Abstract: A system can be used for generating a pressure signal in a flow path defined by a tubular. The system can include a pressure source, a valve, and a controller. The controller can output a command to control the pressure source for outputting a fluid hammer, according to the command, through the valve and into a flow path defined by a wellbore tubular. The system can be positioned external to the flow path. The system can determine, based on the reflection signal, a presence of a deposition, a blockage, or a leak within the flowline while the flowline is in operation.

Abstract: Methods and systems for solving inverse problems arising in systems described by a physics-based forward propagation model use a Bayesian approach to model the uncertainty in the realization of model parameters. A Generative Adversarial Network (“GAN”) architecture along with heuristics and statistical learning is used. This results in a more reliable point estimate of the desired model parameters. In some embodiments, the disclosed methodology may be applied to automatic inversion of physics-based modeling of pipelines.

Abstract: A system is provided including a coiled tubing reel apparatus including a reel drum for storing a coiled tubing string spooled on the reel drum and a hydraulic reel drive motor that controls rotation of the reel drum. The system further includes a reel controller that determines an estimated reel back tension for a portion of the coiled tubing string between the reel apparatus and the injector based on a set of parameters related to a coiled tubing operation. The reel controller determines a target reel back tension to be applied to the portion of the coiled tubing string by adjusting the estimated reel back tension based on a historical job dataset. The reel controller then determines and sets a target hydraulic pressure of the reel drive motor to achieve the target reel back tension in the portion of the coiled tubing string.

Abstract: A system is provided including a coiled tubing injector including at least two gripper chains for gripping a coiled tubing and a gripper system for generating a gripper force applied to the at least two gripper chains by adjusting gripper pressure on at least one gripper cylinder. A gripper controller is configured to determine a minimum gripper pressure and a maximum gripper pressure for the gripper cylinders, based on a current set of parameters related to lowering the coiled tubing into a wellbore or pulling out the coiled tubing from the wellbore. The gripper controller selects a target gripper pressure between the minimum gripper pressure and the maximum gripper pressure based on a historical data model and sets the target gripper pressure for the at least one gripper cylinder.

Abstract: A system is provided that includes a dart, a pressure sensor, and a controller communicatively coupled with the sensor. The dart is disposed in a fluidic channel. The dart has a main body and a flange extending from the main body and has a diameter greater than or equal to a diameter of the fluidic channel. When the dart translates within the fluidic channel and passes a location of a variation in the fluidic channel, the flange creates a pressure pulse. The pressure sensor measures the pressure pulse within the fluidic channel created by the dart. The controller determines the location of the variation based on the measured pressure pulse.

Abstract: A master data acquisitions system is provided. A trigger emits a sync signal to be sensed by each of a plurality of data acquisition systems. A controller is communicatively coupled with each of the plurality of data acquisition systems. The controller receives data from each of the data acquisition systems. The data for each of the plurality of data acquisition systems include the sensed sync signal. The controller synchronizes the data from each of the plurality of data acquisition systems by aligning the sensed sync signal for each of the plurality of data acquisition systems.

Abstract: A system can control a transmission of a pressure signal subsea into a flowline comprising a fluid. The system can receive sensor data indicating one or more properties of a first reflection signal corresponding to the pressure signal in the flowline. The system can adjust a model based on the one or more properties of the first reflection signal. The model can be configured for determining a presence of a material deposition in the flowline. The system can determine, based on a second reflection signal and the adjusted model, a presence of the material deposition in the flowline. The system can output a command configured to initiate a remediation operation to reduce the material deposition in the flowline.

Abstract: A method is provided for non-intrusively determining cross-sectional variation of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel using a hammer to strike an external surface of a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A forward model of cross-sectional variation of the fluidic channel is generated based on a baseline simulation. Using the forward model, a simulated pressure profile is generated. Using the measured pressure profile and the simulated pressure profile, an error is determined. When the error is outside a predetermined threshold, the forward model is updated based on the error. An estimate of cross-sectional variation of the fluidic channel based on the forward model is displayed.

Abstract: A method is provided for non-intrusively determining deposits of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A processor then can determine one or more properties of the deposit in the fluidic channel based on the measured pressure profile.

Abstract: A method is provided for non-intrusively determining cross-sectional variation of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel using a hammer to strike an external surface of a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A forward model of cross-sectional variation of the fluidic channel is generated based on a baseline simulation. Using the forward model, a simulated pressure profile is generated. Using the measured pressure profile and the simulated pressure profile, an error is determined. When the error is outside a predetermined threshold, the forward model is updated based on the error. An estimate of cross-sectional variation of the fluidic channel based on the forward model is displayed.

Abstract: A method is provided for non-intrusively determining deposits of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A processor then can determine one or more properties of the deposit in the fluidic channel based on the measured pressure profile.

Abstract: A system is provided that includes a dart, a pressure sensor, and a controller communicatively coupled with the sensor. The dart is disposed in a fluidic channel. The dart has a main body and a flange extending from the main body and has a diameter greater than or equal to a diameter of the fluidic channel. When the dart translates within the fluidic channel and passes a location of a variation in the fluidic channel, the flange creates a pressure pulse. The pressure sensor measures the pressure pulse within the fluidic channel created by the dart. The controller determines the location of the variation based on the measured pressure pulse.

Abstract: Methods and systems for solving inverse problems arising in systems described by a physics-based forward propagation model use a Bayesian approach to model the uncertainty in the realization of model parameters. A Generative Adversarial Network (“GAN”) architecture along with heuristics and statistical learning is used. This results in a more reliable point estimate of the desired model parameters. In some embodiments, the disclosed methodology may be applied to automatic inversion of physics-based modeling of pipelines.

Abstract: A master data acquisitions system is provided. A trigger emits a sync signal to be sensed by each of a plurality of data acquisition systems. A controller is communicatively coupled with each of the plurality of data acquisition systems. The controller receives data from each of the data acquisition systems. The data for each of the plurality of data acquisition systems include the sensed sync signal. The controller synchronizes the data from each of the plurality of data acquisition systems by aligning the sensed sync signal for each of the plurality of data acquisition systems.