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Robert Keys Phones & Addresses

  • 3534 Brentwood Pl, Panama City, FL 32404
  • Humble, TX
  • Houston, TX
  • Katy, TX
  • Canyon Lake, TX
  • Missouri City, TX
  • New Orleans, LA
  • Omen, TX
  • 19235 Canaras Ct, Katy, TX 77449

Work

Company: Cubesmart, llc Nov 2007 Position: Field training specialist/ general manager

Education

School / High School: Medtech Institute- Atlanta, GA Oct 2011 Specialities: Certificate in Medical

Business Records

Name / Title
Company / Classification
Phones & Addresses
Robert Keys
President
Det Norske Veritas Holding (USA), Inc
Engineering Services Business Services Ret Computers/Software Management Services · Engineering Services · Health and Allied Services Nec
1400 Ravello Rd, Katy, TX 77449
(281) 396-1000
Robert Keys
Owner
Keys Pest Control & Fumigation
Disinfecting/Pest Services
9030 N Fwy, Houston, TX 77037
Robert Keys
Partner
All Star Auction Co
Business Services
4010 Spg Stuebner Rd, Spring, TX 77389
Robert Keys
KEYS TO CONSULTING LLC
Robert L Keys
Director
CONVERSATIONAL COMPUTING CORPORATION
Robert L Keys
President, Director
PCG LIFE ADVISORS INSURANCE AGENCY OF TEXAS, INC
Life Insurance Carrier
16055 SPACE CENTER BLVD STE 235, Houston, TX 77062
4650 SW Macadam Ave STE 100, Portland, OR 97239
Robert G. Keys
CEO, Director
AFFORDABLE BUILDING COMPONENTS INC
PO Box 6377, Katy, TX 77491

Publications

Isbn (Books And Publications)

Homepelessness

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Author

Robert Keys

ISBN #

0595012140

Rare-Earth-Doped Materials and Devices VI

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Author

Robert W. Keys

ISBN #

0819443840

Us Patents

Integrated Anisotropic Rock Physics Model

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US Patent:
7676349, Mar 9, 2010
Filed:
Oct 27, 2005
Appl. No.:
11/666374
Inventors:
Shiyu Xu - Kingwood TX, US
Rebecca L. Saltzer - Houston TX, US
Robert G. Keys - Houston TX, US
Assignee:
ExxonMobil Upstream Research Co. - Houston TX
International Classification:
G06F 7/60
G06F 17/10
US Classification:
703 2, 703 10
Abstract:
Method for constructing an integrated rock physics model that simulates both shale anisotropy and stress-induced anisotropy of clastic rocks. In the model, the total pore volume is divided into three parts according to the estimated shale volume and effective stress: (1) clay-related pores, (2) sand-related pores, and (3) microcracks (mainly in the sand component). The pore space is then partitioned into the clay-related and sand-related pores using a scheme first disclosed by Xu and White in 1995. The model simulates shale anisotropy via the preferred orientation of clay-related pores and stress-induced anisotropy via the preferred orientation of microcracks, which is controlled by the differential stresses. Laboratory measurements or well logs are needed to establish a relationship between crack density and the effective stress.

Method For Predicting The Best And Worst In A Set Of Non-Unique Solutions

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US Patent:
8126648, Feb 28, 2012
Filed:
Jun 26, 2006
Appl. No.:
11/922817
Inventors:
Rebecca L. Saltzer - Houston TX, US
Christopher J. Finn - Missouri City TX, US
Robert G. Keys - Houston TX, US
Assignee:
ExxonMobil Upstream Research Co. - Houston TX
International Classification:
G01V 9/00
US Classification:
702 11, 703 5
Abstract:
Method for determining best and worst cases for values of model parameters such as porosity and shale volume fraction generated by non-unique matrix inversion of physical data such as seismic reflection amplitudes. The matrix is diagonalized, and then orthonormal basis vectors associated with insignificant diagonal elements are used to generate upper and lower bounds on the solution. Best and worst case solutions are determined as linear combinations of the null basis vectors, where the expansion coefficients are determined by making a best fit to the upper and lower bounds.

