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Yingwei W Yu

from Katy, TX
Age ~49
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Also known as:
Ying Wei Yu, Ying-Wei Yu
Phone and address:
9911 Touhy Lake Dr, Katy, TX 77494
(281) 844-4955
Connected to:
Ai L Yu, 75Aihong Yu, 51Ana R Yu, 80Angelica M Yu, 29Angie Yu, 62Anhua Yu, 51Annette A Yu, 78Bang W Yu, 93Baojian Yu, 65Bean H Yu, 35

Yingwei Yu Phones & Addresses

  • 9911 Touhy Lake Dr, Katy, TX 77494 (281) 844-4955
  • 23518 Desert Gold Dr, Katy, TX 77494
  • Houston, TX
  • 603 Southwest Pkwy, College Station, TX 77840

Resumes

Resumes

Yingwei Yu Photo 1

Senior Artificial Intelligence Engineer

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Location:
Katy, TX
Industry:
Oil & Energy
Work:
Ihs Aug 2011 - Aug 2016
Principal Research Scientist
Schlumberger Aug 2011 - Aug 2016
Senior Artificial Intelligence Engineer
University of Phoenix Dec 2008 - Sep 2012
Faculty
Seismic Micro-Technology (Smt) Aug 2006 - Aug 2011
Software Developer
Texas A&M University Aug 2001 - Aug 2006
Research Assistant
Education:
Texas A&M University 2001 - 2006
Doctorates, Doctor of Philosophy, Computer Science Beihang University 1993 - 1997
Bachelors, Bachelor of Science, Computer Science
Skills:
Algorithms
Pattern Recognition
C++
Signal Processing
Image Processing
Computer Science
Matlab
Software Development
Machine Learning
Artificial Intelligence
Programming
Python
Neural Networks
C
Geophysics
Wavelets
Linux
Smt Kingdom
Data Mining
Analysis
Visual Studio
Modeling
Software Design
Data Analysis
Oil/Gas
Cluster Analysis
Bayesian Methods
Computer Vision
Data Management
Object Oriented Design
Distributed Systems
Latex
Visual C++
Statistical Modeling
Oil and Gas
Seismic Interpretation
Seismology
Filters
Statistics
Knime
R
Oil
Languages:
English
Mandarin
Certifications:
Foundation and Focus
Seg Continue Education Program: Processing, Inversion and Reconstruction Seismic Data
Mit Continue Education: Tackling the Challenges of Big Data
Intro To Hadoop and Mapreduce
Seg Continue Education: Structual Geology In Seismic Interpretation
Self-Driving Car Engineer
Deep Reinforcement Learning Nanodegree
Yingwei Yu Photo 2

Yingwei Yu

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Yingwei Yu Photo 3

Yingwei Yu

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Yingwei Yu
TEXAS PARALLEL IMAGING LLC
5706 Indigo St, Houston, TX 77096
23518 Desert Gold Dr, Katy, TX 77494

Publications

Us Patents

Seismic Horizon Autopicking Using Orientation Vector Field

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US Patent:
8265876, Sep 11, 2012
Filed:
Aug 19, 2009
Appl. No.:
12/543915
Inventors:
Yingwei Yu - Katy TX, US
Clifford Lee Kelley - Sugar Land TX, US
Irina M. Mardanova - Houston TX, US
Assignee:
IHS Global Inc. - Englewood CO
International Classification:
G01V 1/28
US Classification:
702 16
Abstract:
A method is disclosed for automatically extending interpreter horizon picks over a wider area of traces in such manner that the automatically generated picks are very similar to picks that an interpreter would pick manually. The method applies optical filters to seismic sections to determine the intrinsic orientation of seismic events. Seismic orientation is captured in the Orientation Vector Field, which is then used to guide the picking process.

Method For Estimating Missing Well Log Data

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US Patent:
20100094557, Apr 15, 2010
Filed:
Oct 14, 2008
Appl. No.:
12/250983
Inventors:
Yingwei Yu - Katy TX, US
Douglas J. Seyler - Richmond TX, US
Michael D. McCormack - Sequim WA, US
International Classification:
G01V 1/40
US Classification:
702 6
Abstract:
The invention relates generally to the field of oil and gas exploration and specifically to the use of well logs for exploration. This invention is directed to a method for estimating data that would have been collected in a region of a well log where there is a gap. This method uses identified elements in one data set to identify elements in another data set with data values indicative of the same geological characteristic as those in the first data set.

Identifying Operation Anomalies Of Subterranean Drilling Equipment

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US Patent:
20220195861, Jun 23, 2022
Filed:
Oct 22, 2021
Appl. No.:
17/451945
Inventors:
- Sugar Land TX, US
Darine Mansour - Katy TX, US
Sai Venkatakrishnan Sankaranarayanan - Cambridge, GB
Yingwei Yu - Katy TX, US
International Classification:
E21B 44/00
E21B 43/25
G06K 9/62
Abstract:
The present disclosure relates to systems, methods, and non-transitory computer-readable media for dynamically utilizing, in potentially real time, anomaly pattern detection to optimize operational processes relating to well construction or subterranean drilling. For example, the disclosed systems use time-series data combined with rig states to automatically detect and split similar operations. Subsequently, the disclosed systems identify operation anomalies from a field-data collection utilizing an automated anomaly detection workflow. The automated anomaly detection workflow can identify operation anomalies at a more granular level by determining which process behavior contributes to the operation anomaly (e.g., according to corresponding process probabilities for a given operation). In addition, the disclosed systems can present graphical representations of operation anomalies, process behaviors (procedural curves), and/or corresponding process probabilities in an intuitive, user-friendly manner.

