IP Library Granted Patent US 12,560,733
Granted Patent B2
US 12,560,733 · App. 18/119,581 · Granted Feb 24, 2026

Identifying geological structural style in seismic reflections

Inventor: Simon A. Stewart (Dhahran, SA)
Assignee: Saudi Arabian Oil Company
G01V1/301
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,560,733
App. No.
18/119,581
Granted
Feb 24, 2026
Kind
B2
Abstract

Methods and systems for determining a geological structural style of a subterranean formation include acquiring seismic reflection measurements of the subterranean formation; isolating one or more signals in the acquired measurements, the one or more signals having larger amplitudes relative to one or more other signals in the acquired measurements; obtaining a set of structural geology geometric primitives wherein each structural geology geometric primitive comprises geometric data representing a known structural geological style; identifying at least one best fit between a set of the one or more isolated signals and a structural geology geometric primitive from the set of structural geology geometric primitives; determining a degree of confidence for at least one best fit identified; and determining a geological structural style of the subterranean formation based on the identified at least one best fit and based on the determined degree of confidence for that best fit.

Claims (67)

1 . A method for determining a geological structural style of a subterranean formation, the method comprising:

acquiring seismic reflection measurements of the subterranean formation;

isolating one or more signals in the acquired measurements, the one or more signals having larger amplitudes relative to one or more other signals in the acquired measurements;

obtaining a set of structural geology geometric primitives wherein each structural geology geometric primitive comprises geometric data representing a known structural geological style;

identifying at least one best fit between a set of the one or more isolated signals and a structural geology geometric primitive from the set of structural geology geometric primitives;

determining a degree of confidence for at least one best fit identified; and

determining a geological structural style of the subterranean formation based on the identified at least one best fit and based on the determined degree of confidence for that best fit.

2 . The method of claim 1 , wherein isolating one or more signals comprises

using a user specified threshold to isolate signals having larger amplitudes relative to one or more other signals in the acquired measurements.

3 . The method of claim 1 , wherein isolating one or more signals comprises

isolating one or more signals based on a value of a seismic attribute comprising at least one of seismic reflector continuity and instantaneous phase.

4 . The method of claim 1 , wherein identifying at least one best fit comprises

identifying key points in at least one isolated signal using a scale invariant feature transform (SIFT);

determining a probability of match based on a Euclidean distance between key points in the at least one isolated signal and key points in the set of structural geology geometric primitives; and

selecting a structural geology geometric primitive from the set of structural geology geometric primitives with a highest probability of match with the at least one isolated signal.

5 . The method of claim 4 , wherein determining a degree of confidence for each fit is based on the probability of match for each best fit identified.

6 . The method of claim 1 , further comprising:

generating a geological structural map of the subterranean formation based on the acquired seismic measurements and the determined geological structural style.

7 . The method of claim 6 , further comprising:

determining one or more locations to drill wells in the subterranean formation based on the geological structural map of the subterranean formation.

8 . The method of claim 7 , further comprising:

controlling a drilling mechanism based on the determined geological structural style and the determined one or more locations in the subterranean formation.

9 . The method of claim 1 , further comprising:

identifying portions of the subterranean formation to acquire 3D reflection seismic measurements based on the determined geological structural style.

10 . The method of claim 1 , wherein identifying a best fit comprises:

determining a length scale for the set of structural geology geometric primitives based on a length scale of the acquired seismic measurements;

scaling the set of structural geology geometric primitives based on the determined length scale;

calculating correlation factors based on cross-correlations between the isolated signals and the scaled set of structural geology geometric primitives; and

selecting the structural geology geometric primitive with a highest correlation factor as the best fit with the isolated signals.

11 . The method of claim 10 , wherein determining a degree of confidence for each best fit is based on the correlation factors.

12 . The method of claim 1 , further comprising:

obtaining a set of sedimentary geology geometric primitives wherein each sedimentary geology geometric primitive comprises geometric data representing a known sedimentary geological style;

identifying at least one best fit between a set of the one or more isolated signals and a sedimentary geology geometric primitive from the set of sedimentary geology geometric primitives;

determining a degree of confidence for at least one best fit identified; and

determining a geological sedimentary style of the subterranean formation based on the identified at least one best fit and based on the determined degree of confidence for that best fit.

