Abstract:
A system and method for electromagnetic measurements. The system may comprise an electromagnetic transmitter, wherein the electromagnetic transmitter is an antenna and is operable to transmit a low frequency electromagnetic field into a formation or a high frequency electromagnetic field into the formation. The system may further comprise an electromagnetic receiver, wherein the electromagnetic receiver is an antenna and is operable to record the high frequency electromagnetic field or the low frequency electromagnetic field. The method may comprise transmitting a high frequency electromagnetic field, recording a high frequency electromagnetic field, transmitting a low frequency electromagnetic field, recording a low frequency electromagnetic field, performing a shallow inversion on the low frequency electromagnetic field and the high frequency electromagnetic field to form a formation resistivity model, and running the deep inversion with the random initial guesses that have the misfit.
Abstract:
A method may comprise: inserting into a wellbore penetrating a subterranean formation an apparatus comprising: a transmitter sub comprising a transmitter coil; a first receiver sub comprising a first receiver coil; a second receiver sub comprising a second receiver coil; and a third receiver sub comprising a third receiver coil; generating an electromagnetic wave at the transmitter coil; propagating the electromagnetic wave through the subterranean formation; receiving the electromagnetic wave in the first receiver coil, the second receiver coil, and the third receiver coil; generating a plurality of response signals, wherein the plurality of response signals comprises a first response signal in the first receiver coil, a second response signal in the second receiver coil, and a third response signal the third receiver coil; solving a series of linear equations defined by an orientation of the transmitter sub in the wellbore, orientation in the wellbore for each of the first receiver coil, the second receiver coil, and the third receiver coil, and the plurality of response signals to determine a Green's response tensor.
Abstract:
A system and method for evaluating a subterranean earth formation as well as a method of steering a drill bit in a subterranean earth formation. The system comprises a logging tool that is operable to measure formation data and locatable in a wellbore intersecting the subterranean earth formation. The system also comprises a processor that is in communication with the logging tool. The processor is operable to calculate multiple distance-to-bed-boundary (DTBB) solutions using the measured formation data, identify DTBB solutions that satisfy a threshold, convert the identified solutions into pixelated solutions by dividing the identified solutions into pixels, generate a formation model based on the pixelated solutions, and evaluate the formation using the generated formation model.
Abstract:
A dielectric logging tool for use in a borehole that penetrates a subsurface formation, includes: at least one wall-contacting face with one or more embedded microstrip antennas including a transmit antenna; an oscillator that supplies a transmit signal; a coherent receiver that measures the one or more scattering coefficients; and a processor that derives a formation property from the one or more scattering coefficients. The tool may be conveyed along a borehole, with the scattering coefficients and derived formation property values associated with tool position and orientation to provide a permittivity log.
Abstract:
Methods and tools for modifying magnetic tilt angle using a magnetically anisotropic material are disclosed. An electromagnetic logging tool includes an antenna coil oriented at a physical tilt angle relative to a longitudinal axis of the tool and a magnetically anisotropic material that modifies a magnetic tilt angle of the coil relative to the physical tilt angle a coil tilted at a physical tilt angle relative to an axis of the tool.
Abstract:
Borehole images can be corrected using machine-learning models. For example, a system can train a machine-learning model based on a training dataset. The training dataset can include a first set of borehole images correlated to a second set of borehole images, where the second set of borehole images are less precise versions of the first set of borehole images. The system can then execute the trained machine-learning model in relation to an input borehole image to receive a corrected borehole image as output from the trained machine-learning model. The corrected borehole image can be a visually corrected version of the input borehole image. The system may then perform one or more operations based on the corrected borehole image, such as generating a graphical user interface that includes the corrected borehole image for display on a display device.
Abstract:
Numerical and/or semi-analytical methods are leveraged to decouple a complete set of nonzero electromagnetic field tensor components (118) from detected signal data (119). Nine nonzero components can serve as inputs for a three-dimensional inversion process to determine formation properties. A resistivity tool (100) containing at least one transmitter (111) and at least one receiver (108, 109) at tilted angles receives an electromagnetic signal throughout a rotation. A difference in the azimuthal positions of the transmitter(s) and receiver(s) during rotation of the resistivity tool can result in an azimuthal offset between resistivity tool subs. The components (118) are decoupled from the detected signal data (119) numerically or semi-analytically according to whether the azimuthal offset angle is known. If the azimuthal offset angle is known, the nine components are determined numerically through curve fitting. If the azimuthal offset angle is unknown, a semi-analytical process is used to solve for the nine components.
Abstract:
A method and system for determining a position of a second production wellbore. The method may comprise inducing a first current into a first conductive member with a first source, emitting a first magnetic field generated by the first current from the first conductive member into a formation, inducing a second current into a second conductive member with a second source, emitting a second magnetic field generated by the second current from the second conductive member into the formation, disposing an electromagnetic sensor system into the second production wellbore, recording the first magnetic field with the at least one sensor from the formation, and recording the second magnetic field with the at least one sensor from the formation. The system may comprise a first source, an electromagnetic sensor system, at least one sensor and an information handling system configured to determine the position of the second production wellbore.
Abstract:
A method of real-time impedance matching includes conveying a tool through a borehole where the tool includes a transmit cavity antenna and receive cavity antenna for transmitting and receiving signals through a subsurface formation. The tool also includes a cable for routing signals within the tool and at least one variable inductor or variable capacitor in an impedance-matching circuit. The method further includes measuring a reflection of a signal transmitted through the formation and determining a target impedance based on the impedance of the cable and the reflection. The method further includes adjusting the at least one variable inductor or variable capacitor such that the impedance of the matching circuit substantially equals the target impedance and receiving a signal from the formation via the adjusted impedance of the matching circuit.
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.