Abstract: The disclosed technology provides ways to suppress or eliminate the effects of roadnoise when performing acoustic leak detection in a wellbore environment. In some aspects, a method of the technology includes steps for receiving acoustic training data, wherein the acoustic training data comprises signals representing acoustic tool contact with a wellbore surface, and generating a suppression model based on the acoustic training data, wherein the suppression model is configured to suppress roadnoise received at a hydrophone array disposed within the wellbore. Systems and machine-readable media are also provided.

Abstract: A method of through tubing cement evaluation includes obtaining acoustic cement bond evaluation data relating to a property of a cement bond of a cased-borehole for each of a plurality of acoustic methods, wherein the acoustic cement bond evaluation data comprises a quality control (QC) value indicative of a confidence level of cement bonding condition, determining an eccentricity value of a tubing relative to a casing in the borehole, determining an output of each acoustic method by combining the eccentricity value and the acoustic cement evaluation data associated with each acoustic method, combining the output of each acoustic method to generate an optimized cement bonding index log of the cement bond, and employing the optimized cement bonding index log to provide an interpretation of an overall cement bonding condition.

Abstract: A method of detecting superimposed SCMA signals from multiple user equipment in a receiver of an OTFS communication system includes initializing an executing an iteration loop, in which a mean of all a posteriori estimates of the transmitted signal determined so far is calculated, which a posteriori estimates are based on the OTFS-demodulated received signal, the corresponding channel matrix, and the mean vectors and variances determined for each UE. The mean of all a posteriori estimates determined so far is used for determining vectors and variances for each UE, further using the probabilities of the non-zero elements of the respective UEs codebooks. The iteration is repeated until a termination criterion is met.

Abstract: A method and system for generating an acoustic log. The method may comprise disposing an acoustic logging tool in a wellbore, broadcasting a shaped signal with the acoustic logging tool such that the shaped signal interacts with a boundary of a casing and a material, recording a result signal from the boundary with the acoustic logging tool, and decomposing the result signal into a resonance mode. The method may further comprise applying a bandpass filter to the resonance mode to form a filtered signal, selecting a baseline signal from the filtered signal, removing the baseline signal from the filtered signal, and generating a log from the filtered signal. The system may comprise an acoustic logging tool. The acoustic logging tool may comprise at least one transmitter and at least one receiver. The system may further comprise a conveyance and an information handling system communicatively connected to the acoustic logging tool.

Abstract: A method of detecting superimposed SCMA signals from multiple user equipment in a receiver of an OTFS communication system includes initializing an executing an iteration loop, in which a mean of all a posteriori estimates of the transmitted signal determined so far is calculated, which a posteriori estimates are based on the OTFS-demodulated received signal, the corresponding channel matrix, and the mean vectors and variances determined for each UE. The mean of all a posteriori estimates determined so far is used for determining vectors and variances for each UE, further using the probabilities of the non-zero elements of the respective UEs codebooks. The iteration is repeated until a termination criterion is met.

Abstract: Methods and systems of the present disclosure may use a multi-frequency-range and multi-mode guided-wave processing technique when determining whether a wellbore is safe to operate or is safe to plug and abandon. Methods of the present disclosure improve upon single frequency approaches that may yield unreliable determinations when eccentricities associated with a sensing assembly being offset from a center line of a casing is greater than a threshold level.

Abstract: A horizontally-charging smart acoustic system includes a magnetic microphone, an interior of the magnetic microphone is provided with a microphone internal magnetic assembly and a flip speaker assembly. An exterior of the magnetic microphone is provided with multiple charging rings arranged along an axial direction of the magnetic microphone. The flip speaker assembly includes a speaker base provided with a microphone accommodating groove, a speaker internal magnetic assembly mounted under the microphone accommodating groove and arranged in correspondence to the microphone internal magnetic assembly, a charging probe assembly protruding into the microphone accommodating groove and in an electrical connection with each charging ring, and an upper cover assembly in a hinged connection with the speaker base.

Abstract: A method comprising selecting a cement sensitive mode based at least on the configuration of a conduit string, transmitting an acoustic signal into at least part of the conduit string, measuring a return signal from at least part of the conduit string, computing one or more modal resonance frequencies of a resonance mode from the return signal, and forming a modal frequency log of the resonance signal with at least the one or more modal resonance frequencies. In examples, a system comprising a transmitter configured to transmit an acoustic signal into at least part of a conduit string, a receiver configured to measuring a return signal from at least part of the conduit string.

Abstract: Methods and systems of the present disclosure include removing the effects of certain types of noise from collected data that may affect the accuracy of determinations made using the collected data. Such methods may be used to separate data associated with acoustic energy traveling along a casing from other data included in a dataset. “Data of interest” may be identified based on known modes of energy propagation through a wellbore casing. The velocities of energy traveling along a wellbore casing may be known based on known characteristics of the casing. Data associated with acoustic wave modes not related to the casing may be removed from the dataset. The data of interest may then be evaluated when cement bond index values are assigned to different portions of the casing. The casing may be placed into operation when the cement bond index values of the casing correspond to an acceptance criterion.

Abstract: Enclosed herein are a method and system for reduction of a tool wave excited by a transmitter of the well logging tool. In one embodiment, a method comprises transmitting, by a primary transmitter, a primary acoustic wave into a geologic formation which excites a tool wave and a formation wave in the geologic formation, wherein the logging tool comprises a tool wave propagating factor which is different from a formation wave propagating factor; receiving, by one or more receivers, the formation wave and the tool wave; propagating waveform data associated with the received tool wave and formation wave based on a distance between the auxiliary receiver and a primary receiver; and reducing the tool wave in waveform data associated with the formation wave and the tool wave received by a primary receiver of the one or more receivers based on the propagated waveform data.

