Statistical analysis of combined log data
A method for determining at least one characteristic of a geological formation having a borehole therein may include collecting nuclear magnetic resonance (NMR) data of the geological formation adjacent the borehole, and collecting non-NMR data for the geological formation adjacent the wellbore. The method may further include performing a Monte Carlo analysis based upon a combination of the collected NMR and non-NMR data to determine the at least one characteristic of the geological formation having a bounded uncertainty associated therewith.
1. A method for determining at least one characteristic of a geological formation having a wellbore therein, the method comprising:
collecting nuclear magnetic resonance (NMR) data for the geological formation adjacent the wellbore, said NMR data being generated by logging the geological formation with an NMR logging tool deployed in the wellbore;
collecting non-NMR data for the geological formation adjacent the wellbore, said non-NMR data being generated by logging the geological formation with a non-NMR logging tool deployed in the wellbore; and
performing a Monte Carlo analysis based upon a combination of the collected NMR and non-NMR data to determine the at least one characteristic of the geological formation having a bounded uncertainty associated therewith, wherein the Monte Carlo analysis is performed on variables comprising total porosity and water volume of the geological formation with input probability distributions defined by measured total porosity and water-filled porosity.
2. The method of claim 1 wherein the non-NMR data comprises dielectric dispersion data.
3. The method of claim 1 wherein the non-NMR data comprises resistivity data.
4. The method of claim 1 wherein the non-NMR data comprises nuclear measurement data, sonic data, or ELAN analysis data.
5. The method of claim 1 wherein the at least one characteristic of the geological formation comprises a volume of a material within the geological formation.
6. The method of claim 1 wherein the at least one characteristic of the geological formation comprises a viscosity of a material within the geological formation.
7. The method of claim 1 wherein the at least one characteristic of the geological formation comprises a volume of water within the geological formation.
8. The method of claim 1 wherein performing the Monte Carlo analysis further comprises performing a Metropolis-Hastings Monte Carlo analysis.
9. The method of claim 1 wherein the NMR data comprises at least echo amplitudes.
10. The method of claim 1 wherein performing the Monte Carlo analysis comprises performing the Monte Carlo analysis based upon a forward model relating the collected NMR data and collected non-NMR data to the at least one characteristic of the geological formation.
11. The method of claim 1 wherein performing the Monte Carlo analysis comprises performing the Monte Carlo analysis based upon at least one water kernel parameter and at least one oil kernel parameter.
12. A method for determining at least one characteristic of a fluid in geological formation, the method comprising:
collecting nuclear magnetic resonance (NMR) data for the fluid, said NMR data being generated by an NMR logging tool deployed in a wellbore traversing the geological formation;
collecting non-NMR data for the fluid, said non-NMR data being generated by a non-NMR logging tool deployed in the wellbore traversing the geological formation; and
performing a Monte Carlo analysis using as input parameters a combination of the collected NMR and non-NMR data to determine the at least one characteristic of the fluid having a bounded uncertainty associated therewith, wherein the Monte Carlo analysis is performed on variables comprising total porosity and water volume of the geological formation with input probability distributions defined by measured total porosity and water-filled porosity.
13. The method of claim 12 wherein the non-NMR data comprises dielectric dispersion data.
14. The method of claim 12 wherein the non-NMR data comprises resistivity data.
15. The method of claim 12 wherein the non-NMR data comprises nuclear measurement data, sonic data, or ELAN analysis data.
16. The method of claim 12 wherein the at least one characteristic of the fluid comprises a volume of the fluid within the geological formation.
17. The method of claim 12 wherein the at least one characteristic of the fluid comprises a viscosity of the fluid within the geological formation.
18. A well-logging system comprising:
at least one nuclear magnetic resonance (NMR) well logging tool to collect nuclear magnetic resonance (NMR) data for a geological formation adjacent a wellbore;
at least one non-NMR well logging tool to collect non-NMR data for the geological formation adjacent the wellbore; and
a processor to perform a Monte Carlo analysis based upon a combination of the collected NMR and non-NMR data from said at least one well logging tool to determine the at least one characteristic of the geological formation having a bounded uncertainty associated therewith, wherein the Monte Carlo analysis is performed on variables comprising total porosity and water volume of the geological formation with input probability distributions defined by measured total porosity and water-filled porosity.
19. The well-logging system of claim 18 wherein the non-NMR data comprises dielectric dispersion data.
20. The well-logging system of claim 18 wherein the non-NMR data comprises resistivity data.
21. The well-logging system of claim 18 wherein the non-NMR data comprises nuclear measurement data, sonic data, or ELAN analysis data.
22. The well-logging system of claim 18 wherein the at least one characteristic of the geological formation comprises a volume of a material within the geological formation.
23. The well-logging system of claim 18 wherein the at least one characteristic of the geological formation comprises a viscosity of a material within the geological formation.