Cuttings-based well logging

1. A method for cuttings-based well logging, the method comprising:

converting measurements of cuttings samples from one or more depth intervals of a wellbore to a concentration percent of one or more elements;

determining a one or more minerals of the cuttings samples from the concentration percent;

building a mineralogy model for the cuttings sample based at least in part on a gravimetric conversion of the concentration percent of at least some of the one or more elements to a concentration percent of the one or more minerals;

normalizing the concentration percent of the one or more minerals;

computing a photo-electric absorption factor (PEF) of the cuttings samples for each of the one or more depth intervals; and

presenting to a user a log of the computed PEF as a function of wellbore depth.

2. The method of claim 1 , wherein the one or more depth intervals are presented to a user as part of a graphical representation of formation bed layers traversed by the wellbore or as part of a well log of one or more of the properties of the wellbore.

3. The method of claim 1 , wherein the measurements performed are selected from a group of measurement techniques consisting X-ray florescence (XRF), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy and electromagnetic spectroscopy.

4. The method of claim 1 , wherein the concentration percent comprises a weight percent comprising an elemental weight percent, a mineralogical weight percent or total organic carbon (TOC).

5. The method of claim 1 , further comprising:

determining one or more facies based at least in part on the PEF, a bulk density or the one or more minerals of the cuttings samples for each of the one or more depth intervals or on the one or more minerals;

selecting at least one depth interval of the one or more depth intervals based at least in part on the PEF for each of the one or more depth intervals or on the one or more facies;

characterizing one or more properties of the wellbore based upon the at least one depth interval;

creating one or more trends based on the PEF, the bulk density or porosity of the cutting samples for each of the at least one depth interval or on the one or more facies; and

repopulating an existing log of the wellbore based upon the one or more trends and presenting the repopulated log to the user.

6. The method of claim 5 , wherein the bulk density comprises a measured bulk density of the cutting samples for each of the at least one depth interval or a bulk density measurement corresponding to each of the at least one depth interval and obtained from an existing log of the wellbore.

7. A cuttings-based well logging system, comprising:

a memory having cuttings-based well logging software; and

one or more processors coupled to the memory, the software causing the one or more processors to:

convert measurements of cuttings samples from one or more depth intervals of a wellbore to a concentration percent of one or more elements;

determine a one or more minerals of the cuttings samples from the concentration percent;

build a mineralogy model for the cuttings sample based at least in part on a gravimetric conversion of the concentration percent of at least some of the one or more elements to a concentration percent of the one or more minerals;

normalize the concentration percent of the one or more minerals;

compute a photo-electric absorption factor (PEF) of the cuttings samples for each of the one or more depth intervals; and

present to a user a log of the computed PEF as a function of wellbore depth.

8. The system of claim 7 , wherein the one or more depth intervals are presented to a user as part of a graphical representation of formation bed layers traversed by the wellbore or as part of a well log of one or more of the properties of the wellbore.

9. The system of claim 7 , wherein the measurements performed are selected from a group of measurement techniques consisting X-ray florescence (XRF), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy and electromagnetic spectroscopy.

10. The system of claim 7 , wherein the concentration percent comprises a weight percent comprising an elemental weight percent, a mineralogical weight percent or total organic carbon (TOC).

11. The system of claim 7 , wherein the software further causes the one or more processors to:

determine one or more facies based at least in part on the PEF, a bulk density or the one or more minerals of the cuttings samples for each of the one or more depth intervals or on the one or more minerals;

select at least one depth interval of the one or more depth intervals based at least in part on the PEF for each of the one or more depth intervals or on the one or more facies;

characterize one or more properties of the wellbore based upon the at least one depth interval;

create one or more trends based on the PEF, the bulk density or porosity of the cutting samples for each of the at least one depth interval or on the one or more facies; and

repopulate an existing log of the wellbore based upon the one or more trends and presenting the repopulated log to the user.

12. The system of claim 11 , wherein the bulk density comprises a measured bulk density of the cutting samples for each of the at least one depth interval or a bulk density measurement corresponding to each of the at least one depth interval and obtained from an existing log of the wellbore.