Diagenetic and depositional rock analysis

Patent metadata

Field	Value
Publication number	US-10502863-B2
Application number	US-201615550792-A
Country	US
Kind code	B2
Filing date	Feb 12, 2016
Priority date	Feb 13, 2015
Publication date	Dec 10, 2019
Grant date	Dec 10, 2019

Abstract

A method can include receiving data for a geologic environment where the data include data acquired via different types of borehole tool sensors; based at least in part on the data, determining rock composition of the geologic environment where the rock composition includes depositional components and diagenetic components; and, based at least in part on the rock composition, outputting a stratigraphic model of at least a portion of the geologic environment.

First claim

What is claimed is:

1. A method comprising:
receiving data for a geologic environment wherein the data comprise data acquired via different types of borehole tool sensors;
based at least in part on the data, determining rock composition of the geologic environment wherein the rock composition comprises depositional components and diagenetic components, wherein the determining rock composition comprises determining detrital mineral composition values for trace minerals associated with at least one of the depositional components and calculating a detrital index value based at least in part on the detrital mineral composition values for the trace minerals; and
based at least in part on the rock composition, outputting a stratigraphic model of at least a portion of the geologic environment, wherein a portion of the stratigraphic model is attributed to a particular geological source based at least in part on the detrital index value.

2. The method of claim 1 wherein the determining rock composition comprises determining diagenetic mineral composition values associated with at least one of the diagenetic components, calculating a diagenetic index value based at least in part on the diagenetic mineral composition values and, based at least in part on the diagenetic index value, attributing a portion of the stratigraphic model to a particular geological source.

3. The method of claim 1 wherein the determining rock composition comprises determining diagenetic mineral composition values associated with at least one of the diagenetic components and calculating a diagenetic index value based at least in part on the diagenetic mineral composition values; and, based at least in part on the detrital index value and the diagenetic index value, attributing a portion of the stratigraphic model to a particular geological source.

4. The method of claim 3 wherein the detrital index value is normalized by a quartz composition value and wherein the diagenetic index value is normalized by a calcite composition value.

5. The method of claim 1 wherein the determining comprises elemental analysis.

6. The method of claim 1 wherein the stratigraphic model comprises a reservoir model, a completion model or a reservoir model and a completion model.

7. The method of claim 1 wherein the determining comprises determining that the rock composition of the geologic environment comprises at least one igneous deposit.

8. The method of claim 7 wherein the at least one igneous deposit comprises a weathered volcanic ash bed.

9. The method of claim 7 further comprising adjusting a completion plan based at least in part on the at least one igneous deposit.

10. The method of claim 7 wherein at least one of the at least one igneous deposit comprises a thickness less than approximately 10 cm.

11. The method of claim 1 wherein at least one of the different types of borehole tool sensors acquires raw data with a resolution less than approximately 10 cm.

12. The method of claim 1 wherein the different types of borehole tool sensors comprise at least one sensor selected from a group consisting of a micro-resistivity sensor, a photoelectric factor sensor, an image sensor, a dielectric and conductivity dispersion sensor, a neutron porosity sensor, and an ultrasonic sensor.

13. The method of claim 1 wherein the data comprise sonic data, NMR data and gamma ray spectroscopy data.

14. The method of claim 13 wherein the determining comprises determining at least one pore characteristic that comprises a surface to volume ratio or a volume to surface ratio based at least in part on a portion of the NMR data and determining at least one value for the Thomsen gamma parameter based at least in part on at least a portion of the sonic data.

15. The method of claim 1 wherein the data comprise counting rates in a formation for each of a plurality of radiation detectors.

16. The method of claim 15 wherein the determining comprises computing density values and photoelectric factor values based at least in part on the counting rates; applying density depth match filters to the density values to generated filtered density values; and applying photoelectric factor depth match filters to the photoelectric factor values to generate filtered photoelectric factor values wherein each of the radiation detectors is associated with a corresponding depth match filter and a corresponding photoelectric factor filter.

17. The method of claim 16 wherein the stratigraphic model is based at least in part on the generated filtered density values and the generated filtered photoelectric factor values.

18. The method of claim 1 wherein the detrital index value is normalized by a quartz composition value.

19. A system comprising:
a processor;
memory accessibly by the processor;
instructions stored in the memory and executable by the processor to instruct the system to:
receive data for a geologic environment wherein the data comprise data acquired via different types of borehole tool sensors;
based at least in part on the data, determine rock composition of the geologic environment wherein the rock composition comprises depositional components and diagenetic components and wherein to determine rock composition comprises determination of detrital mineral composition values for trace minerals associated with at least one of the depositional components and calculation of a detrital index value based at least in part on the detrital mineral composition values for the trace minerals; and
based at least in part on the rock composition, output a stratigraphic model of at least a portion of the geologic environment, wherein a portion of the stratigraphic model is attributed to a particular geological source based at least in part on the detrital index value.

20. One or more non-transitory computer-readable storage media comprising processor-executable instructions wherein the processor-executable instructions comprise instructions to instruct a computer to:
receive data for a geologic environment wherein the data comprise data acquired via different types of borehole tool sensors;
based at least in part on the data, determine rock composition of the geologic environment wherein the rock composition comprises depositional components and diagenetic components and wherein to determine rock composition comprises determination of detrital mineral composition values for trace minerals associated with at least one of the depositional components and calculation of a detrital index value based at least in part on the detrital mineral composition values for the trace minerals; and
based at least in part on the rock composition, output a stratigraphic model of at least a portion of the geologic environment, wherein a portion of the stratigraphic model is attributed to a particular geological source based at least in part on the detrital index value.

Assignees

• Schlumberger Technology Corp

Inventors

• Mosse Laurent
• Gamero Diaz Helena
• Kherroubi Josselin
• Calvin Christina
• Rylander Erik

Classifications

• G01V2210/66

  Subsurface modeling · CPC title

• G01N33/24

  Earth materials (G01N33/42 takes precedence) · CPC title

• G01V11/00 Primary

  Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00 · CPC title

• G01V99/005

  Physics · mapped topic

• G01V20/00 Primary

  Geomodelling in general · CPC title