Abstract: Methods and systems for inspecting the integrity of multiple nested tubulars are provided. A method for inspecting the integrity of multiple nested tubulars can comprise conveying an electromagnetic pipe inspection tool inside the innermost tubular of the multiple nested tubulars; taking measurements of the multiple nested tubulars with the electromagnetic pipe inspection tool; inverting the measurements for a tubular integrity property of each individual tubular of the multiple nested tubulars to provide inverted tubular integrity properties; arranging the inverted integrity properties into an inverted image representative of an estimated tubular integrity property of each individual tubular; and feeding the inverted image to a pre-trained deep neural network (DNN) to produce a corrected image, wherein the DNN comprises at least one convolutional layer, and wherein the corrected image comprises a representation of the tubular integrity property of each individual tubular of the multiple nested tubulars.

Abstract: Methods and systems for leak detection are provided herein. A method for leak detection can comprise conveying an acoustic leak detection tool inside the innermost tubular of the multiple nested tubulars; taking measurements of the multiple nested tubulars at multiple measurement depths with the acoustic leak detection tool; arranging the measurements into a response image; and feeding the response image to a pre-trained deep neural network (DNN) to produce a flow likelihood image, wherein the DNN comprises at least one convolutional layer, and wherein the flow likelihood image comprises a representation of one or more flow patterns in at least one annulus formed by the multiple nested tubulars.

Abstract: A method for identifying one or more imaging properties. The method may comprise identifying one or more candidate mud constants, taking one or more measurements from a borehole with a downhole tool to form an image log, inputting into a machine learning model one or more inputs such that the machine learning model outputs one or more estimated imaging properties, and inputting into a forward model at least the one or more estimated imaging properties and the one or more candidate mud constants such that the forward model outputs one or more reconstructed tool responses. The method may further comprise computing a misfit between the one or more reconstructed tool responses and the one or more measurements, picking a mud candidate from the one or more candidate mud constants based at least in part on the misfit, and producing one or more imaging properties from the picked mud candidate.

Abstract: Techniques are described that enables controlling the TNULL characteristic of a self-compensated oscillator by controlling the magnitude and direction of the frequency deviation versus temperature, and thus, compensating the frequency deviation.

Abstract: A method for enhancing a formation property image may include taking at least one set of formation property measurements with a borehole imaging device, arranging the at least one set of formation property measurements into a two-dimensional image with a buffer, feeding the two-dimensional image into a deep-learning neural network (DNN), and forming a corrected formation property image from the two-dimensional image. The method may further include inverting the at least one set of formation property measurements to form at least one set of inverted formation property measurements and arranging the at least one set of inverted formation property measurements into a two-dimensional image with a buffer.

Abstract: A method for estimating a pipe property for a plurality of nested tubulars. The method may comprise disposing an electromagnetic (EM) logging tool in a wellbore. The electromagnetic logging tool may comprise a transmitter disposed on the electromagnetic logging tool and a receiver disposed on the electromagnetic logging tool. The method may further comprise transmitting an electromagnetic field from the transmitter into one or more tubulars, measuring the eddy current in the pipe string with the receiver on at least one channel to obtain a plurality of measurements, forming an EM log from the plurality of measurements, extracting data and distinct features from the EM log, forming a relationship between the EM log data and a database, wherein the database is formed from one or more high-resolution measurements, and producing a mapping function between the EM log and the database.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for controlling borehole imaging blending through machine learning. A blending parameter machine learning model can be trained through a supervised machine learning technique with a dataset of known input and known output associated with an electromagnetic imager tool. The blending parameter machine learning model is associated with an image blending technique for blending images generated through the electromagnetic imager tool at different frequencies. One or more blending parameters for the image blending technique can be identified by applying the blending parameter machine learning model to measurements of the electromagnetic imager tool operating to log a wellbore across a plurality of frequencies. One or more blended images can be generated by applying the image blending technique according to the one or more blending parameters to a plurality of images of the measurements made by the electromagnetic imager tool.