Methods For Seismic Fracture Parameter Estimation And Gas Filled Fracture Identification From Vertical Well Log Data

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US Patent:
20120250459, Oct 4, 2012
Filed:
Mar 26, 2012
Appl. No.:
13/430190
Inventors:
Samik Sil - Houston TX, US
Robert G. Keys - Houston TX, US
Baishali Roy - Katy TX, US
Douglas J. Foster - Houston TX, US
Assignee:
CONOCOPHILLIPS COMPANY - Houston TX
International Classification:
G01V 1/40
US Classification:
367 35
Abstract:
Methods for fracture characterization of unconventional formations are provided. Synthetic seismic fracture responses can be generated based on the derived fracture parameters. The synthetic seismic fracture responses may then be used to derive optimum seismic data acquisition geometry for fracture characterization. These methods of determining the seismic data acquisition geometry are advantageous over conventional methods in that these methods are more reliable and cheaper than existing empirical methods, particularly as applied to fractured unconventional formations. Moreover, these methods allow fracture parameters to be derived from limited but common well log data. Certain embodiments additionally contemplate determining the presence of gas filled fractures. These characterizations and evaluations of unconventional formations are useful for, among other things, determining optimal producing intervals and optimal drilling locations. These methods can eliminate the use of costly image logs and core data. These methods ultimately translate to more efficient seismic imaging and more optimal hydrocarbon production.

Use Nuos Technology To Acquire Optimized 2D Data

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US Patent:
20210311219, Oct 7, 2021
Filed:
Jun 14, 2021
Appl. No.:
17/347114
Inventors:
- Houston TX, US
Charles C. MOSHER - Houston TX, US
Robert G. KEYS - Houston TX, US
Peter M. EICK - Houston TX, US
Sam T. KAPLAN - Houston TX, US
Joel D. BREWER - Sealy TX, US
International Classification:
G01V 1/38
G01V 1/137
G01V 1/28
G01V 1/36
Abstract:
A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.

Use Nuos Technology To Acquire Optimized 2D Data

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US Patent:
20200158902, May 21, 2020
Filed:
Nov 2, 2017
Appl. No.:
15/801793
Inventors:
- Houston TX, US
Charles C. MOSHER - Houston TX, US
Robert G. KEYS - Houston TX, US
Peter M. EICK - Houston TX, US
Sam T. KAPLAN - Houston TX, US
Joel D. BREWER - Sealy TX, US
International Classification:
G01V 1/38
G01V 1/137
G01V 1/36
G01V 1/28
Abstract:
A method for 2D seismic data acquisition includes determining source-point seismic survey positions for a combined deep profile seismic data acquisition with a shallow profile seismic data acquisition wherein the source-point positions are based on non-uniform optimal sampling. A seismic data set is acquired with a first set of air-guns optimized for a deep-data seismic profile and the data set is acquired with a second set of air-guns optimized for a shallow-data seismic profile. The data are de-blended to obtain a deep 2D seismic dataset and a shallow 2D seismic dataset.

4D Seismic As A Method For Characterizing Fracture Network And Fluid Distribution In Unconventional Reservoir

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US Patent:
20190243019, Aug 8, 2019
Filed:
Feb 6, 2019
Appl. No.:
16/268852
Inventors:
- Houston TX, US
Jane W. MUTORU - Houston TX, US
Robert G. KEYS - Houston TX, US
Dana M. JURICK - Houston TX, US
Mark J. FISSELL - Katy TX, US
International Classification:
G01V 1/30
G01V 1/34
Abstract:
A method of characterizing a subterranean formation using a plurality of seismic acquisitions includes obtaining a first seismic acquisition of the subterranean formation, wherein the first seismic acquisition is a baseline survey. Injecting a gas fluid into the subterranean formation, wherein the gas fluid at least partially fills a portion of a fracture network of the subterranean formation. Obtaining a second seismic acquisition of the subterranean formation. Calculating a time-lapse difference in the plurality of seismic acquisitions.

Compressive Sensing

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US Patent:
20150124560, May 7, 2015
Filed:
Oct 31, 2014
Appl. No.:
14/529690
Inventors:
- Houston TX, US
Sam T. KAPLAN - Oakland CA, US
Charles C. MOSHER - Houston TX, US
Joel D. BREWER - Houston TX, US
Robert G. KEYS - Houston TX, US
International Classification:
G01V 1/30
US Classification:
367 14
Abstract:
Computer-implemented method for determining optimal sampling grid during seismic data reconstruction includes: a) constructing an optimization model, via a computing processor, given by min∥Su∥s.t. ∥Ru−b∥≦σ wherein S is a discrete transform matrix, b is seismic data on an observed grid, u is seismic data on a reconstruction grid, and matrix R is a sampling operator; b) defining mutual coherence aswherein C is a constant, S is a cardinality of Su, m is proportional to number of seismic traces on the observed grid, and n is proportional to number of seismic traces on the reconstruction grid; c) deriving a mutual coherence proxy, wherein the mutual coherence proxy is a proxy for mutual coherence when S is over-complete and wherein the mutual coherence proxy is exactly the mutual coherence when S is a Fourier transform; and d) determining a sample grid r=arg minμ(r).
Robert Terrence Keys from Panama City, FL, age ~46 Get Report