The present disclosure discloses a safety pipe loop and method for strain monitoring of mountainous pipelines. The safety pipe loop may include a plurality of magnetic test detectors and a protective shell for protecting the plurality of magnetic test detectors. The number of the plurality of magnetic test detectors may be set to 4n, n is an integer number greater than or equal to 1. An angle between any two adjacent detectors of the plurality of magnetic test detectors may be 180°/2n. At least two of the plurality of magnetic test detectors may be connected in parallel through a data transmission line and output data through a data transmission interface. An outer layer of the protective shell may include non-magnetic hard alloy, and an inner layer of the protective shell may include non-metallic materials.

A detecting device includes a first coil, a third coil, a second coil, and a fourth coil. The first coil generates a first magnetic field on a to-be-measured object. The third coil generates a third magnetic field under the to-be measured object. The second coil generates a second magnetic field. After the fourth coil receives the second magnetic field, a voltage is induced. The induced voltage is amplified by an amplify circuit to drive the third coil. The directions of the currents generated by the first coil and the third coil, respectively, are the same.

A method for identifying indications in an object via non-destructive testing using inspection equipment comprising a probe is described. The method includes: recording test data corresponding to a signal measurement acquired by the probe; processing the test data using a first analysis machine learning algorithm trained to output a list of detected landmarks; processing the list of detected landmarks to identify regions in the object based on the landmarks; processing the test data and the identified regions using a second analysis machine learning algorithm to output a list of detected indications; processing the list of indications to automatically classify each indication according to one of a plurality of predefined indication types; and outputting the classified indications in a report specifying positions of the classified indications in the object. A corresponding system and non-transitory computer-readable medium are also described.

A method for identifying indications in an object via non-destructive testing using inspection equipment comprising a probe is described. The method includes: recording test data corresponding to a signal measurement acquired by the probe; processing the test data using a first analysis machine learning algorithm trained to output a list of detected landmarks; processing the list of detected landmarks to identify regions in the object based on the landmarks; processing the test data and the identified regions using a second analysis machine learning algorithm to output a list of detected indications; processing the list of indications to automatically classify each indication according to one of a plurality of predefined indication types; and outputting the classified indications in a report specifying positions of the classified indications in the object. A corresponding system and non-transitory computer-readable medium are also described.

The present disclosure discloses a safety pipe loop and method for strain monitoring of mountainous pipelines. The safety pipe loop may include a plurality of magnetic test detectors and a protective shell for protecting the plurality of magnetic test detectors. The number of the plurality of magnetic test detectors may be set to 4n, n is an integer number greater than or equal to 1. An angle between any two adjacent detectors of the plurality of magnetic test detectors may be 180°/2n. At least two of the plurality of magnetic test detectors may be connected in parallel through a data transmission line and output data through a data transmission interface. An outer layer of the protective shell may include non-magnetic hard alloy, and an inner layer of the protective shell may include non-metallic materials.

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.

The present invention provides a surface property inspection method including a step of setting a resistance ratio between resistors R1 and R2 of an AC bridge circuit 20 in a surface properly inspection apparatus 1. The step includes a step for placing a non-surface-treated reference test pieces S on a reference detector 22 and an inspection detector 23 and measuring a first setting output signal while changing the resistance ratio , a step for placing the reference test piece S on the reference detector 22, placing a surface-treated setting test piece on the inspection detector 23, and measuring a second setting output signal while changing the resistance ratio, a step for calculating the differential value between the first and second output signals, and a step for setting the resistance ratio so that the absolute value of the differential value is maximized.

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.

Apparatus and methods for real-time fusion of data acquired using ultrasonic and eddy current area sensors during nondestructive examination. The ultrasonic data is acquired using an array of ultrasonic transducer elements configured to enable the production and display of a C-scan of a small area. The ultrasonic transducer array may be one- or two-dimensional. The eddy current sensor can be a single pair of induction coils, a multiplicity of coil pairs, or a coil configuration in which the numbers of drive coils and sense coils are not equal. The eddy current sensor is able to provide data about the test material, such as material thickness or conductivity, to complement the ultrasonic data or enable auto-setup of the ultrasonic inspection device.

A calibration device for a non-destructive inspection/measurement system is provided, including an excitation coil; a detection coil; and a computer that applies a sinusoidal signal or a combined signal including multiple sinusoids having mutually different frequencies to the excitation coil in order to excite a pipe body, and that detects changes in the output voltage of the detection coil. The calibration device calibrates the detection results in the computer by entering, as variables in simultaneous equations, the amplitudes and phase differences of the output voltage of the detection coil at multiple calibration points of known thickness on the pipe body. The calibration device performs calibrations by using multiple different calibration conditions at each of the calibration points, and entering, into the simultaneous equations, the amplitudes and phase differences of the output voltage of the detection coil for each of the calibration conditions.