Abstract: Carbon Capture, Utilization, and Storage (CCUS) is a relatively new technology directed to mitigating climate change by reducing greenhouse gas emissions. Current and new government requirements require proof that carbon dioxide (CO2) is either sequestered in a stable form or safely stored for long periods of time. In instances when the CO2 is sequestered through mineral formation, the need for long-term monitoring can be reduced, as the stability of the sequestered CO2 is inherent based on a chemical change in subterranean rocks. The reactions between CO2 and rock formations are influenced by numerous factors, including temperature, pressure, fluid composition, and the mineralogy of the formation. Furthermore, these reactions occur over large spatial areas and long timescales, making them difficult to monitor directly.

Abstract: The present disclosure provides techniques to identify material properties from measured physical response data in ways that are more efficient than conventional numerical inversion. Systems and techniques of the present disclosure may use machine learning (ML) techniques to generate mappings that map specific physical responses to specific material properties based on knowledge of factors that may be inherent to certain types of sensing equipment. Data generated by a ML computer model may be constrained, altered, or filtered to more closely correspond to characteristics known to be associated with a certain type of sensing equipment. Such a constrained model may identify fewer possible results as compared to an unconstrained model, thereby, solving problems that may be encountered when using ML techniques to identify material properties from measured responses.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for azimuthal defect evaluation through electromagnetic pipe inspection tools. A tool for monitoring an integrity of a well tubular can comprise a transmitter station with transmitter coil(s) configured to excite eddy currents in the well tubular. The tool can comprise a receiver station with receiver coil(s) to measure electromagnetic fields generated by the eddy currents. The tool can generate tool measurements in a first dimension that is axial depth, a second dimension that is azimuth, and a third dimension that is radial depth based on the measured electromagnetic field. At least one of the transmitter and receiver coils can have a polarization axis orthogonal to an axis of the well tubular. Further, one of the transmitter station and the receiver station comprises only non-azimuthal sensors.

Abstract: Aspects of the subject technology relate to systems, methods, and computer readable media for simulating a tool response. A synthetic formation can be generated based on one or more imaging properties. A tool response of an imaging tool operating according to one or more operational parameters can be simulated to generate a synthetic tool response. A change to at least one of the one or more imaging properties and the one or more operational parameters can be identified. The tool response of the imaging tool operating according to the change can be simulated to generate a modified synthetic tool response. A representation of the modified synthetic tool response can be reproduced to show an effect of the change to at least one of the one or more imaging properties and the one or more operational parameters on the tool response of the imaging tool.

Abstract: Described herein are systems and techniques for monitoring substances that are injected into an Earth formation whether that be CO2 from a carbon capture and storage (CCS) process, or water or steam injected for an enhanced oil recovery (EOR) process. Components located on an outside of a wellbore casing may be electrically isolated from components located on the inside of the wellbore casing. Data and/or power may be transferred through the wellbore casing wirelessly in order to increase the reliability of a data collection system because the need for wires to be placed on the outside surface of a wellbore casing is eliminated. The components located on the outside of the casing may receive electromagnetic (EM) or transmit EM fields as part of a system that collects data about substances that are injected into Earth formations during a CCS or EOR process.

Abstract: Described herein are systems and techniques for monitoring for monitoring and evaluating conditions associated with a wellbore and wellbore operations that use neural operators instead of computationally intensive iterative differential equations. Such systems and techniques allow for determinations to be made as operations associated with a wellbore are performed. Instead of having to wait for computationally intensive tasks to be performed or take risks of proceeding with a wellbore operation without real-time evaluations being performed, these wellbore operations may be continued while determinations are timely made, thus improving operation of computing systems that perform evaluations and that make decisions regarding safely and efficiently performing wellbore operations such as drilling a wellbore, cementing wellbore casings in place, or injecting fluids into formations of the Earth.

Abstract: Described herein are systems and techniques for monitoring substances that are injected into an Earth formation whether that be CO2 from a carbon capture and storage (CCS) process, or water or steam injected for an enhanced oil recovery (EOR) process. Components located on an outside of a wellbore casing may be electrically isolated from components located on the inside of the wellbore casing. Data and/or power may be transferred through the wellbore casing wirelessly in order to increase the reliability of a data collection system because the need for wires to be placed on the outside surface of a wellbore casing is eliminated. The components located on the outside of the casing may receive electromagnetic (EM) or transmit EM fields as part of a system that collects data about substances that are injected into Earth formations during a CCS or EOR process.

Abstract: Described herein are systems and techniques for monitoring substances that are injected into an Earth formation whether that be CO2 from a carbon capture and storage (CCS) process, or water or steam injected for an enhanced oil recovery (EOR) process. Components located on an outside of a wellbore casing may be electrically isolated from components located on the inside of the wellbore casing. Data and/or power may be transferred through the wellbore casing wirelessly in order to increase the reliability of a data collection system because the need for wires to be placed on the outside surface of a wellbore casing is eliminated. The components located on the outside of the casing may receive electromagnetic (EM) or transmit EM fields as part of a system that collects data about substances that are injected into Earth formations during a CCS or EOR process.

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: Some implementations include a method for estimating a first pipe thickness of a first pipe within multiple nested conductive pipes, the method comprising: forming a measured log including a set of log measurements at different depths using an electromagnetic pulsed tool disposed in multiple nested conductive pipes in a wellbore; generating a plurality of remote-field eddy current (RFEC) look-up curves based on measurements of normalized signal level responses for the multiple nested conductive pipes at one or more points in a time decay response; and selecting an RFEC look-up curve from the plurality of RFEC look-up curves at a point in the time decay response that indicates the first pipe thickness of the first pipe.

Abstract: Described herein are systems and techniques for monitoring for monitoring and evaluating conditions associated with a wellbore and wellbore operations that use neural operators instead of computationally intensive iterative differential equations. Such systems and techniques allow for determinations to be made as operations associated with a wellbore are performed. Instead of having to wait for computationally intensive tasks to be performed or take risks of proceeding with a wellbore operation without real-time evaluations being performed, these wellbore operations may be continued while determinations are timely made, thus improving operation of computing systems that perform evaluations and that make decisions regarding safely and efficiently performing wellbore operations such as drilling a wellbore, cementing wellbore casings in place, or injecting fluids into formations of the Earth.

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: 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: 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 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.