Abstract: A method comprising selecting a cement sensitive mode based at least on the configuration of a conduit string, transmitting an acoustic signal into at least part of the conduit string, measuring a return signal from at least part of the conduit string, computing one or more modal resonance frequencies of a resonance mode from the return signal, and forming a modal frequency log of the resonance signal with at least the one or more modal resonance frequencies. In examples, a system comprising a transmitter configured to transmit an acoustic signal into at least part of a conduit string, a receiver configured to measuring a return signal from at least part of the conduit string.

Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to determine when a natural language requirement statement includes an atomic statement using a large language model (LLM) neural network based on a first prompt statement. The first prompt statement can include a first request to label the natural language requirement statement, a description of a requirements language, and the natural language requirement statement. The first output from the LLM includes an explanation statement which indicates reasons the natural language requirement statement is atomic or not atomic. When the LLM determines that the natural language requirement statement is atomic, the LLM can translate the natural language requirement statement into the requirements language based on a second prompt statement that includes a second request to translate the natural language requirement into the requirements language and the natural language requirement statement.

Abstract: Systems and methods are provided for evaluation of the cement bonding condition in a wellbore based on borehole resonance mode using machine learning. An example method can include transforming the return signal into a resonance signal based on feature extraction of the return signal, determining a segment of the resonance signal in a time domain, and determining, via a machine learning model, a predicted borehole cement bonding based on the segment of the resonance signal. The example method can further include generating a bonding log based on the predicted borehole cement bonding.

Abstract: An anomaly in a cement layer of a wellbore can be identified by applying dimensionality reduction to acoustic data of the wellbore. For example, a computing system can receive the acoustic data from a downhole tool deployed downhole in the wellbore using a tool string positioned within a casing string of the wellbore. The computing system can decrease a number of dimensions associated with the acoustic data to generate a dimension-reduced dataset including a predetermined dimensionality. Subsequently, the computing system can analyze the dimension-reduced dataset to determine a likelihood of the anomaly being present in the cement layer of the wellbore. The computing system can output, via a user interface, a cement map based on the dimension-reduced dataset. The cement map can indicate a presence of the anomaly in the cement layer of the wellbore for use in adjusting a wellbore operation.

Abstract: A horizontally-charging smart acoustic system includes a magnetic microphone, an interior of the magnetic microphone is provided with a microphone internal magnetic assembly and a flip speaker assembly. An exterior of the magnetic microphone is provided with multiple charging rings arranged along an axial direction of the magnetic microphone. The flip speaker assembly includes a speaker base provided with a microphone accommodating groove, a speaker internal magnetic assembly mounted under the microphone accommodating groove and arranged in correspondence to the microphone internal magnetic assembly, a charging probe assembly protruding into the microphone accommodating groove and in an electrical connection with each charging ring, and an upper cover assembly in a hinged connection with the speaker base.

Abstract: The present disclosure relates to determining a location of a noise source where the location includes azimuth information and determining cement-bond integrity. A downhole tool disposed in a borehole may comprise one or more receivers (such as a monopole receiver and any one or more of one or more multi-pole receivers) and in certain embodiments one or more transmitters that fire one or more shots may provide azimuthal estimate of the location of a noise source, a location of a leak in one or more layers of a casing, cement-bond integrity any combination thereof based, at least in part, on one or more measurements or data for received signals at any one or more receivers. Accurate and efficient identification of a leak or integrity of a cement-bond reduces overall inefficiencies and costs associated with a downhole operation.

Abstract: Methods to perform through tubing cement evaluation using converted multipole resonance modes. A first acoustic transmission is emitted outward toward the cement such that a portion of the first acoustic transmission penetrates the cement. The receiver array detects the first acoustic response derived from the first acoustic transmission. The system then determines the multimode wellbore resonance based on the first acoustic response. In response to the first acoustic transmission penetrating the cement, a first mode of the multimode wellbore resonance is converted into a second mode different from the first mode. The receiver array detects a second acoustic response derived from the converted mode of the multimode wellbore resonance. The system determines the converted mode using the second acoustic response. A property of the cement is evaluated based on the multimode wellbore resonance and the converted mode.

Abstract: A method for identifying a cement bond. The method may include disposing an acoustic logging tool into a tubing of a wellbore, wherein the wellbore further comprises casing cemented to a formation by a cement. The method may further include transmitting an acoustic signal into at least part of the tubing and at least part of the casing, measuring one or more signal waves from the at least part of the tubing and the at least part of the casing, and computing an array waveform from the one or more signal waves. Additionally, the method may include applying a beamforming algorithm to the array waveform to form a filtered signal, identifying eccentricity of the tubing within the casing using the filtered signal, and identifying a cement bond between the cement and the casing.

Abstract: The disclosure presents processes to determine the direction and magnitude of tubing eccentricity along the length of a tube inserted within a borehole. The tubing can be a wireline, a drill string, a drill pipe, or tubing capable of allowing fluid or other material to flow through it. As borehole operations proceed, the tubing can move toward the side of the borehole. This eccentricity can cause excess wear and tear on the tubing, on the casing of the borehole, or on the inner surface of the subterranean formation. The eccentricity can be measured using acoustic signals that are collected downhole covering the azimuthal angles 0° to 360° at a location in the borehole. The collected signals can be filtered, transformed, and analyzed to estimate the tubing eccentricity. Other processes and systems can use the results to obtain cement bond evaluations through tubing and to determine preventative or restorative actions.