Detecting Downhole Events Using Acoustic Frequency Domain Features

    公开(公告)号:US20190120044A1

    公开(公告)日:2019-04-25

    申请号:US16091929

    申请日:2017-04-06

    Abstract: A method of detecting an event within a wellbore includes obtaining a sample data set, determining a plurality of frequency domain features of the sample data set, comparing the plurality of frequency domain features with an event signature, determining that the plurality of frequency domain features matches the thresholds, ranges, or both of the event signature, and determining the presence of the event within the wellbore based on determining that the plurality of frequency domain features match the thresholds, ranges, or both of the event signature. The sample data set is a sample of an acoustic signal originating within a wellbore including a fluid. The sample data set is representative of the acoustic signal across a frequency spectrum. The event signature includes a plurality of thresholds, ranges, or both corresponding to the plurality of frequency domain features.

    Detecting Events Using Acoustic Frequency Domain Features

    公开(公告)号:US20200256834A1

    公开(公告)日:2020-08-13

    申请号:US16755211

    申请日:2018-10-10

    Abstract: A system for processing acoustic data to identify an event includes a receiver unit including a processor and a memory. The receiver unit is configured to receive a signal from a sensor disposed along a sensor path or across a sensor area. A processing application is stored in the memory. The processing application, when executed on the processor, configures the processor to: receive the signal from the sensor, where the signal includes an indication of an acoustic signal received at one or more lengths along the sensor path or across a portion of the sensor area and the signal is indicative of the acoustic signal across a frequency spectrum; determine a plurality of frequency domain features of the signal across the frequency spectrum; and generate an output comprising the plurality of frequency domain features.

    Event Detection Using DAS Features with Machine Learning

    公开(公告)号:US20220414301A1

    公开(公告)日:2022-12-29

    申请号:US17294759

    申请日:2019-11-27

    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.

    BARRIER FLOW DIAGNOSTICS THROUGH DIFFERENTIAL MAPPING

    公开(公告)号:US20220251943A1

    公开(公告)日:2022-08-11

    申请号:US17618433

    申请日:2019-06-25

    Abstract: A method of abandoning a wellbore can include obtaining a first sample data set within a wellbore, wherein the first sample data set is a sample of an acoustic signal originating within the wellbore; determining a plurality of frequency domain features of the first sample data set; identifying a fluid flow location within the wellbore using the first plurality of frequency domain features; setting a barrier at or above the fluid flow location; obtaining a second sample data set above the barrier, wherein the second sample data set is a sample of an acoustic signal originating within the wellbore above the barrier; determining a second plurality of frequency domain features of the second sample data set; and identifying that a fluid flow rate or flow mechanism at the fluid flow location has been reduced or eliminated and/or identifying another fluid flow location using the second plurality of frequency domain features.

    DAS Data Processing to Identify Fluid Inflow Locations and Fluid Type

    公开(公告)号:US20210389486A1

    公开(公告)日:2021-12-16

    申请号:US17295368

    申请日:2019-11-27

    Abstract: A method of identifying inflow locations along a wellbore comprises 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 comprises 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.

    DAS Data Processing to Characterize Fluid Flow

    公开(公告)号:US20210047916A1

    公开(公告)日:2021-02-18

    申请号:US16992315

    申请日:2020-08-13

    Abstract: A method of characterizing an inflow into a wellbore includes obtaining an acoustic signal from a sensor within the wellbore. In addition, the method includes determining a plurality of frequency domain features from the acoustic signal. Further, the method includes identifying at least one of a gas phase flow, an aqueous phase flow, or a hydrocarbon liquid phase flow using the plurality of the frequency domain features. The method also includes classifying a flow rate of the at least one of the gas phase flow, the aqueous phase flow, or the hydrocarbon liquid phase flow using the plurality of frequency domain features. The acoustic signal comprises acoustic samples across a portion of a depth of the wellbore.

    Detecting Downhole Sand Ingress Locations
    9.
    发明申请

    公开(公告)号:US20200182047A1

    公开(公告)日:2020-06-11

    申请号:US16091519

    申请日:2017-04-06

    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 comprising a fluid, and the broadband signal at least includes a portion of the sample data set at frequencies above 0.5 kHz.

    DAS Data Processing to Identify Fluid Inflow Locations and Fluid Type

    公开(公告)号:US20200173273A1

    公开(公告)日:2020-06-04

    申请号:US16698335

    申请日:2019-11-27

    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.

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