IP Library Granted Patent US 10,184,906
Granted Patent B2
US 10,184,906 · App. 15/559,490 · Granted Jan 22, 2019

Identification, quantification and prediction of free silicon in geological formation and its contribution to rock properties

Inventors: Guy Oliver (Katy, TX); Graham Spence (Conwy, GB); Chi Vinh Ly (Katy, TX); Fabien Allo (Rio De Janeiro, BR)
Assignee: CGG SERVICES SAS
G01N23/225E21B41/0092E21B43/30E21B49/02G01N33/24G01V99/005E21B25/00
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Quick Facts
Patent No.
US 10,184,906
App. No.
15/559,490
Granted
Jan 22, 2019
Kind
B2
Abstract

Predicting and quantifying free silicon in a geological formation generates free silicon data for a physical sample obtained from within the geological formation. The free silicon data include identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon. A modified petro-elastic model for the geological formation comprising rock constituents is generated that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation. A three-dimensional model of the geological formation is created that indicates volumes of free silicon throughout the geological formation. The three-dimensional model is created using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model.

Claims (35)

1. A method for predicting and quantifying free silicon in a geological formation, the method comprising:

generating free silicon data for a physical sample obtained from within the geological formation, the free silicon data comprising an identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon;

generating a modified petro-elastic model for the geological formation comprising rock constituents that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation; and

using the modified petro-elastic model to determine locations for wells in the geological formation.

2. The method of claim 1 , wherein generating the free silicon data further comprises using scanning electron microscope-energy dispersive spectrometry on portions of the physical sample to generate the identification of portions of the physical sample containing free silicon.

3. The method of claim 2 , wherein using scanning electron microscope-energy dispersive spectrometry comprises using at least one of leptonic beam scanning and baryonic beam scanning.

4. The method of claim 2 , wherein using scanning electron microscope-energy dispersive spectrometry further comprises quantifying at least one of a ratio of silicon to aluminum, a ratio of zirconium to aluminum and an amount of molybdenum in each one of the portions of the physical sample.

5. The method of claim 2 , wherein using scanning electron microscope-energy dispersive spectrometry further comprises identifying portions of the physical sample having an increase in a ratio of silicon to aluminum.

6. The method of claim 2 , wherein generating the free silicon data further comprises using high magnification scanning electron microscopy on the portions of the physical sample containing free silicon to generate the quantification of the free silicon contained in the portions of the physical sample containing free silicon.

7. The method of claim 1 , wherein the physical sample obtained from within the geological formation comprises at least one of a vertical borehole core and a horizontal borehole core.

8. The method of claim 7 , wherein the portions of the physical sample comprise intervals along the vertical borehole core or horizontal borehole core corresponding to horizontal zones or vertical zones within the geological formation.

9. The method of claim 1 , wherein generating a modified petro-elastic model comprises generating at least one of a modified mineral elastic properties model and a modified dry rock elastic properties model.

10. The method of claim 1 , further comprising creating a three-dimensional model of the geological formation indicating volumes of free silicon throughout the geological formation using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model.

11. The method of claim 10 , wherein creating the three-dimensional model of the geological formation further comprises performing a petrophysical inversion using the modified petro-elastic model to create the three-dimensional model of the geological formation comprising an estimation of volumes of free silicon within the geological formation.

12. The method of claim 10 , wherein creating the three-dimensional model of the geological formation further comprises at least one of performing an elastic stochastic inversion to generate a plurality of elastic models and performing a petrophysical stochastic inversion to generate a plurality of petrophysical models to determine an uncertainty in the volumes of free silicon in the three-dimensional model of the geological formation.

13. A computer-readable medium containing computer-executable code that when read by a computer causes the computer to perform a method for predicting and quantifying free silicon in a geological formation, the method comprising:

generating free silicon data for a physical sample obtained from within the geological formation, the free silicon data comprising an identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon;

generating a modified petro-elastic model for the geological formation comprising rock constituents that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation; and

using the modified petro-elastic model to determine locations for wells in the geological formation.

14. The computer-readable medium of claim 13 , wherein generating the free silicon data further comprises using scanning electron microscope-energy dispersive spectrometry of the portions of the physical sample to generate the identification of portions of the physical sample containing free silicon.

15. The computer-readable medium of claim 14 , wherein using scanning electron microscope-energy dispersive spectrometry further comprises identifying portions of the physical sample having an increase in a ratio of silicon to aluminum.

16. The computer-readable medium of claim 14 , wherein generating the free silicon data further comprises using high magnification scanning electron microscopy on the portions of the physical sample containing free silicon to generate the quantification of the free silicon contained in the portions of the physical sample containing free silicon.

17. The computer-readable medium of claim 13 , wherein generating a modified petro-elastic model comprises generating at least one of a modified mineral elastic properties model and a modified dry rock elastic properties model.

18. The computer-readable medium of claim 13 , wherein:

the method further comprises creating a three-dimensional model of the geological formation indicating volumes of free silicon throughout the geological formation using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model; and

creating the three-dimensional model of the geological formation further comprises performing a petrophysical inversion using the modified petro-elastic model to create the three-dimensional model of the geological formation comprising an estimation of volumes of free silicon within the geological formation.

19. The computer-readable medium of claim 13 , wherein:

the method further comprises creating a three-dimensional model of the geological formation indicating volumes of free silicon throughout the geological formation using geophysical data obtained from the physical sample, seismic data covering the geological formation and the modified petro-elastic model; and

creating the three-dimensional model of the geological formation further comprises at least one of performing an elastic stochastic inversion to generate a plurality of elastic models and performing a petrophysical stochastic inversion to generate a plurality of petrophysical models to determine an uncertainty in the volumes of free silicon in the three-dimensional model of the geological formation.

20. A computing system for predicting and quantifying free silicon in a geological formation, the computing system comprising:

a storage device comprising geophysical data obtained from a physical sample obtained from within the geological formation and seismic data covering the geological formation; and

a processer in communication with the storage device and configured to:

generate free silicon data for the physical sample, the free silicon data comprising an identification of portions of the physical sample containing free silicon and a quantification of the free silicon contained in the portions of the physical sample containing free silicon;

generate a modified petro-elastic model for the geological formation comprising rock constituents that incorporates free silicon as one of the rock constituents and that quantitatively models how free silicon changes elastic properties within the geological formation; and

use the modified petro-elastic model to determine locations for wells in the geological formation.

Assignments (2)
CHANGE OF NAME Recorded Sep 20, 2017
From: CGG SERVICES SA
To: CGG SERVICES SAS
Reel/Frame 043637/0481 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 19, 2017
From: OLIVER, GUY; SPENCE, GRAHAM; LY, CHI VINH; ALLO, FABIEN
To: CGG SERVICES SA
Reel/Frame 043622/0718 →
Continuity (3)
Provisional Application 62208844 · Aug 24, 2015
Provisional Application 62157543 · May 6, 2015
Related Publication 20180113086A1 · Apr 26, 2018