Hybrid Neural Network For Drilling Anomaly Detection

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US Patent:
20230082520, Mar 16, 2023
Filed:
Sep 2, 2022
Appl. No.:
17/929412
Inventors:
- Sugar Land TX, US
Fatma Mahfoudh - Cambridge, GB
Gordana Draskovic - Clamart, FR
Yingwei Yu - Katy TX, US
International Classification:
E21B 44/00
E21B 47/095
E21B 47/10
Abstract:
The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting a washout or other anomaly event in a wellbore. In particular, in one or more embodiments, the disclosed systems receive a plurality of measurements including a measured flow rate into the wellbore, a measured weight on a drill bit in the wellbore, a measured depth of the drill bit in the wellbore, and a measured pressure at a standpipe of the wellbore. In one or more embodiments, the disclosed systems estimate one or more parameters of a physical model for determining a theoretical estimate of the standpipe pressure. In one or more embodiments, the disclosed systems determine a probability that the washout or other anomaly event is occurring in the wellbore based at least partially upon the measurements and the theoretical estimate of the standpipe pressure.

Well Construction Equipment Framework

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US Patent:
20230017966, Jan 19, 2023
Filed:
Jul 12, 2022
Appl. No.:
17/811931
Inventors:
- Sugar Land TX, US
Crispin Chatar - Menlo Park CA, US
Velizar Vesselinov - Sugar Land TX, US
Yingwei Yu - Katy TX, US
Georgia Kouyialis - New York NY, US
Fatma Mahfoudh - Cambridge, GB
International Classification:
E21B 44/00
E21B 7/04
Abstract:
A method can include receiving input for a drilling operation that utilizes a bottom hole assembly and drilling fluid; generating a set of offset drilling operations using historical feature data, where the historical feature data are processed by computing feature distances; performing an assessment of the offset drilling operations as characterized by at least feature distance-based similarity between the drilling operation and the offset drilling operations; and outputting at least one recommendation for selection of one or more of a component of the bottom hole assembly and the drilling fluid based on the assessment.

Real-Time Well Construction Process Inference Through Probabilistic Data Fusion

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US Patent:
20210285316, Sep 16, 2021
Filed:
Jun 27, 2018
Appl. No.:
16/605799
Inventors:
- Sugar Land TX, US
Sylvain Chambon - Katy TX, US
James P. Belaskie - Missouri City TX, US
Yingwei Yu - Katy TX, US
Mohammad Khairi Hamzah - Katy TX, US
International Classification:
E21B 44/10
E21B 47/12
G06N 7/00
Abstract:
A method includes acquiring data during rig operations where the rig operations include operations that utilize a bit to drill rock and where the data include different types of data; analyzing the data utilizing a probabilistic mixture model for modes, a detection engine for trends and a network model for an inference based at least in part on at least one of a mode and a trend; and outputting information as to the inference where the inference characterizes a relationship between the bit and the rock

Automatic Interpretation Of Drilling Dynamics Data

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US Patent:
20210164334, Jun 3, 2021
Filed:
May 14, 2019
Appl. No.:
17/044750
Inventors:
- Sugar Land TX, US
Yingwei YU - Katy TX, US
Yuelin SHEN - Spring TX, US
Zhengxin ZHANG - Spring TX, US
Velizar VESSELINOV - Katy TX, US
Assignee:
Schlumberger Technology Corporation - Sugar Land TX
International Classification:
E21B 44/00
E21B 49/00
Abstract:
Methods, computing systems, and computer-readable media for interpreting drilling dynamics data are described herein. The method can include receiving drilling dynamics data simulated by a processor or collected by a sensor positioned in a drilling tool. The method can further include extracting a feature map from the drilling dynamics data, and determining that a feature zone from the feature map corresponds to a predetermined dynamic state. The feature zone can be determined using a neural network trained to associate feature zones with dynamic states. Additionally, the method can include selecting a drilling parameter for a drill string based on the feature zone.

Dynamic Field Operations System

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US Patent:
20200347700, Nov 5, 2020
Filed:
Jun 15, 2018
Appl. No.:
16/604567
Inventors:
- Sugar Land TX, US
Yingwei Yu - Katy TX, US
International Classification:
E21B 41/00
E21B 47/00
E21B 49/00
E21B 47/18
Abstract:
A method includes acquiring data associated with a field operation of equipment in a geologic environment; filtering the data using a filter where the filter includes, along a dimension, a single maximum positive value that decreases to a single minimum negative value that increases to approximately zero; and, based on the filtering, issuing a control signal to the equipment in the geologic environment.
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Yingwei W Yu from Katy, TX, age ~49 Get Report