Dr. May graduated from the University of South Florida College of Medicine at Tampa in 1977. He works in Hixson, TN and specializes in Pediatrics. Dr. May is affiliated with Childrens Hospital At Erlanger and Parkridge East Hospital.
Preferred Technologies, Inc. Jan 2017 - May 2019
Project Manager
Ameritech Millworks Lp Jan 2017 - May 2019
Usmc - Field Superintendent
Lincoln Lumber Companies Feb 2016 - Dec 2016
Project Manager
United States Marine Corps Sep 2005 - Jul 2008
Rifleman
Education:
Sam Houston State University 2013 - 2015
Bachelors, Bachelor of Science, Engineering
Skills:
Microsoft Office Customer Service Management Leadership Microsoft Powerpoint Research Public Speaking Project Management Microsoft Excel Microsoft Word
Brian P. West - Houston TX Steven R. May - Missouri City TX
Assignee:
ExxonMobil Upstream Research Co. - Houston TX
International Classification:
G06F 1900
US Classification:
702 2, 703 5
Abstract:
Seismic facies are identified in a volume of seismic data, wherein, first, a plurality of initial textural attributes representative of the volume of seismic data are calculated. Next, a probabilistic neural network is constructed from the calculated initial textural attributes. Then, final textural attributes are calculated throughout the volume of seismic data. Finally, the calculated final textural attributes are classified using the constructed probabilistic neural network.
Method For Mapping Seismic Attributes Using Neural Networks
Brian P. West - Houston TX Steven R. May - Missouri City TX Dominique Gillard - Houston TX John E. Eastwood - Bellaire TX Michael D. Gross - The Woodlands TX Thomas J. Frantes - The Woodlands TX
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G01V 128
US Classification:
702 14, 702 16
Abstract:
A method of calculating reflection curvature in a seismic data volume wherein an apparent dip value is calculated in a first direction to generate a first apparent dip volume. A horizontal gradient is calculated in the first direction in the first apparent dip volume using a specified length scale to generate a first curvature volume. The process may be repeated one or more times, and the individual curvature volumes combined to generate a combined curvature volume for the seismic data volume.
Method For Performing Object-Based Connectivity Analysis In 3-D Seismic Data Volumes
Dominique Gillard - Houston TX, US Brian P. West - Houston TX, US Steven R. May - Missouri City TX, US John E. Eastwood - Bellaire TX, US Michael D. Gross - The Woodlands TX, US
Assignee:
ExxonMobil Upstream Research Company - Houston TX
International Classification:
G06F 1500
US Classification:
702156
Abstract:
A method of analyzing dip in a seismic data volume in which a horizontal gradient is calculated in a first direction in the seismic data volume. A vertical gradient is calculated at data locations in the seismic data volume corresponding to the locations at which the horizontal gradient was calculated. Dip is calculated in the first direction from the horizontal gradient in the first direction and the vertical gradient. Repetition of the process for the entire seismic data volume results in a dip volume.
Exploration Method And System For Detection Of Hydrocarbons With An Underwater Vehicle
- Houston TX, US Leonard J. Srnka - Bellaire TX, US William Bond - Sugar Land TX, US Sebastien L. Dreyfus - Houston TX, US Michael Lawson - Houston TX, US William P. Meurer - Pearland TX, US Daniel P. Cherney - Hampton NJ, US Steven R. May - Missouri City TX, US William G. Powell - Houston TX, US Christopher J. Vandewater - Houston TX, US Mehmet D. Ertas - Bethlehem TX, US Kurt W. Rudolph - Houston TX, US Sumathy Raman - Annandale NJ, US Aaron B. Regberg - Houston TX, US A. Lucie N'Guessan - Houston TX, US Amelia C. Robinson - Houston TX, US
International Classification:
G01V 8/02 G01V 5/00
US Classification:
250253
Abstract:
A method for detecting hydrocarbons with an underwater vehicle equipped with one or more measurement components is described. The method includes navigating the UV within the body of water; monitoring the body of water with measurement components associated with the UV to collect measurement data. The collected data from the UV is used to determine whether hydrocarbons are present and at the location.
Method For Determining The Location, Size, And Fluid Composition Of A Subsurface Hydrocarbon Accumulation
Robert j. POTTORF - Houston TX, US Michael LAWSON - Houston TX, US Steven R. MAY - Bellaire TX, US Sebastien L. DREYFUS - Houston TX, US Sumathy RAMAN - Annandale NJ, US William G. POWELL - Houston TX, US Lucie A. N'GUESSAN - Houston TX, US Amelia G. ROBINSON - Houston TX, US Aaron B. REGBERG - Houston TX, US - Houston TX, US
International Classification:
G01N 33/24
US Classification:
702 27
Abstract:
A method is disclosed for determining a presence, type, quality and/or volume of a subsurface hydrocarbon accumulation from a sample related thereto. The method may include obtaining sample data associated with a subsurface hydrocarbon accumulation, wherein the sample data includes a noble gas signature, a clumped isotope signature and/or a ecology signature. From the signatures, relationships between the noble gas signature; the clumped isotope signature and the ecology signature are identified and stored in memory.
Method And System For Reservoir Surveillance Utilizing A Clumped Isotope And/Or Noble Gas Data
- Houston TX, US Robert J. Pottorf - Houston TX, US Steven R. May - Missouri City TX, US Amelia C. Robinson - Houston TX, US Sumathy Raman - Annandale NJ, US Sebastien L. Dreyfus - Houston TX, US Cara L. Davis - Houston TX, US
International Classification:
E21B 49/02 E21B 41/00
US Classification:
7315223
Abstract:
A method is disclosed for producing hydrocarbons with the use of reservoir surveillance. The method includes interpreting a sample to determine noble gas signatures and clumped isotope signatures for the region of interest. Then, using the region of interest fingerprint to perform reservoir surveillance on produced fluids from the subsurface regions.
Ih-35I grew up as an Air Force brat so I never really had a hometown per se. I always called San Antonio home because that was were my parents met and their parents... I grew up as an Air Force brat so I never really had a hometown per se. I always called San Antonio home because that was were my parents met and their parents lived. After graduating from High School I joined the USAF for four years before going to school.
Las Vegas, NV Reno, NV Fullerton, CA San Diego, CA Hillsboro, OR Philadelphia, PA Whittier, CA Placentia, CA Green Valley, CA Lake Tahoe, CA Yorba Linda, CA El Cajon, CA La Jolla, CA Santee, CA Alpine, CA Spring Valley, CA Point Loma, CA Norwalk, CA
Work:
Lockheed Martin - Sr. Network Engineer Nevada Army National Guard - SFC 19D
Tagline:
I would rather be judged by 12 than carried by 6.
Bragging Rights:
I have an incredible family.
Steven May
Lived:
Brooklyn, NY Berkeley, CA Louisville, KY
Work:
Self-Employed - Musician
Education:
Principla College
Steven May
Education:
Daniel Boone Junior Senior High School, Cabrini College