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Sebastien B Strebelle

from Oakland, CA
Age ~54
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Also known as:
Sebastien Bruno Strebelle, Sebastian B Strebelle, Sebastian Calefasstrebelle
Related to:
Audrey Calefas, 32Aline CalefasEdouard CalefasAlain Calefas, 66Edouard Calefas
Connected to:
Amanda E Strebel, 37Jaclynn F Strebel, 44Kristine M Strebel, 38Melanie T Strebel, 75Ralph F Strebel, 101Robert H Strebelow, 91Jason M Streber, 52Stanley N Streber, 68Vickie R Streber, 66Mykael Z Strebig, 34

Sebastien Strebelle Phones & Addresses

  • Oakland, CA
  • 3670 17Th St, San Francisco, CA 94114 (415) 503-1546
  • San Ramon, CA
  • 2091 Hanover St, Palo Alto, CA 94306 (650) 843-1892
  • 3670 17Th St APT 3674, San Francisco, CA 94114 (415) 503-1546

Education

Degree: Graduate or professional degree

Resumes

Resumes

Sebastien Strebelle Photo 1

Sebastien Strebelle

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Location:
San Francisco Bay Area
Industry:
Oil & Energy
Sebastien Strebelle Photo 2

Sebastien Strebelle

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Publications

Us Patents

Method And System For Using Multiple-Point Statistics Simulation To Model Reservoir Property Trends

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US Patent:
8452580, May 28, 2013
Filed:
Feb 26, 2010
Appl. No.:
12/713871
Inventors:
Sebastien Strebelle - San Francisco CA, US
Assignee:
Chevron U.S.A. Inc. - San Ramon CA
International Classification:
G06G 7/48
US Classification:
703 10
Abstract:
A computer-implemented method and system for simulating reservoir property trends, including petrophysical trends within facies geobodies, is provided. One embodiment includes discretizing a range of values of the reservoir property to be modeled into at least two categories and utilizing the categories to discretize the associated well data and training image into categorical well data and a categorical training image. An embodiment includes applying MPS simulation using the categorical training image on a stratigraphic grid of nodes discretizing the reservoir volume to create a categorical property model. The embodiment additionally includes applying variogram-based simulation in each sub-region of the categorical property model to create a reservoir property model that reproduces the category histogram of each associated sub-region and models the reservoir property trends.

Method For Making A Reservoir Facies Model Utilizing A Training Image And A Geologically Interpreted Facies Probability Cube

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US Patent:
20060041409, Feb 23, 2006
Filed:
Aug 20, 2004
Appl. No.:
10/923316
Inventors:
Sebastien Strebelle - Palo Alto CA, US
Julian Thorne - Benicia CA, US
Andrew Harding - Danville CA, US
Marjorie Levy - Danville CA, US
Deyi Xie - San Ramon CA, US
International Classification:
G06G 7/48
US Classification:
703010000
Abstract:
A method for creating a reservoir facies model is disclosed. A S-grid is created which is representative of a subterranean region to be modeled. A training image is constructed which includes a number of facies. The training image captures facies geometry, associations and heterogeneity among the facies. A facies probability cube corresponding to the S-grid is derived from a geological interpretation of the facies distribution within the subterranean region. Finally, a geostatistical simulation, preferably a multiple-point simulation, is performed to create a reservoir facies model which utilizes the training image and facies probability cube and is conditioned to subsurface data and information. Ideally, the facies probability cube is created using an areal depocenter map of the facies which identifies probable locations of facies within the S-grid.

Multiple-Point Statistics (Mps) Simulation With Enhanced Computational Efficiency

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US Patent:
20060041410, Feb 23, 2006
Filed:
Aug 20, 2004
Appl. No.:
10/923336
Inventors:
Sebastien Strebelle - Palo Alto CA, US
International Classification:
G06G 7/48
US Classification:
703010000
Abstract:
An enhanced multi-point statistical (MPS) simulation is disclosed. A multiple-grid simulation approach is used which has been modified from a conventional MPS approach to decrease the size of a data search template, saving a significant amount of memory and cpu-time during the simulation. Features used to decrease the size of the data search template include: (1) using intermediary sub-grids in the multiple-grid simulation approach, and (2) selecting a data template that is preferentially constituted by previously simulated nodes. The combination of these features allows saving a significant amount of memory and cpu-time over previous MPS algorithms, yet ensures that large-scale training structures are captured and exported to the simulation exercise.

System And Method For Optimizing The Number Of Conditioning Data In Multiple Point Statistics Simulation

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US Patent:
20130329986, Dec 12, 2013
Filed:
Jun 11, 2012
Appl. No.:
13/493062
Inventors:
Sebastien Bruno Strebelle - San Francisco CA, US
Claude Edward Cavelius - San Francisco CA, US
Assignee:
Chevron U.S.A. Inc. - San Ramon CA
International Classification:
G06K 9/62
US Classification:
382159
Abstract:
A computer system and a computer-implemented method for optimizing the number of conditioning data used in multiple point statistics simulation. The method includes inputting a training image representative of subsurface geological heterogeneity; and inputting an initial conservative number of conditioning data. The method further includes selecting a geometry of a template wherein a size of the template is defined by the conservative number of conditioning data; building a search tree using the template by scanning the training image with the template and storing data patterns present in the training image in the search tree to obtain a plurality of patterns; and determining a threshold number of conditioning data smaller than the initial conservative number of conditioning data beyond which estimated facies probabilities are not significantly modified by additional number of conditioning data.
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Sebastien B Strebelle from Oakland, CA, age ~54 Get Report