General Electric Company

Exxonmobil Upstream Research Company

Ge Energy Oilfield Technology, Inc.

Cytiva Sweden Ab

Ge Healthcare Bio-sciences Corp.

Exxonmobil Research Upstream

Leica Microsystems Cms Gmbh

Bl Technologies, Inc.

Global Life Sciences Solutions USA LLC

Ali Can

Michael John Gerdes

Xiaodong Tao

Musodiq O Bello

Erhan Bas

Harvey E Cline

Jens Rittscher

Robert John Filkins

Alberto Santamaria-Pang

Mark Wayne Dobin

Paulo Ricardo Mendonca

Leslie A Wahrmund

Shubao Liu

Maximilian Lewis Seel

Weina Ge

Xiaojie Huang

Mary Katherine Johns

Robert August Kaucic

John Christopher Boot

Jie Yu

Dirk Ryan Padfield

Michael Christopher Montalto

Fiona Ginty

Qing Li

Zhengyu Pang

Zhaohui Harry Sun

Joseph Manuel Portaz

Klaus Gebauer

Bruno Kristiaan Bernard De Man

Victor Petrovich Ostroverkhov

Frederick Wilson Wheeler

Anup Sood

Guanghua Wang

Clifford Bueno

Matthias Imhof

Siavash Yazdanfar

Yi Xu

Thomas Graham Spears

Arun Karthi Subramaniyan

Hanno Ehring

Aditya Kumar

Brion Daryl Sarachan

Dmitry Vladimirovich Dylov

Yousef Ahmed Al-Kofahi

Roshni Bhagalia

Christopher James Sevinsky

Andrew David Pris

Megan Pearl Rothney

Thomas G Szudajski

Gianni Matteucci

John Charles Janning

Xudong Li

Joanna Mechelle Jayawickrema

Khan Mohamed Khirullah Genghis Khan

Xingwei Yang

Esmaeil Heidari

Kelly E Wrobel

Eri Haneda

Adrian Gabriel Loghin

Dongrui Wu

Pierre Le Greves

Jiajia Luo

Francis Edward Pavan-Woolfe

Sam Petrocelli

Jozsef Vasi

Maureen Ann Bresnahan

Elizabeth P Roquemore

Umesha Adiga

Cemal Cagatay Bilgin

Antonio Rafael Da Costa Paiva

Harvey Ellis Cline

Harvey Cline

Fiona Mary Ginty

Umesh Adiga

Dirk R Padfield

A device and method for detecting the level of foam in a reactor vessel monitors the intensity of the light or the movement of the light detected by a camera which monitors at least one light source positioned inside the reactor vessel or viewable through the reactor vessel.

Detection of foam levels

A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.

Recoater automated monitoring systems and methods for additive manufacturing machines

A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.

Context based bounded hydrocarbon formation identification

System for analyzing scan data of a core sample includes an imaging system for obtaining images of a first segment and a second segment of the core sample, and one or more processors for receiving the images of the first segment and the second segment, and setting the images of the first segment adjacent to the images of the second segment coaxially in series to form a stacked image. The method includes receiving image data of segments of the core sample, determining values representative of one or more physical characteristics of the core sample, comparing the values to known reference information of a material similar to the material of the core sample, and determining the one or more physical characteristics of the core sample based at least in part on the comparison.

Methods and systems for scan analysis of a core sample

A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.

System and method for seismic data interpretation

A method includes accessing a seismic image comprising a plurality of features of interest. The method also includes defining a plurality of configuration files for a plurality of graphical models. The method further includes applying the plurality of graphical models to the seismic image. The method also includes generating a plurality of scores for each feature of interest, wherein each graphical model generates a score for each feature of interest. The method further includes combining the plurality of scores for each feature of interest into a plurality of combined scores, wherein each feature of interest has a combined score.

System and method for optimizing seismic data analysis

A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.

Systems and methods for quantitative microcirculation state monitoring

A method includes retrieving a seismic data set, receiving training data that includes one or more seed points of an identified geobody, determining a geobody trajectory of the identified geobody, based on the one or more seed points of the identified geobody, displaying the geobody trajectory, receiving inputs expanding the geobody trajectory, shrinking the geobody trajectory, confirming the geobody trajectory, or a combination thereof, training a classification algorithm using the geobody trajectory, running the classification algorithm on the seismic data set, receiving an output of one or more sets of voxels from the classification algorithm, skeletonizing the one or more sets of voxels to present the one or more sets of voxels as a set of possible geobody trajectories, and retraining the classification algorithm based on feedback received from a reviewer.

Expert guided knowledge acquisition system for analyzing seismic data

A workflow is presented that facilitates defining geocontextual information as a set of rules for multiple seismic attributes. Modeling algorithms may be employed that facilitate analysis of multiple seismic attributes to find candidate regions that are most likely to satisfy the set of rules. These candidates may then be sorted based on how well they represent the geocontextual information.

Context based geo-seismic object identification

A method of analyzing a core sample from a wellbore by creating a visual composite image of the core sample that is based on a scan of the core sample. The scan directs radiation at the core sample, such as a computerized tomography (CT) scan, and obtains scan data by estimating radiation absorbed by material in the core sample. The composite image is made up of an arrangement of voxels, where each voxel represents a designated volume of the core sample, and is are assigned a value that corresponds to a measured value of radiation absorbed in the designated volume of the core sample.

Method for analyzing core sample from wellbore, involves analyzing zone of interest in core sample, and forming image of core sample to spatially represent characteristics of core sample

A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.

Dictionary learning based image reconstruction

The approaches presently disclosed provide for fault-interpretation in a seismic volume with computer assistance, allowing automatic or semi-automatic determination of a fault surface and associated displacement across the fault. The present fault interpretation approach uses pattern matching algorithms and does not require prior interpretation of the stratigraphic horizons. In certain implementations the fault interpretation approach estimates the 3D fault surface as part of a joint fault surface location and displacement optimization process.

Computer-assisted fault interpretation of seismic data

A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.

Methods and systems for detecting component wear

An approach for seismic data analysis is provided. In accordance with embodiments of this approach, parallel regions within a volume of seismic data are modeled. Residual regions within the volumetric data set are identified, where the residual regions comprise those regions not modeled as parallel regions. The residual regions or a graphic derived from the residual regions are displayed for review.

Modeling of parallel seismic textures

Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

System and method for multiplexed biomarker quantitation using single cell segmentation on sequentially stained tissue

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Troy, NY, United States of America

Ali Can