Abstract: A method of developing a predictive model for sand production from a wellbore includes receiving an indication of sand ingress at one or more production zones within a first wellbore using a sand monitoring system disposed within the first wellbore, detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids and detecting the sand ingress, determining one or more geophysical properties of the one or more production zones of the first wellbore, and determining a model that correlates sand ingress at each of the one or more production zones with a plurality of variables. The sand ingress occurs while producing one or more fluids from the first wellbore.

Abstract: A monitoring system includes a flow line, an optical fiber coupled to the flow line, and a receiver coupled to an end of the optical fiber. The receiver is configured to detect at least one acoustic signal from the optical fiber. In addition, the monitoring system includes processor unit to detect a flow obstruction within the flow line based on the acoustic signal.

Abstract: A method of workflow selection and event detection comprises: receiving, on a user interface, a plurality of selections from a user, wherein the plurality of selections identifies a plurality of time series data elements; correlating the plurality of selections with a plurality of workflows, wherein each workflow of the plurality of workflows defines a set of associated time series data elements; identifying a first workflow of the plurality of workflows associated with the plurality of selections; retrieving a first set of time series data elements associated with the first workflow; and identifying an event using the first set of time series data elements.

Abstract: A method of identifying anomalies comprises determining, using a first data set, a baseline for one or more time series data components or features, determining, using a second data set, that one or more of the time series data components or features in the second data set exceed the baseline, providing, on a user interface, an indication of the one or more time series data components or features that exceed the baseline, receiving, using the user interface, feedback on the indication, and updating the baseline based on the feedback.

Abstract: A method of reducing data storage volumes for event by identifying an anomaly in a first portion of a sensor data set using one or more features derived from the sensor data, wherein the sensor data set is obtained from a sensor, and wherein the sensor data set comprises a plurality of individual sensor readings through time, determining one or more signal characteristics of the first portion of the sensor data set; and storing, in a memory, the one or more signal characteristics of the first portion of the sensor data set, wherein a second portion of the sensor data does not contain the anomaly, and wherein the second portion of the sensor data is not stored in the memory.

Abstract: A method of presenting sensor data can include receiving a request for data to be displayed on a display area of a display device, determining a data distribution per pixel within the display area for both the first axis and the second axis based on the pixel resolution, the first output range, and the second output range, fitting the data distribution per pixel for data associated with the first axis to provide first axis fitted data, fitting the data distribution per pixel for data associated with the second axis to provide second axis fitted data, and sending the first axis fitted data and the second axis fitted data. The request comprises a pixel resolution of the display area, a first output range of the data along a first axis, and a second output range of the data along a second axis.

Abstract: A method of identifying inflow locations along a wellbore includes obtaining an acoustic signal from a sensor within the wellbore, determining a plurality of frequency domain features from the acoustic signal, and identifying, using a plurality of fluid flow models, a presence of at least one of a gas phase inflow, an aqueous phase inflow, or a hydrocarbon liquid phase inflow at one or more fluid flow locations. The acoustic signal includes acoustic samples across a portion of a depth of the wellbore, and the plurality of frequency domain features are obtained across a plurality of depth intervals within the portion of the depth of the wellbore. Each fluid flow model of the plurality of fluid inflow models uses one or more frequency domain features of the plurality of the frequency domain features, and at least two of the plurality of fluid flow models are different.

Abstract: A method of identifying events comprises obtaining a first set of measurements comprising a first signal of field data at a location; identifying one or more events at the location using the first set of measurements; obtaining a second set of measurements comprising a second signal at the location, wherein the first signal and the second signal represent at least one different physical measurements; training one or more event models using the second set of measurements and the identification of the one or more events as inputs; and using the one or more event models to identify at least one additional event at one or more locations.

Abstract: A method of identifying events within a wellbore comprises obtaining a first set of measurements of a first signal within a wellbore, identifying one or more events within the wellbore using the first set of measurements, obtaining a second set of measurements of a second signal within the wellbore, wherein the first signal and the second signal represent different physical measurements, training one or more event models using the second set of measurements and the identification of the one or more events as inputs, and using the one or more event models to identify at least one additional event within the wellbore.

