Determining Fracture Roughness from a Core
AssigneesSaudi Arabian Oil Company, The Chancellor, Masters and Scholars of the University of Oxford
InventorsMohammed M. Al-Fahmi, Sait Ismail Ozkaya
Life of this patent
Estimating the term…
Abstract
A computer-implemented method for determining fracture roughness from a core is described. In examples, a drill core is scanned to obtain core images, and natural fractures in the core images are identified using sequential filtering. The identified natural fractures in the core images are digitized and used to obtain a fracture profile comprising a pair of sinusoids corresponding to the top wall and the base wall of the identified natural fractures. A best fitting sinusoid of the fracture profile is determined and used to calculate at least one statistical estimator. The calculated statistical estimator is used to calculate a joint roughness coefficient.
Claims20
A computer-implemented method for determining fracture roughness from a drill core, the method comprising:
- scanning, using at least one hardware processor, a drill core to obtain core images;
- identifying, using the at least one hardware processor, natural fractures in the core images, wherein the identification of natural fractures is done using sequential filtering that comprises:
- excluding from further processing core images that show fractures formed by damage to the drill core;
- excluding from further processing core images that show bed splitting;
- excluding from further processing core images that show disking;
- excluding from further processing core images that show vertical fractures with planes parallel to a direction of maximum horizontal stress when the core is obtained from a vertical borehole;
- and
- excluding from further processing veins and other fractures of partial intersections;
- digitizing, using the at least one hardware processor, the identified natural fractures in the core images to obtain a pair of ellipses corresponding to a top wall and a base wall of the identified natural fractures;
- unrolling, using the at least one hardware processor, the pair of ellipses into a fracture profile comprising a pair of sinusoids corresponding to the top wall and the base wall of the identified natural fractures;
- determining, using the at least one hardware processor, a best fitting sinusoid of the fracture profile, wherein at least one statistical estimator is calculated using a difference between the best fitting sinusoid and the fracture profile;
- and
- converting, using the at least one hardware processor, the calculated statistical estimators to a joint roughness coefficient.
An apparatus comprising a non-transitory, computer readable, storage medium that stores instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
- scanning a drill core to obtain core images;
- identifying natural fractures in the core images, wherein the identification of natural fractures is done using sequential filtering that comprises:
- excluding from further processing core images that show fractures formed by damage to the drill core;
- excluding from further processing core images that show bed splitting;
- excluding from further processing core images that show disking;
- excluding from further processing core images that show vertical fractures with planes parallel to a direction of maximum horizontal stress when the core is obtained from a vertical borehole;
- and
- excluding from further processing veins and other fractures of partial intersections;
- digitizing the identified natural fractures in the core images to obtain a pair of ellipses corresponding to a top wall and a base wall of the identified natural fractures;
- unrolling the pair of ellipses into a fracture profile comprising a pair of sinusoids corresponding to the top wall and the base wall of the identified natural fractures;
- determining a best fitting sinusoid of the fracture profile, wherein at least one statistical estimator is calculated using a difference between the best fitting sinusoid and the fracture profile;
- and
- converting the calculated statistical estimators to a joint roughness coefficient.
A system, comprising:
- one or more memory modules;
- one or more hardware processors communicably coupled to the one or more memory modules, the one or more hardware processors configured to execute instructions stored on the one or more memory models to perform operations comprising:
- scanning a drill core to obtain core images;
- identifying natural fractures in the core images, wherein the identification of natural fractures is done using sequential filtering that comprises:
- excluding from further processing core images that show fractures formed by damage to the drill core;
- excluding from further processing core images that show bed splitting;
- excluding from further processing core images that show disking;
- excluding from further processing core images that show vertical fractures with planes parallel to a direction of maximum horizontal stress when the core is obtained from a vertical borehole;
- and
- excluding from further processing veins and other fractures of partial intersections;
- digitizing the identified natural fractures in the core images to obtain a pair of ellipses corresponding to a top wall and a base wall of the identified natural fractures;
- unrolling the pair of ellipses into a fracture profile comprising a pair of sinusoids corresponding to the top wall and the base wall of the identified natural fractures;
- determining a best fitting sinusoid of the fracture profile, wherein at least one statistical estimator is calculated using a difference between the best fitting sinusoid and the fracture profile;
- and
- converting the calculated statistical estimators to a joint roughness coefficient.
Dependencies are inferred from the claim text.