Systems and methods for identifying subsurface features as a function of position in a subsurface volume of interest

1. A computer-implemented method for identifying subsurface features as a function of position in a subsurface volume of interest, the method being implemented in a computer system that includes one or more physical computer processors, non-transient electronic storage, and a graphical user interface, comprising:

a) obtaining, from the electronic storage, subsurface relaxation time data specifying subsurface relaxation time values corresponding to a well in the subsurface volume of interest;

b) generating, with the one or more physical computer processors, a subsurface relaxation time distribution using the subsurface relaxation time data, wherein the subsurface relaxation time distribution specifies the subsurface relaxation time values as a function of porosity values; and wherein the subsurface relaxation time values are sorted into one or more subsurface relaxation time bins;

c) generating, with the one or more physical computer processors, a subsurface porosity distribution using the subsurface relaxation time distribution, wherein the subsurface porosity distribution sorts the subsurface relaxation time values into one or more subsurface porosity bins;

d) generating, with the one or more physical computer processors, a representation of the subsurface porosity distribution in the subsurface volume of interest using visual effects to depict at least one of the subsurface relaxation time values;

e) displaying, on the graphical user interface, the representation;

f) repeating, with the one or more physical computer processors, steps (a)-(e) to generate and display, on the graphical user interface, multiple representations corresponding to one or more wells in the subsurface volume of interest; and

g) identifying, with the one or more physical computer processors, correlations between the one or more wells based on visual effects between the multiple representations as a function of position in the one or more wells.

2. The computer-implemented method of claim 1 , wherein one or more of the subsurface relaxation time values correspond to a porosity feature.

3. The computer-implemented method of claim 2 , wherein the porosity feature comprises clay bound fluid, capillary bound fluid, and movable fluid in large pores.

4. The computer-implemented method of claim 1 , wherein the visual effects comprise mapping the subsurface relaxation time values corresponding to a given porosity feature to a given color gradient.

5. The computer-implemented method of claim 1 , wherein the representation depicts subsurface relaxation time values increasing as the subsurface porosity bin value increases.

6. The computer-implemented method of claim 1 , wherein the representation depicts subsurface relaxation time values decreasing as the subsurface porosity bin value increases.

7. The computer-implemented method of claim 1 , wherein the one or more subsurface porosity bins are equally spaced in the subsurface porosity distribution.

8. A system configured for identifying subsurface features as a function of position in a subsurface volume of interest, the system comprising:

non-transient electronic storage;

a graphical user interface; and

one or more physical computer processors configured by machine-readable instructions to:

a) obtain, from the electronic storage, subsurface relaxation time data specifying subsurface relaxation time values corresponding to a well in the subsurface volume of interest;

b) generate, with the one or more physical computer processors, a subsurface relaxation time distribution using the subsurface relaxation time data, wherein the subsurface relaxation time distribution specifies the subsurface relaxation time values as a function of porosity values; and wherein the subsurface relaxation time values are sorted into one or more subsurface relaxation time bins;

c) generate, with the one or more physical computer processors, a subsurface porosity distribution using the subsurface relaxation time distribution, wherein the subsurface porosity distribution sorts the subsurface relaxation time values into one or more subsurface porosity bins;

d) generate, with the one or more physical computer processors, a representation of the subsurface porosity distribution in the subsurface volume of interest using visual effects to depict at least one of the subsurface relaxation time values:

e) display, on the graphical user interface, the representation;

f) repeat, with the one or more physical computer processors, steps (a)-(e) to generate and display, on the graphical user interface, multiple representations corresponding to one or more wells in the subsurface volume of interest; and

g) identify, with the one or more physical computer processors, correlations between the one or more wells based on visual effects between the multiple representations as a function of position in the one or more wells.

9. The system of claim 8 , wherein one or more of the subsurface relaxation time values correspond to a porosity feature.

10. The system of claim 9 , wherein the porosity feature comprises clay bound fluid, capillary bound fluid, and movable fluid in large pores.

11. The system of claim 8 , wherein the visual effects comprise mapping the subsurface relaxation time values corresponding to a given porosity feature to a given color gradient.

12. The system of claim 8 , wherein the representation depicts subsurface relaxation time values increasing as the subsurface porosity bin value increases.

13. The system of claim 8 , wherein the representation depicts subsurface relaxation time values decreasing as the subsurface porosity bin value increases.

14. The system of claim 8 , wherein the one or more subsurface porosity bins are equally spaced in the subsurface porosity distribution.

15. A computer-implemented method for identifying subsurface features as a function of position in a subsurface volume of interest, the method being implemented in a computer system that includes one or more physical computer processors, non-transient electronic storage, and a graphical user interface, comprising:

a) obtaining, from the electronic storage, an imaging log representing a well in the subsurface volume of interest;

b) generating, with the one or more physical computer processors, one or more estimated subsurface porosity bins using the imaging log;

c) generating, with the one or more physical computer processors, a subsurface pore size distribution using the one or more estimated subsurface porosity bins for a position in the subsurface volume of interest, wherein the subsurface relaxation time distribution specifies subsurface pore size values as a function of porosity values; and wherein the subsurface pore size values are sorted into one or more subsurface pore size bins;

d) generating, with the one or more physical computer processors, a subsurface porosity distribution using the subsurface pore size distribution, wherein the subsurface pore size distribution sorts subsurface pore size values into one or more subsurface porosity bins;

e) generating, with the one or more physical computer processors, a representation of the subsurface pore size distribution in the subsurface volume of interest using visual effects to depict at least one of the subsurface pore size values;

f) displaying, on the graphical user interface, the representation;

g) repeating, with the one or more physical computer processors, steps (a)-(f) to generate and display, on the graphical user interface, multiple representations corresponding to one or more wells in the subsurface volume of interest; and

h) identifying, with the one or more physical computer processors, correlations between the one or more wells based on visual effects between the multiple representations as a function of position in the one or more wells.

16. The computer-implemented method of claim 15 , wherein one or more of the subsurface relaxation time values correspond to a porosity feature, and wherein the porosity feature comprises clay bound fluid, capillary bound fluid, and movable fluid in large pores.

17. The computer-implemented method of claim 15 , wherein the one or more subsurface porosity bins are equally spaced in the subsurface porosity distribution.