their residuals with an I/O kernel using a modified Gaussian process (“GP”). RIO is applicable to real-world problems, and, by using a sparse GP approximation, scales well to large datasets. RIO can be applied directly to any pretrained NNs without modifications to model architecture or training pipeline.

Abstract: The subject disclosure provides for a mechanism implemented with neural networks through machine learning to predict wear and relative performance metrics for performing repairs on drill bits in a next repair cycle, which can improve decision making by drill bit repair model engines, drill bit design, and help reduce the cost of drill bit repairs. The machine learning mechanism includes obtaining drill bit data from different data sources and integrating the drill bit data from each of the data sources into an integrated dataset. The integrated dataset is pre-processed to filter out outliers. The filtered dataset is applied to a neural network to build a machine learning based model and extract features that indicate significant parameters affecting wear. A repair type prediction is determined with the applied machine learning based model and is provided as a signal for facilitating a drill bit operation on a cutter of the drill bit.

Abstract: A stick-slip vibration mitigation system and a method of using the system are provided. The system includes a sensor, a processor, a non-transitory storage medium, and a controller. The system is operable to be used with a drill-string in a wellbore during a drilling process to mitigate stick-slip vibration of the drill-string.

Abstract: Some implementations of the present disclosure provide a computer-implemented method that includes: accessing measurement data obtained from a drilling operation, wherein the measurement data show multiple measurements during the drilling operation when a drilling bit is located at a range of depths; based on the measurement data, using machine learning analytics to construct a model that predicts a formation top when the drilling bit reaches a depth; determining a correlation between the measurement data and the predicted formation top; and in response to determining the correlation exceeds a pre-determined threshold, applying the model to predict a formation top when the drilling bit reaches the depth.

Abstract: Methods and systems for optimizing timing for drilling and tripping operation. An example method may include receiving a plurality of sensor data characterizing rig equipment and tripping status. The method may include identifying a plurality of multi-thread rig states based on the plurality of sensor data. The method calculates a plurality of optimal rig state characteristics (RSCs), wherein the plurality of optimal RSCs are calculated based on the plurality of sensor data as it relates to the plurality of multi-thread rig states. The method also performs a tripping operation with the rig equipment after applying the plurality of optimal RSCs. The method may also gather a plurality of updated sensor data from the rig equipment during the tripping operation for a recalculation of the plurality of optimal RSCs.

Abstract: A system and method for contextually organizing and visualizing electronic work product is provided. The system generally comprises a processor, a power supply, a computing device operably connected to the processor, and a non-transitory computer-readable medium coupled to the processor and having instructions stored thereon. The processor may query the non-transitory computer-readable medium and/or a database for electronic work product based on search parameters input by a professional. The processor may then contextually visualize the electronic work product within the user interface as a professional task. The professional may navigate the professional task via the user interface and create new work product, which will be saved by the system for future task generation. Varying permission levels may allow certain professionals to monitor professional task progress, create new tasks, and assign new tasks as necessary.

Abstract: A monitoring system operable to monitor an oilfield additive system having multiple components. The oilfield additive system is operable to transfer an additive-containing substance for injection into a wellbore. The monitoring system includes sensors each associated with, and operable to generate information related to an operational parameter of, a corresponding one of the oilfield additive system components. The monitoring system also includes a monitoring device in communication with the sensors and operable to record the information generated by the sensors to generate a database. The database includes information indicative of maintenance aspects of the oilfield additive system and/or the oilfield additive system components.

Abstract: A system for identifying migration direction of natural gases is provided and may include a network of 4He gas sensors and a migration monitoring hub. The network of 4He gas sensors may be operable to identify a 4He concentration in gas samples. The migration monitoring hub may be in communication with the network of 4He gas sensors and may comprise a user interface and a processor. The processor may be operable to determine a direction of increasing 4He concentration and map increasing 4He concentration. The user interface may be operable to display migration information. A method for identifying migration direction of natural gases is also provided and may include isolating a target portion of a petroleum exploration environment, detecting gas samples from a network of 4He gas sensors, identifying a 4He concentration in the gas samples, and determining a direction of increasing 4He concentration in the gas samples.

Abstract: A downhole system has a plurality of telemetry systems and a control system configured to obtain information from one or more sensors and transmit that information on one or more of the plurality of telemetry systems. The configuration of a controller may be changed so as to change which information is transmitted on a given telemetry system and how the information is to be transmitted on the given telemetry system.

Abstract: The present invention provides a method for measuring growth hormone level in a human child, including a method of assessing pituitary-related growth hormone deficiency in a human child as a stand-alone test. The method includes the steps of oral administration of an effective amount of macimorelin to the child, collecting from the child two or three post-administration blood samples within a range of about 60 minutes after administration, and determining the level of growth hormone in the samples. The method can be used for diagnosing pituitary-related growth hormone deficiency in a child when the peak level of determined growth hormone in the samples is below a cut-off value.

