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: Apparatus and methods to investigate a multiple nested conductive pipe structure can be implemented in a variety of applications. An electromagnetic pulsed tool disposed in the multiple nested conductive pipe structure in a wellbore can make a set of log measurements and provide a measured log at different depths in the multiple nested conductive pipe structure. The total thickness of the multiple nested conductive pipes can be determined at each depth in the measured log using a remote field eddy current look-up curve. The remote field eddy current look-up curve can be correlated to a remote field eddy current regime in time-domain associated with time decay response. Additional apparatus, systems, and methods are disclosed.

Abstract: A system for inspecting a tubular may comprise an electromagnetic (EM) logging tool and information handling system. The EM logging tool may further include a mandrel, one or more sensor pads attached to the mandrel by one or more extendable arms, and one or more partial saturation eddy current sensors disposed on each of the one or more sensor pads.

Abstract: A gate mechanism (20) is adapted for mounting within the extension (4) of a trawl net (1), the gate mechanism comprising a turbine (47/147/247) for powering rotation of the gate mechanism as it is dragged through the water within the trawl net.

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 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: A multifunctional drilling enhancement tool includes a shaft having a bore extending along a longitudinal direction (X); a main cutting device rotatably and slidably attached to the shaft; a first housing fixedly attached to a first end of the shaft; a second housing fixedly attached to a second end of the shaft; first and second proximal engagement elements attached to opposite ends of the main cutting device; and first and second distal engagement elements attached to corresponding ends of the first and second housings, so that the first distal engagement element is directly facing the first proximal engagement element, and the second distal engagement element is directly facing the second proximal engagement element.

Abstract: A system includes an electromagnetic inspection device, a processing device, and a memory device. The electromagnetic inspection device includes at least one transmitter that can transmit an electromagnetic signal toward a wall of a flexible pipe. The electromagnetic inspection device also includes at least one receiver that can receive at least one scattered electromagnetic signal from the wall of the flexible pipe. The memory device includes instructions executable by the processing device to cause the processing device to transmit an electromagnetic signal using the transmitter, to receive the scattered electromagnetic signal using the receiver, and to identify at least one anomaly in the wall of the flexible pipe using the scattered electromagnetic signal.

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 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 system for inspecting a tubular may comprise an electromagnetic (EM) logging tool and information handling system. The EM logging tool may further include a mandrel, one or more sensor pads attached to the mandrel by one or more extendable arms, and one or more partial saturation eddy current sensors disposed on each of the one or more sensor pads.

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 and system for estimating a pipe property for a plurality of nested pipes. The method may comprise disposing an electromagnetic 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 a pipe string to energize the pipe string with the electromagnetic field thereby producing an eddy current that emanates from the pipe string, measuring the eddy current in the pipe string with the receiver on at least one channel to obtain a plurality of measurements, forming a log from the plurality of measurements, zoning the log into a plurality of zones based at least in part on a well plan, and extracting a representative signal for each zone of the plurality of zones.

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: Methods and systems for inspecting the integrity of multiple nested tubulars are included herein. 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; arranging the measurements into a response image representative of the tool response to the tubular integrity properties of the multiple nested tubulars; and feeding the response image to a pre-trained deep neural network (DNN) to produce a processed image, wherein the DNN comprises at least one convolutional layer, and wherein the processed image comprises a representation of the tubular integrity property of each individual tubular of the multiple nested tubulars.

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.