Abstract: A method and a system for estimating a pipe property for a plurality of nested pipes. The method may comprise determining the pipe property from the plurality of measurements, wherein the pipe property identifies a feature in the wellbore, forming a pre-computed table of responses for the at least one channel comprising a plurality of points that sample the pipe property, and performing a model-based inversion to estimate the pipe property using the plurality of measurements, the nominal properties of the pipes, and a fast forward model based on the pre-computed table of responses. A system may comprise an electromagnetic logging tool and an information handling system. The electromagnetic logging tool may comprise a transmitter, wherein the transmitter is a first coil and is operable to transmit an electromagnetic field, and a receiver, wherein the receiver and is operable to measure the electromagnetic field.

Abstract: A method and system for identifying a deformation. The method may comprise disposing an electromagnetic logging tool in a pipe string, performing a logging operation with the electromagnetic logging tool, transmitting an electromagnetic field from a transmitter, energizing the casing string with the electromagnetic field to produce an eddy current, measuring the eddy current with at least one receiver, processing the measurements of the eddy current to find a point-wise eccentricity between the casing string and the pipe string, identifying a zone with the deformation based at least in part on the point-wise eccentricity, determining at least one characteristic of the deformation, and making a wellbore decision related to an integrity of the casing string based on the at least one characteristic of the deformation or the point-wise eccentricity. The system may comprise an electromagnetic logging tool which may comprise a transmitter and at least one receiver.

Abstract: A method and system for locating one or more bed boundaries. A method for locating one or more bed boundaries may include disposing a downhole tool into a wellbore, measuring wellbore wall resistivity with the downhole tool, extracting a vertical voltage measurement, deconvolving the vertical voltage measurement with an impulse response an apparent resistivity, and calculating a derivative of the apparent resistivity and finding one or more peaks of the derivative to determine the locations of the one or more bed boundaries. A well measurement system for locating one or more bed boundaries may include a downhole tool. The downhole tool may include a pad, an arm, a receiver disposed on the pad, and a transmitter disposed on the pad. The well measurement system may further comprise a conveyance and an information handling system.

Abstract: A method for identifying one or more imaging properties. The method may comprise identifying one or more candidate mud constants, taking one or more measurements from a borehole with a downhole tool to form an image log, inputting into a machine learning model one or more inputs such that the machine learning model outputs one or more estimated imaging properties, and inputting into a forward model at least the one or more estimated imaging properties and the one or more candidate mud constants such that the forward model outputs one or more reconstructed tool responses. The method may further comprise computing a misfit between the one or more reconstructed tool responses and the one or more measurements, picking a mud candidate from the one or more candidate mud constants based at least in part on the misfit, and producing one or more imaging properties from the picked mud candidate.

Abstract: A method and system for determining properties of a pipe string using multi-channel induction measurements. The method may comprise disposing a multi-channel induction tool in a cased hole, obtaining a multi-channel measurement, forming a log from the multi-channel measurement, extracting at least one abnormality that corresponds to known metal thickness, performing a search to find a set of pipe material properties that minimize a mismatch between the abnormality and a simulated response, and inverting the log to estimate the set of pipe material properties at one or more depth points using the set of pipe material properties. The system may comprise a multi-channel induction tool. The multi-channel induction tool may comprise at least one transmitter, at least one receiver, and an information handling system.

Abstract: A method and a system for determining metal loss in a layered system. The method may comprise disposing an EM metal loss tool downhole, broadcasting an electromagnetic field from the one or more transmitters of the EM metal loss tool into the layered system, recording the altered electromagnetic field with the one or more receivers, processing the signal with an information handling system, and determining metal loss in the layered system. A system may comprise an EM metal loss tool. The EM electromagnetic metal loss tool may comprise at least one transmitter and at least one receiver. The system may further comprise a conveyance, wherein the conveyance is attached to the electromagnetic metal loss tool, and an information handling system, wherein the information handling system is configured to process the altered electromagnetic field and determine metal loss in the layered system.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for controlling borehole imaging blending through machine learning. A blending parameter machine learning model can be trained through a supervised machine learning technique with a dataset of known input and known output associated with an electromagnetic imager tool. The blending parameter machine learning model is associated with an image blending technique for blending images generated through the electromagnetic imager tool at different frequencies. One or more blending parameters for the image blending technique can be identified by applying the blending parameter machine learning model to measurements of the electromagnetic imager tool operating to log a wellbore across a plurality of frequencies. One or more blended images can be generated by applying the image blending technique according to the one or more blending parameters to a plurality of images of the measurements made by the electromagnetic imager tool.