Abstract: A method of detecting an event by: obtaining a first sample data set; determining a frequency domain feature(s) of the first sample data set over a first time period; determining a first threshold for the a frequency domain feature(s) using the first sample data set; determining that the frequency domain feature(s) matches the first threshold; determining the presence of an event during the first time period based on determining that the frequency domain feature(s) matches the first threshold; obtaining a second sample data set; determining a frequency domain feature(s) of the second sample data set over a second time period; determining a second threshold for the frequency domain feature(s) using the second sample data set; determining that the frequency domain feature(s) matches the second threshold; and determining the presence of the event during the second time period based on determining that the frequency domain feature(s) matches the second threshold.

Abstract: A data processing system for identifying an audio signal includes an audio sensor, a receiver module, a signal recognition module, and a receiver device. The receiver module receives audio data from the audio sensor. The receiver module transmits the audio data to the signal recognition module. The signal recognition module calculates time-varying vector arrays of octave band energies, and/or of fractional octave band energies, and calculates time-varying vector arrays of Mel-Frequency Cepstral Coefficients (MFCC) values based on the received audio data. The signal recognition module generates audio feature image data based on the vector arrays. The signal recognition module includes binary classifier machine learning models and inference models to identify the audio signal based on the generated audio feature image data. The signal recognition module transmits a notification message to the receiver device.

Abstract: A method of identifying events within a wellbore comprises obtaining a first set of measurements of a first signal within a wellbore, identifying one or more events within the wellbore using the first set of measurements, obtaining a second set of measurements of a second signal within the wellbore, wherein the first signal and the second signal represent different physical measurements, training one or more event models using the second set of measurements and the identification of the one or more events as inputs, and using the one or more event models to identify at least one additional event within the wellbore.

Abstract: A method for capturing user workflows can include tracking user queries for a plurality of users, correlating the user queries between two or more users of the plurality of users, determining that the user queries of the two or more users of the plurality of users are correlated, and classifying the user queries of the at least two users as a workflow neighbor. The workflow neighbor defines a set of time series data or features.

Abstract: A monitoring system includes a flow line, an optical fiber coupled to the flow line, and a receiver coupled to an end of the optical fiber. The receiver is configured to detect at least one acoustic signal from the optical fiber. In addition, the monitoring system includes processor unit to detect a flow obstruction within the flow line based on the acoustic signal.

Abstract: A method of identifying events includes obtaining an acoustic signal from a sensor, determining one or more frequency domain features from the acoustic signal, providing the one or more frequency domain features as inputs to a plurality of event detection models, and determining the presence of one or more events using the plurality of event detection models. The one or more frequency domain features are obtained across a frequency range of the acoustic signal, and at least two of the plurality of event detection models are different.

Abstract: A method of detecting sand inflow into a wellbore is disclosed. The method can include obtaining a sample data set, detecting a broadband signal within the sample data set, comparing the broadband signal with a signal reference, determining that the broadband signal meets or exceeds the signal reference, and determining the presence of sand inflow into the wellbore based on determining that the broadband signal meets or exceeds the signal reference. The sample data set can be a sample of an acoustic signal originating within a wellbore including a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.

Abstract: A method of monitoring fluid outflow along a wellbore includes obtaining an acoustic signal from a sensor within the wellbore. The acoustic signal includes acoustic samples across a portion of a depth of the wellbore. In addition, the method includes determining one or more frequency domain features from the acoustic signal. Further, the method includes identifying one or more fluid outflow locations along the portion of the depth of the wellbore using the one or more frequency domain features.

Abstract: A method of determining the presence and/or extent of an event comprises determining a plurality of temperature features from a temperature sensing signal, determining one or more frequency domain features from an acoustic signal, and using at least one temperature feature of the plurality of temperature features and at least one frequency domain feature of the one or more frequency domain features to determine the presence and/or extent of the event at one or more locations.

Abstract: A method of detecting one or more events comprises determining a plurality of temperature features from a temperature sensing signal, using the plurality of temperature features in an event detection model, and determining the presence or absence of the one or more events at one or more locations based on an output from the event detection model.

Abstract: A method of developing a predictive model for sand production from a wellbore includes receiving an indication of sand ingress at one or more production zones within a first wellbore using a sand monitoring system disposed within the first wellbore, detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids and detecting the sand ingress, determining one or more geophysical properties of the one or more production zones of the first wellbore, and determining a model that correlates sand ingress at each of the one or more production zones with a plurality of variables. The sand ingress occurs while producing one or more fluids from the first wellbore.