IP Library Granted Patent US 6,928,367
Granted Patent B2
US 6,928,367 · App. 10/672,045 · Granted Aug 9, 2005

Reservoir fracture characterization

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Quick Facts
Patent No.
US 6,928,367
App. No.
10/672,045
Granted
Aug 9, 2005
Kind
B2
Abstract

Systems and methods of reservoir fracture characterization are disclosed. In one embodiment, the method includes: 1) obtaining seismic traces; 2) combining seismic traces into gathers that reveal acoustic reflectivity as a function of offset, azimuth, and position; 3) measuring reflection anisotropy as a function of position; 4) determining a relationship between reflection anisotropy and fracture intensity measurements at specific positions; and 5) applying the relationship to reflection anisotropy measurements to create a set of fracture intensity measurements at regularly-spaced positions.

Claims (36)

1. A method of reservoir fracture characterization, the method comprising:

obtaining seismic traces;

combining seismic traces into gathers that reveal acoustic reflectivity as a function of offset, azimuth, and position;

measuring reflection anisotropy as a function of position;

determining a relationship between reflection anisotropy and fracture intensity measurements at specific positions; and

applying the relationship to reflection anisotropy measurements to create a set of fracture intensity measurements at regularly-spaced positions.

2. The method of claim 1 , wherein the specific positions are locations of preexisting wells.

3. The method of claim 2 , wherein the fracture intensity measurements take form as a production measure.

4. The method of claim 3 , wherein the production measure is a four month cumulative fluid production.

5. The method of claim 1 , wherein said determining a relationship includes using multiple regression to identify a statistical dependence of the fracture intensity measurement on reflection anisotropy.

6. The method of claim 1 , wherein said determining a relationship includes training a neural network to predict a fracture intensity measurement in response to a set of input values, the set including reflection anisotropy.

7. The method of claim 1 , further comprising:

displaying the set of fracture intensity measurements as function of two spatial dimensions.

8. The method of claim 7 , wherein the set of fracture intensity measurements is displayed as a map.

9. The method of claim 1 , further comprising:

displaying the set of fracture intensity measurements as a function of three spatial dimensions.

10. The method of claim 1 , further comprising:

correlating a set of seismic attributes with the fracture intensity measurements at specific positions, wherein the set of seismic attributes includes reflection anisotropy,

wherein said determining a relationship between reflection anisotropy and fracture intensity measurements further includes determining a relationship between fracture intensity and those seismic attributes are well-correlated with the fracture intensity measurements.

11. The method of claim 10 , wherein said correlating is performed using a rank-correlation technique.

12. A system for reservoir fracture characterization, the system comprising:

an information storage device having seismic traces; and

a processor configured to retrieve and process the seismic traces to determine an array of reflection anisotropy values,

wherein the processor is further configured to determine a relationship between reflection anisotropy and measure of fracture intensity at one or more well positions,

wherein the processor is configured to determine said relationship using multiple regression.

13. The system of claim 12 , wherein the measure of fracture intensity relates to fluid production from wells at the one or more well positions.

14. The system of claim 12 , further comprising:

a graphical display coupled to the processor and configured to present a view of fracture intensity measurements as a function of position, wherein the processor is configured to generate said view by applying said relationship to an array of reflection anisotropy values.

15. The system of claim 14 , wherein the display presents fracture intensity measurements as a function of two spatial dimensions.

16. The system of claim 14 , wherein the display presents fracture intensity measurements as a function of three spatial dimensions.

17. A system for reservoir fracture characterization, the system comprising:

an information storage device having seismic traces; and

a processor configured to retrieve and process the seismic traces to determine an array of reflection anisotropy values,

wherein the processor is further configured to determine a relationship between reflection anisotropy and a measure of fracture intensity at one or more well positions,

wherein the measure of fracture intensity is a four month cumulative fluid production.

18. The system of claim 17 , wherein the processor is configured to determine said relationship by training one or more neural networks.

Assignments (15)
RELEASE OF SECURITY INTEREST Recorded Mar 27, 2025
From: THE BANK OF NEW YORK MELLON, LONDON BRANCH, AS SECURITY AGENT
To: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
Reel/Frame 070652/0199 →
RELEASE OF SECURITY INTEREST Recorded Apr 7, 2021
From: THE BANK OF NEW YORK MELLON
To: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
Reel/Frame 055847/0819 →
RELEASE OF SECURITY INTEREST Recorded Apr 7, 2021
From: THE BANK OF NEW YORK MELLON
To: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
Reel/Frame 055847/0768 →
SECURITY INTEREST Recorded Apr 2, 2021
From: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
To: THE BANK OF NEW YORK MELLON, LONDON BRANCH, AS SECURITY AGENT
Reel/Frame 055810/0235 →
RELEASE OF SECURITY INTEREST Recorded Apr 24, 2018
From: THE BANK OF NEW YORK MELLON, AS U.S. COLLATERAL AGENT
To: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
Reel/Frame 045625/0753 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Apr 24, 2018
From: CGG HOLDING (U.S.) INC.; CGG SERVICES (U.S.) INC.
To: THE BANK OF NEW YORK MELLON, AS U.S. COLLATERAL AGENT
Reel/Frame 046030/0722 →
SECOND LIEN PATENT SECURITY AGREEMENT Recorded Feb 23, 2018
From: CGG HOLDING (U.S.) INC.
To: THE BANK OF NEW YORK MELLON
Reel/Frame 045422/0902 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Feb 21, 2018
From: CGG HOLDING (U.S.) INC.
To: THE BANK OF NEW YORK MELLON
Reel/Frame 045403/0045 →
CHANGE OF NAME Recorded Feb 7, 2018
From: CGGVERITAS SERVICES INC.
To: CGGVERITAS SERVICES HOLDING (U.S.) INC.
Reel/Frame 045269/0847 →
CHANGE OF NAME Recorded Feb 7, 2018
From: CGGVERITAS HOLDING (U.S.) INC.
To: CGG HOLDING (U.S.) INC.
Reel/Frame 045267/0409 →
CHANGE OF NAME Recorded Feb 7, 2018
From: CGGVERITAS SERVICES HOLDING (U.S.) INC.
To: CGGVERITAS HOLDING (U.S.) INC.
Reel/Frame 045268/0379 →
CHANGE OF NAME Recorded Feb 7, 2018
From: VOLNAY ACQUISITION CO. II
To: CGGVERITAS SERVICES INC.
Reel/Frame 045271/0886 →
MERGER Recorded Feb 6, 2018
From: VERITAS DGC INC.
To: VOLNAY ACQUISITION CO. II
Reel/Frame 044841/0171 →
RELEASE OF SECURITY AGREEMENT Recorded Aug 22, 2013
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
To: SERCEL, INC.; CGG HOLDING (U.S.) INC. (F/K/A CGG VERITAS SERVICES INC., VERITAS DGC INC., VOLNAY ACQUISITION CO. II, VOLNAY ACQUISITION CO. I)
Reel/Frame 031059/0186 →
RELEASE OF SECURITY AGREEMENT Recorded Aug 21, 2013
From: CREDIT SUISSE AG, LONDON BRANCH, AS COLLATERAL AGENT
To: SERCEL, INC.; CGG HOLDING (U.S.) INC. (F/K/A CGG VERITAS SERVICES INC., VERITAS DGC INC., VOLNAY ACQUISITION CO. II, VOLNAY ACQUISITION CO. I)
Reel/Frame 031051/0062 →