Abstract: A method and system for correlating two or more logs. The method may include reviewing an openhole log to identify one or more depths within a wellbore for testing, disposing a fluid sampling tool into the wellbore, creating a correlation log with the fluid sampling tool, depth-matching the correlation log to the openhole log to create a relative shift table, and moving the fluid sampling tool to the one or more depths within the wellbore based at least in part on the relative shift table. The system may include a fluid sampling tool disposed in a wellbore to create a correlation log and an information handling system connected to the fluid sampling tool.

Abstract: Disclosed is a way of identifying parameters of physical substances from measurement data using symbolic regression. Methods of the present disclosure may receive measurement data and information that identifies parameters of rock samples with known compositions and may generate formulas that estimate relationships between the measurement data and the parameters. Systems of the present disclosure may use transmitters that transmit energy and receivers that sense measurement data in association with the transmitted energy. Formulas generated by these methods may be updated when a model is trained using known parameters. Calculations may be performed, and results of those calculations may be compared to the measurement data. Formulas may be updated until the results calculated according to an updated formula match, to a threshold degree, the measurement data.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for corrosion analysis using magnetic flux leakage measurements. The present technology can magnetic flux leakage data obtained by a magnetic flux leakage tool placed in a pipe within a wellbore and convert the magnetic flux leakage data into image data. Further, the present technology can provide the image data to a machine learning model. The machine learning model is configured to identify one or more physical parameters associated with corrosion present on the pipe.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for corrosion analysis using magnetic flux leakage measurements. The present technology can magnetic flux leakage data obtained by a magnetic flux leakage tool placed in a pipe within a wellbore and convert the magnetic flux leakage data into image data. Further, the present technology can provide the image data to a machine learning model. The machine learning model is configured to identify one or more physical parameters associated with corrosion present on the pipe.

Abstract: A method and system for correlating two or more logs. The method may include reviewing an openhole log to identify one or more depths within a wellbore for testing, disposing a fluid sampling tool into the wellbore, creating a correlation log with the fluid sampling tool, depth-matching the correlation log to the openhole log to create a relative shift table, and moving the fluid sampling tool to the one or more depths within the wellbore based at least in part on the relative shift table. The system may include a fluid sampling tool disposed in a wellbore to create a correlation log and an information handling system connected to the fluid sampling tool.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for corrosion analysis using magnetic flux leakage measurements. The present technology can magnetic flux leakage data obtained by a magnetic flux leakage tool placed in a pipe within a wellbore and convert the magnetic flux leakage data into image data. Further, the present technology can provide the image data to a machine learning model. The machine learning model is configured to identify one or more physical parameters associated with corrosion present on the pipe.

Abstract: A method and system may include disposing an electromagnetic (EM) logging tool in a wellbore. The EM logging tool may include a transmitter disposed on the EM logging tool and a receiver disposed on the EM logging tool. The method may further include transmitting an electromagnetic field from the transmitter into one or more, measuring the eddy current in the one or more tubulars with the receiver, and forming an EM log from the plurality of measurements. Additionally, the method may include identifying a representative signature of a collar from the EM log, locating a plurality of signatures that are similar to the representative signature, iteratively locating a collar signature based at least in part on the representative signature, the plurality of signatures that are similar to the representative signature, and a joint length; and displaying a depth for each of the one or more collars.

Abstract: A method and system may include disposing an electromagnetic (EM) logging tool in a wellbore. The EM logging tool may include a transmitter disposed on the EM logging tool and a receiver disposed on the EM logging tool. The method may further include transmitting an electromagnetic field from the transmitter into one or more, measuring the eddy current in the one or more tubulars with the receiver, and forming an EM log from the plurality of measurements. Additionally, the method may include identifying a representative signature of a collar from the EM log, locating a plurality of signatures that are similar to the representative signature, iteratively locating a collar signature based at least in part on the representative signature, the plurality of signatures that are similar to the representative signature, and a joint length; and displaying a depth for each of the one or more collars.