Thermal maturity estimation via logs

Patent metadata

Field	Value
Publication number	US-10983246-B2
Application number	US-201514977336-A
Country	US
Kind code	B2
Filing date	Dec 21, 2015
Priority date	Dec 21, 2015
Publication date	Apr 20, 2021
Grant date	Apr 20, 2021

Abstract

The systems and methods provided herein relate to extracting maturity-based properties from input log data obtained by a downhole well logging tool. A maturity inversion is performed using the input log data, a log response model, and at least one maturity model to extract maturity-based properties from the input log data. The maturity-based properties are provided in an output log, such that subsequent down hole operation of the formation may account for the maturity-based properties.

First claim

The invention claimed is:

1. A method comprising:
when a downhole logging tool is at a plurality of desired logging depths of a borehole in a formation, obtaining input log data via the downhole logging tool;
obtaining, via a data processing system communicatively coupled to the downhole logging tool, a log response by applying the input log data to a log response model;
applying, via the data processing system, at least one maturity model to the log response;
performing, via the data processing system, a maturity inversion to extract dynamic maturity-based properties associated with the formation at the plurality of desired logging depths from the input log data, wherein the maturity inversion is performed based on a minimization of a cost defined by dynamic parameters, wherein the maturity inversion comprises:
comparing the input log data to estimated log data derived from a model using the dynamic parameters, wherein the dynamic parameters comprise one or more of a fractional kerogen volume, a fractional hydrocarbon volume, a kerogen density, a hydrocarbon density, and a fractional water volume;
determining whether the estimated log data is within a threshold level of match of the input log data;
iteratively, while the estimated log data is not within the threshold level of match of the input log data, adjusting the dynamic parameters to generate updated dynamic parameters, wherein the updated dynamic parameters comprise one or more of an updated fractional kerogen volume, an updated fractional hydrocarbon volume, an updated kerogen density, an updated hydrocarbon density, and an updated fractional water volume; and
once the estimated log data is within the threshold level of match of the input log data, setting the updated dynamic parameters as the dynamic maturity-based properties;

providing, via the data processing system, the maturity-based properties in an output log, and
performing, via the data processing system and the downhole logging tool, a subsequent down hole volumetric estimation operation of the formation using the maturity-based properties associated with the formation at the plurality of desired logging depths.

2. The method of claim 1 , wherein the at least one maturity model comprises a kerogen maturity property model.

3. The method of claim 1 , wherein the kerogen maturity property model comprises a default kerogen maturity property model that is derived at least in part by:
selecting a maturity path in a Van Krevelen plot;
relating an atomic hydrogen index to a kerogen density;
relating the kerogen density to a maximal carbon fraction, using the selected maturity path; and
estimating kerogen properties based upon kerogen density, the maximal carbon fraction, or both.

4. The method of claim 1 , wherein the at least one maturity model comprises a fluid hydrocarbon property model.

5. The method of claim 1 , wherein the input log data comprises:
a bulk density;
a hydrogen index;
a nuclear magnetic resonance (NMR) total porosity;
a total organic carbon weight fraction, a water volume;
matrix properties comprising matrix density and the hydrogen index; or
any combination thereof.

6. The method of claim 5 , wherein the input log data comprises the bulk density, determined according to:
ρ b =ρ ma *ϕ ma +ϕ w ρ w *+ρ K *ϕ K +ρ hc *ϕ hc +ρ B *ϕ B ,

wherein ρb represents the bulk density, ρma represents a density of a mineral matrix, ϕma represents a fractional volume of the mineral matrix, ϕw represents a fractional volume of water, ρw represents a density of the water, ρK represents a density of kerogen, ϕK represents a fractional volume of the kerogen, ρhc represents a density of a light hydrocarbon, ϕhc represents a fractional volume of the light hydrocarbon, ρB represents a density of bitumen, and ϕB represents a fractional volume of the bitumen.

7. The method of claim 5 , wherein the input log data comprises the hydrogen index, determined according to:
HI=ϕ ma HI ma +ϕ w HI W +ϕ K HI K +ϕ hc HI hc +ϕ B HI B ,

wherein HI represents the hydrogen index, ϕma represents a fractional volume of the mineral matrix, HIma represents a hydrogen index of the mineral index, ϕw represents a fractional volume of water, HIW represents a hydrogen index of the water, ϕK represents a fractional volume of the kerogen, HIK represents the hydrogen index of the kerogen, ϕhc represents a fractional volume of light hydrocarbon, HIhc represents a hydrogen index of the light hydrocarbon, ϕB represents the fractional volume of bitumen, and HIB represents the hydrogen index of the bitumen.

8. The method of claim 5 , wherein the input log data comprises the NMR total porosity, determined according to:
MRP=ϕ w HI W +ϕ hc HI hc +λϕ B HI B ,

wherein MRP represents the NMR total porosity, ϕw represents a fractional volume of water, HIW represents a hydrogen index of the water, ϕhc resents a fractional volume of light hydrocarbon, HIhc represents a hydrogen index of the light hydrocarbon, λ represents a factor accounting for varying amounts of bitumen that may be detected by an NMR tool.

9. The method of claim 1 , comprising applying a maturity association between a fluid hydrocarbon type and kerogen.

10. The method of claim 1 , wherein the maturity inversion is performed according to a quasi Gauss-Newton minimization of the cost function, wherein the cost function comprises a quadratic cost function, and wherein the quadratic cost function comprising: a model mismatch term, a smoothing term, and a maturity association term.

11. A well-logging system, comprising:
a downhole logging tool configured to capture input log data at a plurality of vertical positions of the downhole logging tool in a borehole of a formation; and
a data processing system, comprising circuitry configured to:
obtain a log response by applying the input log data to a log response model;
apply at least one maturity model to the log response;
perform a maturity inversion using the input log data to extract maturity-based properties associated with the formation at the plurality of vertical positions from the input log data, wherein the maturity inversion is performed based on a minimization of a cost defined by dynamic parameters, wherein the maturity inversion comprises:
comparing the input log data to estimated log data derived from a model using the dynamic parameters, wherein the dynamic parameters comprise one or more of a fractional kerogen volume, a fractional hydrocarbon volume, a kerogen density, a hydrocarbon density, and a fractional water volume;
determining whether the estimated log data is within a threshold level of match of the input log data;
iteratively, while the estimated log data is not within the threshold level of match of the input log data, adjusting the dynamic parameters to generate updated dynamic parameters, wherein the updated dynamic parameters comprise one or more of an updated fractional kerogen volume, an updated fractional hydrocarbon volume, an updated kerogen density, an updated hydrocarbon density, and an updated fractional water volume; and
once the estimated log data is within the threshold level of match of the input log data, setting the updated dynamic parameters as the maturity-based properties; and
provide the maturity-based properties in an output log; and
enable a subsequent down hole volumetric estimation operation of the formation using the maturity-based properties associated with the formation at the plurality of vertical positions of the borehole.

12. The well-logging system of claim 11 , wherein the at least one maturity model comprises: a kerogen maturity property model and a fluid hydrocarbon property model.

Assignees

• Schlumberger Technology Corp

Inventors

• Mosse Laurent
• Rylander Erik
• Craddock Paul

Classifications

• G01V3/32

  operating with electron or nuclear magnetic resonance · CPC title

• G01V11/00

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

• E21B1/00

  Percussion drilling · CPC title

• E21B49/088

  combined with sampling · CPC title

• G01V99/005 Primary

  Physics · mapped topic