Abstract: The disclosed embodiments include systems and methods to improve downhole drilling. In one embodiment, a method to improve downhole drilling includes receiving a well plan, where the well plan is indicative of a well path to form a borehole of a hydrocarbon well is provided. The method also includes receiving measurements indicative of a previously-drilled section of the borehole. The method further includes generating, based on the measurements, a trajectory of the borehole, where the trajectory is a function of a depth. The method further includes providing the trajectory of the borehole to a Model Predictive Controller. The method further includes steering a tool towards the well path based on an output of the Model Predictive Controller.

Abstract: The disclosure presents a process for sharpening an image data representation of collected measurements from a subterranean formation. The sharpening process utilizes an azimuthal filter applied to azimuthal radial ranges around a borehole to designate azimuthal bins. The azimuthal filter utilizes a set of filter coefficients to modify an azimuthal target bin. The set of filter coefficients is a devolution set as it contains at least one positive and one negative filter coefficient. The filter ratio of positive to negative filter coefficients can be adjusted utilizing the statistical uncertainty of the collected measurements and a targeted filter ratio. In some aspects, an axial filter process, also using a binning methodology, can be applied to the collected measurements, where the azimuthal and axial filtered values can be combined for the final image representation. The azimuthal and axial processes can be executed in serial or parallel process flows.

Abstract: A method and system for a rotary steerable system (RSS). The method may comprise disposing the RSS into a borehole, identifying a failure from the one or more tracking measurements, the mechanical operation of the RSS, or the one or more sensors from a diagnostic review. Additionally, the method may further comprise flagging the failure with a failure code and reporting the failure and its mitigation actions to personnel in real time. The system may comprise one or more sensors configured to measure a location the RSS in a formation from one or more tracking measurements and monitor a mechanical operation of the RSS. The system may further comprise an information handling system.

Abstract: Two control strategies may be implemented to optimize mud circulation in a drilling mud circulation system. In a networked control strategy, the mud circulation system does not involve any centralized controller yet all the local controllers can exchange information in real-time via a central data storage. The master-slave control strategy involves a centralized optimizer, and the subsystems are treated as slave systems and are driven by a visual master control system.

Abstract: Systems and methods for generating a curtain plot that includes two inverted parameters based on the formation boundaries and the formation resistivity, the uncertainties of the formation boundaries, and the uncertainties of the drilled well-path, generating an updated curtain plot that includes two projected inverted parameters based on updated formation boundaries and updated formation resistivity, the projected uncertainties of the updated formation boundaries, and the projected uncertainties of the planned well-path, and avoiding, by the drilling operations, the uncertainties of the formation boundaries of the curtain plot and the updated curtain plot based on the two inverted parameters and the two projected inverted parameters to maintain or adjust the planned well-path within the projected uncertainties of the planned well-path.

Abstract: A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.

Abstract: A system and method for determining an uncertainty of a distance to bed boundary (DTBB) inversion of a geologic formation. The system or method includes receiving logging data from a borehole tool, performing a first DTBB inversion using the logging data to calculate first DTBB solutions, adding quantified noise to the logging data to produce an adjusted signal, performing a second DTBB inversion using the adjusted signal to calculate second DTBB solutions, comparing the first DTBB solutions to the second DTBB solutions to determine an uncertainty of the first DTBB solutions based on a relationship of the quantified noise and the difference between the first DTBB solutions and the second DTBB solutions.

Abstract: A method can include, during drilling operations at a wellsite, receiving operational data, where the data include hookload data, surface rotation data and block position data; training a controller using the hookload data, the surface rotation data and the block position data for determination of one or more transition thresholds, where the transitions thresholds include an in-slips to out-of-slips transition threshold and an out-of-slips to in-slips transition threshold; during the drilling operations, receiving additional operational data that include additional hookload data; and storing at least a portion of the additional operational data in association with slips state as determined based at least in part on a comparison of at least a portion of the additional hookload data and at least one of the determined transition thresholds.

Abstract: Embodiments of the present disclosure are directed towards systems and method for characterizing wettability. Embodiments may include acquiring, using at least one processor, multi-physics data and transforming the multi-physics data into transformed data that is more sensitive to wettability than the multi-physics data. Embodiments may further include processing, using a data processing engine, the acquired and transformed data using at least one of a data correlation technique and an inversion technique.

Abstract: Example implementations involve a mechanism of distribution of products and services, which may have early signals of demand when such products are consumed by project based activities. By offering flexible demand and supply matching, an analytics engine platform predicts such demand, and constructs micro-contracts to match suppliers with project operators, anticipating their demand needs. The mechanisms can be applied to distribution of any kind of products or services in a supply chain which demand arises by planned projects.

Abstract: A system for optimizing a geothermal heating and cooling system operation comprises a drill rig and a processor. The drill rig is configured to construct a geothermal borehole according to operational parameters and deploy a coiled tubing or joint drill pipes enabled drill bit. The processor is configured to receive user specification of (i) one or input parameters and (ii) a first coefficient of performance (COP) of a heat pump for constructing the geothermal borehole. The processor is configured to apply a model to determine the set of operational parameters for constructing the first geothermal borehole. The processor is configured to collect, in real time during the construction, sensor data from sensors positioned on the drill bit, update the model according to the sensor data, update the operational parameters according to the updated model, and control the construction of the first geothermal borehole according to the updated operational parameters.