Baker Hughes Oilfield Operations LLC

The Methodist Hospital

Peng Yuan

Toyli Anniyev

Marc Stephen Ramirez

Jaime Gateno

James Jiong Xia

Allan Jones

Baoyan Li

Joseph Olaiya

Jaehyuk Lee

David Chace

Andre' Porter

A detector to determine flaws in cement and casing associated with a formation using a visual representation of gamma rays received simultaneously through at least two windows that are of different sizes and that are diametrically opposite to each other in a rotating shield including a single scintillating crystal, where the visual representation is to indicate the flaws and includes a background with at least part of a contrast that is suppressed based in part on a gamma contrast range obtained from at least first gamma counts from gamma rays received at a first degree of alignment of the two windows with respect to an azimuth that is associated with the formation and second gamma counts from the gamma rays received at a second degree of alignment of the two windows that is offset from the first degree of alignment.

System and method for a cement and casing flaw detector with multi-sized

A method for identifying a defect within a cement layer of a multi string wellbore includes deploying a gamma scanner into the multistring wellbore, the gamma scanner including at least one source and at least one detector, the at least one source emitting radiation into the multistring wellbore and the at least one detector receiving backscatter radiation. The method also includes obtaining, from the gamma scanner, a count rate associated with at least one region of interest of the multistring wellbore. The method further includes identifying, based at least in part on data acquired from the gamma scanner, a background profile for the multistring wellbore. The method includes removing the background profile from the count rate. The method further includes identifying, within the at least one region of interest, a defect within the cement layer.

System and method for downhole gamma ray inspection behind multistring completions

Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a primal reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

Systems and methods for computer-aided orthognathic surgical planning

A method for identifying defects in a multi-barrier wellbore includes receiving log data, the log data corresponding to one or more wellbore operations, the log data including data from at least one measurement modality corresponding to a present measurement modality. The method also includes training, using the log data, a machine learning model. The method further includes acquiring wellbore data, via the present measurement modality, during a logging operation. The method also includes processing at least a portion of the wellbore data using the trained machine learning model. The method includes identifying one or more features of interest in the wellbore data, via the trained machine learning model.

Identification of wellbore defects using machine learning systems

In an embodiment, a method includes receiving a first measurement of gamma rays via a detector during a first period of time, receiving a second measurement of gamma rays via the detector during a second period of time, removing the second measurement from the first measurement to produce an inelastic spectrum, determining a spectral slope from the inelastic spectrum, determining a scaling factor based on the spectral slope, determining a spectral shape associated with the detector, determining a detector-induced spectrum by applying the scaling factor to the spectral shape, and removing the detector-induced spectrum from the inelastic spectrum to produce a clean inelastic spectrum.

Obtaining inelastic spectra free of detector born gamma rays induced by neutrons

A method for determining a tubing deviation from nuclear measurement data includes acquiring neutron measurement data from a wellbore. The method also includes identifying one or more features from the neutron measurement data. The method further includes determining, based at least in part on a pattern matching algorithm, that the one or more features are indicative of a tubular deviation. The method also includes determining, based at least in part on a comparison between the one or more features, a deviation amount.

Systems and methods for determining tubing deviations

Systems and methods for orthognathic surgical planning are described herein. An example computer-implemented method can include generating a composite three-dimensional (3D) model of a subject's skull, defining a global reference frame for the composite 3D model, performing a cephalometric analysis on the composite 3D model to quantify at least one geometric property of the subject's skull, performing a virtual osteotomy to separate the composite 3D model into a plurality of segments, performing a surgical simulation using the osteotomized segments, and designing a surgical splint or template for the subject.

A downhole logging tool includes a radiation generation source operable to emit radiation into a formation surrounding the tool and a radiation detector operable to detect backscattered radiation from the formation surrounding the tool. The tool also includes a sleeve positioned around the radiation generation source, the sleeve including at least one aperture for forming a pathway for a radiation beam, emitted from the radiation generation source, to enter the formation, the sleeve being rotatable about an axis of the tool to change a position of the aperture to distinctly inspect different regions of the formation.

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Houston, TX, United States of America

Peng Yuan