13 . A system for identifying a geological structural style of a subterranean formation, the system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:

accessing, from a data store, seismic reflection measurements of the subterranean formation;

isolating one or more signals in the accessed measurements, the one or more signals having larger amplitudes relative to one or more other signals in the accessed measurements;

obtaining a set of structural geology geometric primitives wherein each structural geology geometric primitive comprises geometric data representing a known structural geological style;

identifying at least one best fit between a set of the one or more isolated signals and a structural geology geometric primitive from the set of structural geology geometric primitives;

determining a degree of confidence for at least one best fit identified; and

determining a geological structural style of the subterranean formation based on the identified at least one best fit and based on the determined degree of confidence for that best fit.

14 . The system of claim 13 , wherein identifying at least one best fit comprises:

identifying key points in at least one isolated signal using a scale invariant feature transform (SIFT);

determining a probability of match based on a Euclidean distance between key points in the at least one isolated signal and key points in the set of structural geology geometric primitives; and

selecting a structural geology geometric primitive from the set of structural geology geometric primitives with a highest probability of match with the at least one isolated signal.

15 . The system of claim 14 , wherein determining a degree of confidence for each fit is based on the probability of match for each best fit identified.

16 . The system of claim 13 , the operations further comprising:

generating a geological structural map of the subterranean formation based on the acquired seismic measurements and the determined geological structural style; and

determining one or more locations to drill wells in the subterranean formation based on the geological structural map of the subterranean formation.

17 . One or more non-transitory machine-readable storage devices storing instructions for identifying a geological structural style of a subterranean formation, the instructions being executable by one or more processors, to cause performance of operations comprising:

accessing, from a data store, seismic reflection measurements of the subterranean formation;

isolating one or more signals in the accessed measurements, the one or more signals having larger amplitudes relative to one or more other signals in the accessed measurements;

obtaining a set of structural geology geometric primitives wherein each structural geology geometric primitive comprises geometric data representing a known structural geological style;

identifying at least one best fit between a set of the one or more isolated signals and a structural geology geometric primitive from the set of structural geology geometric primitives;

determining a degree of confidence for at least one best fit identified; and

determining a geological structural style of the subterranean formation based on the identified at least one best fit and based on the determined degree of confidence for that best fit.

18 . The non-transitory machine readable storage devices of claim 17 , wherein identifying at least one best fit comprises:

identifying key points in at least one isolated signal using a scale invariant feature transform (SIFT);

determining a probability of match based on a Euclidean distance between key points in the at least one isolated signal and key points in the set of structural geology geometric primitives; and

selecting a structural geology geometric primitive from the set of structural geology geometric primitives with a highest probability of match with the at least one isolated signal.

19 . The non-transitory machine readable storage devices of claim 18 , wherein determining a degree of confidence for each fit is based on the probability of match for each best fit identified.

20 . The non-transitory machine readable storage devices of claim 17 , the operations further comprising:

generating a geological structural map of the subterranean formation based on the acquired seismic measurements and the determined geological structural style; and