Abstract: An apparatus includes a processor and a machine-readable medium having program code executable by the processor to cause the apparatus to obtain a scan result based on a core sample, generate a set of contours of the scan result, and generate a set of object associations, wherein the set of object associations includes a first object association that is associated with a first contour from the set of contours and a second contour from the set of contours. The program code also generates a set of contour connections, wherein the set of contour connections includes a first contour connection that is based on the first object association. The program code also generates a reconstructed core having a three-dimensional space based on the set of contour connections, wherein the three-dimensional space includes a volume greater than the core sample.

Abstract: A method and system for estimating parameters of pipes. The method may comprise disposing an electromagnetic (EM) logging tool into a pipe string, creating a log from a first set of one or more measurements, and creating a synthetic model of one or more nested pipes based at least in part on a well plan. The method may further comprise adding a modeled pipe to the synthetic model, estimating one or more parameters of the modeled pipe through model calibration to form a calibrated model, and performing an inversion with the calibrated model to estimate one or more pipe parameters of the pipe string. The system may comprise an electromagnetic logging tool that may comprise a transmitter, wherein the transmitter is a first coil and is operable to transmit an electromagnetic field, and a receiver, wherein the receiver is a second coil and is operable to measure the electromagnetic field.

Abstract: The disclosure provides a method of evaluating wellbore casing integrity for a wellbore casing configuration. In one example, the method includes providing one or more electromagnetic signals to at least one casing of the wellbore casing configuration, receiving an electromagnetic response measurement that is based on the one or more electromagnetic signals from a selected circumferential portion of the at least one casing of the wellbore casing configuration, and processing the electromagnetic response measurement to produce a metal loss calculation for the selected circumferential portion of the at least one casing of the wellbore casing configuration. A wellbore casing integrity tool and a wellbore casing integrity computing device for evaluating wellbore casing integrity are also provided.

Abstract: A method includes generating a set of sub-images of a subsurface formation based on measurement values acquired by a plurality of sensors corresponding to one or more signals that have propagated through the subsurface formation, wherein each of the set of sub-images correspond to one of the plurality of sensors. The plurality of sensors are on a tool in a borehole, wherein each of the plurality of sensors are at different spatial positions with respect to each other. The method also includes generating a combined image by aligning the set of sub-images based on the measurement values, wherein the aligning of the set of sub-images is independent of acceleration of the tool during tool motion.

Abstract: A method for detecting corrosion may comprise placing an electromagnetic logging tool into a wellbore, emitting an electromagnetic field from a transmitter, energizing a casing with the electromagnetic field to produce an eddy current, recording the eddy current from the casing with a receiver, creating a well log from the recorded eddy current, removing a collar signal from the well log to obtain a collar-removed signal, calculating a baseline signal from the collar-removed signal, subtracting the baseline signal from the collar-removed signal to obtain a baseline-subtracted signal, calculating an artifact-removed signal with the baseline-subtracted signal, and displaying the artifact-removed signal. A system for detecting corrosion may comprise an electromagnetic logging tool, wherein the electromagnetic logging tool comprises a transmitter and a receiver. The system may further comprise an information handling system.

Abstract: A method comprising: disposing an induction tool in a cased hole, wherein the induction tool comprises a transmitter and a receiver; broadcasting electromagnetic fields from the transmitter into a subterranean formation to form an eddy current; recording the eddy current with the receiver to produce induction measurements; obtaining a log comprising at least one channel from the induction measurements; constructing an inversion cost functional comprising a misfit term and a regularization term; performing a first inversion using the inversion cost functional to estimate pipe properties at a first plurality of depth points; optimizing the inversion cost functional such that the estimated pipe properties at the first plurality of depth points minimize an objective functional; performing a second inversion using the optimized inversion cost functional to estimate pipe properties at a second plurality of depth points; and displaying the pipe properties at the second plurality of depth points to a user.