Abstract: A scalable digital fleet management system may be leveraged by organizations with high-volume high-value assets. In such scenarios, predictive analytics for tool health enables decision-making in terms of planning, maintenance, end-of-life replacement, tool selection, etc. An end-to-end solution spans all the way from gathering live tool data to visual representations of tool health. Long-term fleet management can be accomplished through a consistent evaluation of the fleet performance profile. Predictive analysis can anticipate maintenance needs and resultant downtimes and help improve scheduling of procurement and distribution of the fleet. Framework deployment focuses on topics related to developing an end-to-end solution architecture, scaling, and deploying it on demand, and maintaining it going forward.

Abstract: Methods for evaluating sensor data to predict when the sensor should be recalibrated are described. The methods include a model that utilizes current wellbore data as input for the recalibration prediction.

Abstract: Disclosed are tools, systems, and methods for detecting one or more underground acoustic sources and localizing them in depth and radial distance from a wellbore, for example, for the purpose of finding underground fluid flows, such as may result from leaks in the well barriers. In various embodiments, acoustic-source detection and localization are accomplished with an array of at least three acoustic sensors disposed in the wellbore, in conjunction with array signal processing.

Abstract: Described herein are tools, systems, and methods for detecting, classifying, and/or quantifying underground fluid flows based on acoustic signals emanating therefrom, using a plurality of acoustic sensors disposed in the wellbore in conjunction with array signal processing and systematic feature-based classification and estimation methods.

Abstract: A method includes deploying an electromagnetic (EM) defect detection tool in a borehole having one or more tubular strings. The method also includes collecting measurements by the EM defect detection tool as a function of measured depth or position. The method also includes using the measurements and a first inversion process to determine a defect in the one or more tubular strings. The first inversion process involves a cost function having a misfit term and having a stabilizing term with nominal model parameters. The method also includes performing an operation in response to the determined defect.

Abstract: Methods for evaluating sensor data to predict when the sensor should be recalibrated are described. The methods include a model that utilizes current wellbore data as input for the recalibration prediction.

Abstract: The acoustic energy induced by a transmitter module of an acoustic logging tool is dependent on several factors. In some implementations, the induced acoustic energy is dependent on the electromagnetic energy input into the transmitter module, the response behavior of the transmitter module, and the operating conditions of the transmitter module. Variation in one or more of these factors can result in a corresponding variation in the induced acoustic. Thus, a desired acoustic signal can be produced by applying an appropriately selected input signal to the transmitter module, while accounting for other factors that influence the output of the transmitter module.

Abstract: A method includes deploying an electromagnetic (EM) defect detection tool in a borehole having one or more tubular strings. The method also includes collecting measurements by the EM defect detection tool as a function of measured depth or position. The method also includes using the measurements and a first inversion process to determine a defect in the one or more tubular strings. The first inversion process involves a cost function having a misfit term and having a stabilizing term with nominal model parameters. The method also includes performing an operation in response to the determined defect.

Abstract: A resistivity logging tool includes a plurality of excitation electrodes, at least one return electrode, and a plurality of monitor electrodes. The resistivity logging tool also includes a controller that determines a set of independent currents to be emitted by at least some of the plurality of excitation electrodes during an excitation cycle based on at least one measured downhole parameter and at least one predetermined constraint.

Abstract: Controlling cable (30) tension and tool (34) position in a well (16) may include controlling either or both of tool position and cable tension independently by regulating reel (335) angle and flow rate of a fluid pumped over the tool. Thus, despite physical interdependency of tool position and cable tension, the tool may be controlled such that its position is changed while cable tension remains constant, or its position is held constant while cable tension is changed. In addition, actual downhole tool position, cable tension, and other actual values may be estimated using an observer.

Abstract: Described herein are tools, systems, and methods for detecting, classifying, and/or quantifying underground fluid flows based on acoustic signals emanating therefrom, using a plurality of acoustic sensors disposed in the wellbore in conjunction with array signal processing and systematic feature-based classification and estimation methods.

