Abstract: A rotor includes a shaft having an outer surface including a first diameter and a flange extending from the outer surface. A first plurality of laminations is arranged about the shaft. The first plurality of laminations includes an outer annular surface and an inner surface defining an opening including a second diameter that is substantially equal to the first diameter. A second plurality of laminations is arranged about the shaft and coupled to the first plurality of laminations. The second plurality of laminations include an outer annular surface portion and an inner surface portion defining a third diameter that is greater than the first diameter.

Abstract: A cartridge for a conducted electrical weapon may comprise a body having a first end opposite a second end and an outer surface opposite an inner surface. A projectile may be disposed within the body. The inner surface of the body may define a plurality of grooves extending from the first end of the body to a location within the body.

Abstract: The present invention relates to lipase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: A computer-implemented method for securing a user device is disclosed. A signed device authentication key is requested and received from a user application executing on the user device. The signed device authentication key is obtained via a software module installed on the user device and associated with a secure data processing provider. A device setup request is transmitted from the user device to the secure data processing system using the signed device authentication key. The device setup request comprises the signed device authentication key. The authenticity of the device setup request is verified at the secure data processing system based on the signed device authentication key.

Abstract: A method and arrangement is disclosed herein for making a stator with 3D printed end turns. The stator includes a stator lamination stack with semi-closed slots. Straight I-pin wire segments are housed in the slots of the stator lam stack and form the in-slot segments of a stator winding arrangement. The end turns of the winding arrangement are provided by a conductive material that is 3D printed material at both axial ends of the straight I-pins. The end turns result in a winding arrangement with diamond coils that are inter-locked. The 3D printing of the end turns makes the winding arrangement possible, as the winding arrangement is configured such that it cannot be inserted into the lamination stack in a radial direction (i.e., via any slot openings at the inner diameter or outer diameter).

Abstract: A stator for an electric machine includes a core and a multi-phase winding arrangement positioned on the core. Each phase of the winding arrangement includes a plurality of parallel paths defining a plurality of poles for the electric machine. Each parallel path includes a plurality of coils positioned on the core, each coil defined by coil legs and end turns. The coil legs include left legs and right legs extending through the slots of the core. The left legs and right legs of each coil are connected by first end turns at one end of the core and second end turns at an opposite end of the core. Each pole of the electric machine is associated with a pole slot set comprised of multiple slots on the stator core. For each pole slot set, legs for each parallel path extend through one of the slots of said pole slot set.

Abstract: Disclosed are systems and methods for obtaining input data comprising properties associated with at least one parent well and a child well associated with the at least one parent well, dividing the input data into a training data subset, a validation data subset, and a test data subset, selecting at least one machine learning model using the training data subset, the validation data subset, and the test data subset based on k-fold cross validation, tuning hyper parameters for each of the at least one machine learning model, and generating a learning output using the at least one machine learning model and the hyper parameters for each of the at least one machine learning model, the learning output indicating a test root-mean-square error (RMSE) and a training RMSE.

Abstract: Disclosed are systems and methods for receiving historical production data associated with at least one hydraulic fracturing well, receiving time-series data associated with the at least one hydraulic fracturing well, the time-series data representing at least one type of data, receiving non-temporal data associated with the at least one hydraulic fracturing well, generating a machine learning model based on the historical production data, the time-series data associated with the at least one hydraulic fracturing well and based on an original job design during a first stage of the job at a particular hydraulic fracturing well, and the non-temporal data, determining an optimized job design for the particular hydraulic fracturing well having an objective function using a prediction based on the machine learning model, and implementing the optimized job design for the particular hydraulic fracturing well.

Abstract: A wellbore trajectory survey, having an ordered plurality of survey points, is acquired. Each of the plurality of survey points has a measured depth, an inclination, and a geographic location of the point in the wellbore corresponding to the survey point. The wellbore trajectory survey is ordered on measured depth. The processor identifies a minimum lateral measured depth (min_LMD), a maximum lateral measured depth (max_LMD). The processor identifies a mid-lateral point (mid_LMP) in the plurality of survey points whose measured depth (mid_LMD) is greater than min_LMD and less than max_LMD.

Abstract: The present invention relates to lipase variants. The present invention also relates to polynucleotides encoding the variants; nucleic acid constructs, vectors, and host cells comprising the polynucleotides; and methods of using the variants.

Abstract: A wellbore trajectory survey includes an ordered plurality of survey points, each of which has a measured depth, an inclination, and a geographic location. The wellbore trajectory survey is ordered on measured depth. A minimum lateral measured depth (min_LMD) as a measured depth of a first point in the ordered plurality of survey points for which the inclination exceeds an inclination threshold angle is identified. A maximum lateral measured depth (max_LMD) as a measured depth of a last point in the ordered plurality of survey points for which the inclination exceeds the inclination threshold angle is identified. The processor determines from the wellbore trajectory survey that the wellbore at measured depths between the min_LMD and the max_LMD exhibits porpoising into and out of a formation.

