Identifying fracture barriers for hydraulic fracturing

1. A method for identifying fracture barriers in a well, the method comprising:

converting rebound hardness values of a rock specimen from the well to unconfined compressive strength (UCS) values, wherein each of the rebound hardness values corresponds to a respective coordinate of a measurement grid imposed on the rock specimen, wherein the coordinates of the measurement grid are depth and columns;

for each column of the grid, plotting the UCS values versus depth;

mapping, based on a maximum UCS value and a minimum UCS value, a relative strength contour plot for the rock specimen;

mapping, based on a fixed strength range, an absolute strength contour plot for the rock specimen; and

determining, based on the relative strength contour, the absolute strength contour, and mineralogy of the rock specimen, that the rock specimen is indicative of a fracture barrier in the well.

2. The method of claim 1 , wherein the measurement grid is a square grid pattern, and wherein the method further comprises:

imposing the square grid pattern on the rock specimen;

developing a coordinate system depending on mineral particle size distributions or data resolution of a device used to measure rebound hardness values; and

measuring, at intersections in the square grid pattern, rebound hardness values of the rock specimen.

3. The method of claim 1 , wherein converting rebound hardness values of the rock specimen to UCS values comprises:

if the rock specimen is a ⅓ slab section core:

using a first empirical calibration equation y=3.7727e 0.005x to convert the rebound hardness values to UCS values, and

if the rock specimen is a ⅔ butt section cores:

using a second empirical calibration equation y=2.1454e 0.0058x to convert the rebound hardness values to UCS values.

4. The method of claim 1 , further comprising:

plotting, using UCS values and corresponding depths for a plurality of rock specimens from the well, a strength contrast profile for the well, wherein determining that the rock specimen is indicative of a fracture barrier in the well is further based on the strength contrast profile for the well.

5. The method of claim 4 , further comprising:

applying a rock strength classification to the strength contrast profile to quantitatively classify the strength contrast profile.

6. The method of claim 1 , wherein the mineralogy of the rock specimen is a micro-X-ray fluorescence (μ-XRF) elemental map generated using μ-XRF analysis of the rock specimen.

7. The method of claim 1 , further comprising:

updating fracking parameters based on the fracture barrier.

8. A non-transitory computer-readable medium storing one or more instructions executable by a computer system to perform operations for identifying fracture barriers in a well, the operations comprising:

converting rebound hardness values of a rock specimen from the well to unconfined compressive strength (UCS) values, wherein each of the rebound hardness values corresponds to a respective coordinate of a measurement grid imposed on the rock specimen, wherein the coordinates of the measurement grid are depth and columns;

for each column of the grid, plotting the UCS values versus depth;

mapping, based on a maximum UCS value and a minimum UCS value, a relative strength contour plot for the rock specimen;

mapping, based on a fixed strength range, an absolute strength contour plot for the rock specimen; and

determining, based on the relative strength contour, the absolute strength contour, and mineralogy of the rock specimen, that the rock specimen is indicative of a fracture barrier in the well.

9. The non-transitory computer-readable medium of claim 8 , wherein the measurement grid is a square grid pattern, and wherein the operations further comprise:

imposing the square grid pattern on the rock specimen;

developing a coordinate system depending on mineral particle size distributions or data resolution of a device used to measure rebound hardness values; and

measuring, at intersections in the square grid pattern, rebound hardness values of the rock specimen.

10. The non-transitory computer-readable medium of claim 8 , wherein converting rebound hardness values of the rock specimen to UCS values comprises:

if the rock specimen is a ⅓ slab section core:

using a first empirical calibration equation y=3.7727e 0.005x to convert the rebound hardness values to UCS values, and

if the rock specimen is a ⅔ butt section cores:

using a second empirical calibration equation y=2.1454e 0.0058x convert the rebound hardness values to UCS values.

11. The non-transitory computer-readable medium of claim 8 , the operations further comprising:

plotting, using UCS values and corresponding depths for a plurality of rock specimens from the well, a strength contrast profile for the well, wherein determining that the rock specimen is indicative of a fracture barrier in the well is further based on the strength contrast profile for the well.

12. The non-transitory computer-readable medium of claim 11 , the operations further comprising:

applying a rock strength classification to the strength contrast profile to quantitatively classify the strength contrast profile.

13. The non-transitory computer-readable medium of claim 11 , the operations further comprising:

updating fracking parameters based on the fracture barrier.

14. The non-transitory computer-readable medium of claim 8 , wherein the mineralogy of the rock specimen is a micro-X-ray fluorescence (μ-XRF) elemental map generated using μ-XRF analysis of the rock specimen.

15. An apparatus for identifying fracture barriers in a well, comprising:

one or more processors; and

a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors, the programming instructions instructing the one or more processors to perform operations comprising:

converting rebound hardness values of a rock specimen from the well to unconfined compressive strength (UCS) values, wherein each of the rebound hardness values corresponds to a respective coordinate of a measurement grid imposed on the rock specimen, wherein the coordinates of the measurement grid are depth and columns;

for each column of the grid, plotting the UCS values versus depth;

mapping, based on a maximum UCS value and a minimum UCS value, a relative strength contour plot for the rock specimen;

mapping, based on a fixed strength range, an absolute strength contour plot for the rock specimen; and

determining, based on the relative strength contour, the absolute strength contour, and mineralogy of the rock specimen, that the rock specimen is indicative of a fracture barrier in the well.

16. The apparatus of claim 15 , wherein the measurement grid is a square grid pattern, and wherein the operations further comprise:

imposing the square grid pattern on the rock specimen;

developing a coordinate system depending on mineral particle size distributions or data resolution of a device used to measure rebound hardness values; and

measuring, at intersections in the square grid pattern, rebound hardness values of the rock specimen.

17. The apparatus of claim 15 , wherein converting rebound hardness values of the rock specimen to UCS values comprises:

if the rock specimen is a ⅓ slab section core:

using a first empirical calibration equation y=3.7727e 0.005x to convert the rebound hardness values to UCS values, and

if the rock specimen is a ⅔ butt section cores:

using a second empirical calibration equation y=2.1454e 0.058x convert the rebound hardness values to UCS values.

18. The apparatus of claim 15 , the operations further comprising:

plotting, using UCS values and corresponding depths for a plurality of rock specimens from the well, a strength contrast profile for the well, wherein determining that the rock specimen is indicative of a fracture barrier in the well is further based on the strength contrast profile for the well.

19. The apparatus of claim 18 , the operations further comprising:

applying a rock strength classification to the strength contrast profile to quantitatively classify the strength contrast profile.

20. The apparatus of claim 15 , the operations further comprising:

updating fracking parameters based on the fracture barrier.