determining one or more locations to drill wells in the subterranean formation based on the geological structural map of the subterranean formation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 21, 2023
From: STEWART, SIMON A.
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 063046/0124 →
Continuity (1)
Related Publication 20240302553A1 · Sep 12, 2024
References Cited (33)
US 6711293B1 · Lowe · 2004 [cited by applicant]
US 6757614B2 · Pepper et al. · 2004 [cited by applicant]
US 8725477B2 · Zhang et al. · 2014 [cited by applicant]
US 9005983B2 · McGuinness et al. · 2015 [cited by applicant]
US 10990882B2 · Borrel et al. · 2021 [cited by applicant]
US 11852771B1 · Tian · 2023 [cited by examiner]
US 20100027377A1 · Zuercher · 2010 [cited by examiner]
US 20140118350A1 · Imhof et al. · 2014 [cited by applicant]
US 20240302553A1 · Stewart · 2024 [cited by examiner]
WO WO1999064896 · 1999 [cited by applicant]
Analysis of geological structures, 1st ed., Cambridge University Press, Aug. 1990, pp. 127 and 128. [cited by applicant]
Anderson “The dynamics of faulting,” Transactions of the Edinburgh Geological Society, Mar. 1905, 8(3):387-402, 16 pages. [cited by applicant]
Balanced Geological Cross-sections: An essential technique in geological research and exploration, vol. 6, Crawford and Padovani (eds)., Jan. 1989, 139 pages. [cited by applicant]
Boyer et al. “Thrust Systems,” AAPG Bulletin, Sep. 1982, 66(9): 1196-1230, 36 pages. [cited by applicant]
Catuneanu, “Model-independent sequence stratigraphy,” Earth-Science Reviews, Jan. 2019, 188:312-388, 77 pages. [cited by applicant]
Confalonieri et al., “A historical perspective of explainable Artificial Intelligence,” WIREs Data Mining and Knowledge Discovery, Oct. 2020, 11(1), 21 pages. [cited by applicant]
Fernandez et al. “Quantifying and correcting errors derived from apparent dip in the construction of dip-domain cross-sections,” Journal of Structural Geology, Jan. 2003, 25(11):35-42, 8 pages. [cited by applicant]
Groshong “3-D Structural Geology: A practical guide to quantitative surface and subsurface map interpretation,” Geology, Second Edition, Springer-Verlag, Berlin, Jan. 2006, pp. 49-53, 5 pages. [cited by applicant]
Gunderson et al., “Machine learning applications to seismic structural interpretation: Philosophy, progress, pitfalls, and potential,” 2021, AAPG Bulletin, 106:11, 2187-2202, 16 pages. [cited by applicant]
Healy et al., “Stress, faulting, fracturing and seismicity: the legacy of Ernest Masson Anderson,” Geological Society, 367(1):6 pages. [cited by applicant]
Hubbert “Graphic Solution of Strike and Dip from Two Angular Components,” AAPG Bulletin, Jan. 1931, 283-286, 4 pages. [cited by applicant]
Judge et al., “Assessing uncertainties in balanced cross sections,” Journal of Structural Geology, Apr. 2011, 33(4):458-467, 10 pages. [cited by applicant]
Mcclay et al., “4-D Evolution of Rift Systems: Insights from Scaled Physical Models,” AAPG Bulletin, Jun. 2002, 86(6):935-959, 25 pages. [cited by applicant]
Mitchum et al., “Seismic stratigraphy and global changes of sea level, part 2: the depositional sequence as a basic unit for stratigraphic analysis,” AAPG Memoir, 1977, 26:53-62, 10 pages. [cited by applicant]
Mitchum, et al., “Seismic stratigraphy and global changes of sea level, part 6: stratigraphic interpretation of seismic reflection patterns in depositional sequences,” AAPG Memoir, 1977, 26:117-133, 17 pages. [cited by applicant]
Roberto et at., “Modeling and reasoning techniques in geologic interpretation,” IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, Sep. 1999, 29(5):460-473, 14 pages. [cited by applicant]
Stewart et al., “Salt tectonics in the North Sea Basin: a structural style template for seismic interpreters,” Deformation of the Continental Crust: The Legacy of Mike Coward. Geological Society, London, Special Publica… [cited by applicant]
Stewart, “Vertical exaggeration of reflection seismic data in geoscience publications 2006-2010,” Marine and Petroleum Geology, May 2011, 28(5):959-965, 7 pages. [cited by applicant]
Van Hoek et al., “Geometric attributes for seismic stratigraphic interpretation,” The Leading Edge, Sep. 2010, 1056-1065, 8 pages. [cited by applicant]
Vilone et al., “Notions of explainability and evaluation approaches for explainable artificial intelligence,” Information Fusion, May 2021, 76, 89-106, 18 pages. [cited by applicant]
Williams, Tectonics and seismic sequence stratigraphy: an introduction, Tectonics and Seismic Sequence Stratigraphy, 1993, 71:13 pages. [cited by applicant]
Xia et al., “Geometric Primitives in LiDAR Point Clouds: A Review,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 13, 687-707, 24 pages. [cited by applicant]
Xu et al., “Seismic facies analysis: Past, present and future,” Earth-Science Reviews, 224:103876, 30 pages. [cited by applicant]