Abstract: The disclosure is directed to methods to design and revise hydraulic fracturing (HF) job plans. The methods can utilize one or more data sources from public, proprietary, confidential, and historical sources. The methods can build mathematical, statistical, machine learning, neural network, and deep learning models to predict production outcomes based on the data source inputs. In some aspects, the data sources are processed, quality checked, and combined into composite data sources. In some aspects, ensemble modeling techniques can be applied to combine multiple data sources and multiple models. In some aspects, response features can be utilized as data inputs into the modeling process. In some aspects, time-series extracted features can be utilized as data inputs into the modeling process. In some aspects, the methods can be used to build a HF job plan prior to the start of work at a well site.

Abstract: The disclosure is directed to methods to design and revise hydraulic fracturing (HF) job plans. The methods can utilize one or more data sources from public, proprietary, confidential, and historical sources. The methods can build mathematical, statistical, machine learning, neural network, and deep learning models to predict production outcomes based on the data source inputs. In some aspects, the data sources are processed, quality checked, and combined into composite data sources. In some aspects, ensemble modeling techniques can be applied to combine multiple data sources and multiple models. In some aspects, response features can be utilized as data inputs into the modeling process. In some aspects, time-series extracted features can be utilized as data inputs into the modeling process. In some aspects, the methods can be used to build a HF job plan prior to the start of work at a well site.

Abstract: The disclosure is directed to methods to design and revise hydraulic fracturing (HF) job plans. The methods can utilize one or more data sources from public, proprietary, confidential, and historical sources. The methods can build mathematical, statistical, machine learning, neural network, and deep learning models to predict production outcomes based on the data source inputs. In some aspects, the data sources are processed, quality checked, and combined into composite data sources. In some aspects, ensemble modeling techniques can be applied to combine multiple data sources and multiple models. In some aspects, response features can be utilized as data inputs into the modeling process. In some aspects, time-series extracted features can be utilized as data inputs into the modeling process. In some aspects, the methods can be used to build a HF job plan prior to the start of work at a well site.

Abstract: A rotor includes a shaft having an outer surface including a first diameter and a flange extending from the outer surface. A first plurality of laminations is arranged about the shaft. The first plurality of laminations includes an outer annular surface and an inner surface defining an opening including a second diameter that is substantially equal to the first diameter. A second plurality of laminations is arranged about the shaft and coupled to the first plurality of laminations. The second plurality of laminations include an outer annular surface portion and an inner surface portion defining a third diameter that is greater than the first diameter.

Abstract: A wellbore trajectory survey includes an ordered plurality of survey points, each of which has a measured depth, an inclination, and a geographic location. The wellbore trajectory survey is ordered on measured depth. A minimum lateral measured depth (min_LMD) as a measured depth of a first point in the ordered plurality of survey points for which the inclination exceeds an inclination threshold angle is identified. A maximum lateral measured depth (max_LMD) as a measured depth of a last point in the ordered plurality of survey points for which the inclination exceeds the inclination threshold angle is identified. The processor determines from the wellbore trajectory survey that the wellbore at measured depths between the min_LMD and the max_LMD exhibits porpoising into and out of a formation.

Abstract: Disclosed are systems and methods for receiving historical production data associated with at least one hydraulic fracturing well, receiving time-series data associated with the at least one hydraulic fracturing well, the time-series data representing at least one type of data, receiving non-temporal data associated with the at least one hydraulic fracturing well, generating a machine learning model based on the historical production data, the time-series data associated with the at least one hydraulic fracturing well and based on an original job design during a first stage of the job at a particular hydraulic fracturing well, and the non-temporal data, determining an optimized job design for the particular hydraulic fracturing well having an objective function using a prediction based on the machine learning model, and implementing the optimized job design for the particular hydraulic fracturing well.

Abstract: The present invention relates to lipase variants of the parent lipase shown as SEQ ID NO: 2 with improved wash performance and/or Benefit Risk Factor (BRF). The invention also relates to polynucleotides encoding the lipase variants of the invention, compositions comprising a lipase variant of the invention as well as methods of producing such lipase variants of the invention and the use of the lipase variants or compositions thereof.

Abstract: The present invention relates to lipase variants of the parent lipase shown as SEQ ID NO: 2 with improved stability during use in a wash process (IWS). The invention also relates to polynucleotides encoding the lipase variants of the invention, compositions comprising a lipase variant of the invention as well as methods of producing such lipase variants of the invention and the use of the lipase variants or compositions thereof.

Abstract: The present invention relates to lipase variants of the parent lipase shown as SEQ ID NO: 2 with improved wash performance and/or Benefit Risk Factor (BRF). The invention also relates to polynucleotides encoding the lipase variants of the invention, compositions comprising a lipase variant of the invention as well as methods of producing such lipase variants of the invention and the use of the lipase variants or compositions thereof.