Abstract: Disclosed are tools, systems, and methods for detecting one or more underground acoustic sources and localizing them in depth and radial distance from a wellbore, for example, for the purpose of finding underground fluid flows, such as may result from leaks in the well barriers. In various embodiments, acoustic-source detection and localization are accomplished with an array of at least three acoustic sensors disposed in the wellbore, in conjunction with array signal processing.

Abstract: A resistivity logging system includes a plurality of excitation electrodes, at least one return electrode, and a plurality of monitor electrodes. The resistivity logging system also includes a controller that determines a level of excitation current to be emitted by at least one of the plurality of excitation electrodes during a subsequent excitation cycle based on a comparison of measured downhole parameter values corresponding to excitation current emitted in two previous excitation cycles.

Abstract: A resistivity logging tool includes a plurality of excitation electrodes, at least one return electrode, and a plurality of monitor electrodes. The resistivity logging tool also includes a controller that determines a set of independent currents to be emitted by at least some of the plurality of excitation electrodes during an excitation cycle based on at least one measured downhole parameter and at least one predetermined constraint.

Abstract: Embodiments for determining an optimal configuration for a renewable energy power plant are provided. The power plant, which may be a virtual power plant, includes one or more generator devices and one or more energy storage devices that may be operated to undertake one or more operating applications. Data indicative of the power output of the power plant and the voltage level at the energy storage system connection point is received as an input. Using this data, combinations of energy storage devices and operating applications stored on a database are processed and, for each energy storage and operating application pair, a value indicative of the profitability of undertaking the operating application is determined. These values are used to rank the combinations of energy storage devices and operating applications according to their profitability, which in turn is used to select the most efficient or profitable application/energy storage pair.

Abstract: A resistivity logging system includes a plurality of excitation electrodes, at least one return electrode, and a plurality of monitor electrodes. The resistivity logging system also includes a controller that determines a level of excitation current to be emitted by at least one of the plurality of excitation electrodes during a subsequent excitation cycle based on a comparison of measured downhole parameter values corresponding to excitation current emitted in two previous excitation cycles.

Abstract: Controlling cable (30) tension and tool (34) position in a well (16) may include controlling either or both of tool position and cable tension independently by regulating reel (335) angle and flow rate of a fluid pumped over the tool. Thus, despite physical interdependency of tool position and cable tension, the tool may be controlled such that its position is changed while cable tension remains constant, or its position is held constant while cable tension is changed. In addition, actual downhole tool position, cable tension, and other actual values may be estimated using an observer.

Abstract: The acoustic energy induced by a transmitter module of an acoustic logging tool is dependent on several factors. In some implementations, the induced acoustic energy is dependent on the electromagnetic energy input into the transmitter module, the response behavior of the transmitter module, and the operating conditions of the transmitter module. Variation in one or more of these factors can result in a corresponding variation in the induced acoustic. Thus, a desired acoustic signal can be produced by applying an appropriately selected input signal to the transmitter module, while accounting for other factors that influence the output of the transmitter module.

Abstract: Method, system, and computer program product for estimating a consumed battery life of a battery used in a wind energy application. An energy storage system for use with a wind farm includes a rechargeable battery configured to be selectively charged by wind turbines or the power grid and configured to be selectively discharged to a power grid. One or more remaining battery life algorithms are used to compute a consumed battery life for the battery. A battery life curve characteristic of the battery and a state of charge profile are used as inputs to each remaining battery life algorithm.

Abstract: System, method, and computer program product for optimally scheduling energy storage devices in wind energy applications. The power production system includes an energy storage device configured to service a first energy storage application at the first wind farm and a supervisory controller configured to determine if an attribute of the energy storage device is less than or equal to a threshold for the first energy storage application. In response to the attribute being less than or equal to a threshold for the first energy storage application, the supervisory controller schedules the energy storage device for a second energy storage application at the first wind farm or at a second wind farm different than the first wind farm. The optimization of the scheduling may be implemented in a computer-implemented method or as a computer program product.