Methods of characterizing earth formations using physiochemical model

US10329903B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10329903-B2
Application numberUS-201314777131-A
CountryUS
Kind codeB2
Filing dateOct 4, 2013
Priority dateMar 15, 2013
Publication dateJun 25, 2019
Grant dateJun 25, 2019

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Abstract

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Embodiments include constructing a reservoir model of an earth formation. The method may also include selecting a predetermined set of fundamental parameters to describe the earth formation and assigning initial values for the predetermined set of fundamental parameters for each of the plurality of layers. The method may include using the initial values for each of the plurality of layers. The method may include computing physical-response-relevant properties as a function of space and time for each of the plurality of layers using the solutions and then computing tool responses using the physical-response-relevant properties. The method may include installing an electrode array between an insulation portion of a metal casing provided in a borehole and a physical formation and obtaining formation measurement information from the electrode array, comparing the formation measurement information to the computed tool response to obtain an error signal and modifying the initial values in an iterative process.

First claim

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What is claimed is: 1. A method of characterizing an earth formation, comprising: a) constructing a reservoir model of the earth formation from data obtained from a plurality of sources, the reservoir model including a plurality of layers; b) selecting a predetermined set of fundamental parameters to describe the earth formation, including porosity (ϕ), pore-to-throat size ratio (α), cation-exchange capacity (Qv), and a mineral array (M); c) assigning initial values for the predetermined set of fundamental parameters for each of the plurality of layers; d) using the initial values for each of the plurality of layers, solving partial differential equations of transport to obtain solutions for a plurality of field variables of the earth formation as a function of space and time for each of the plurality of layers; e) computing physical-response-relevant properties as a function of space and time for each of the plurality of layers using the solutions; f) computing tool responses using the physical-response-relevant properties; g) installing an electrode array between an insulation portion of a metal casing provided in a borehole and a physical formation and obtaining formation measurement information from the electrode array, wherein the borehole is a partly conductive fluid-filled borehole; h) comparing the formation measurement information to the computed tool response to obtain an error signal; i) modifying the initial values in an iterative process utilizing the error signal and repeating d) with modified values e), f), g), h), and i) in a multidimensional search until the error signal is deemed acceptable, thereby characterizing the earth formation. 2. The method according to claim 1 , wherein the field variables include pressure, saturation, temperature, and fluid composition. 3. The method according to claim 2 , wherein the physical response-relevant properties include an electrically-based property, a density-based property, an acoustically-based property, and a nuclear-based property. 4. The method according to claim 3 , wherein the electrically-based property comprises conductivity, the acoustically-based property comprises p-wave velocity, and the nuclear-based property comprises capture cross-section. 5. The method according to claim 1 , wherein the data obtained from a source comprises a of a plurality of open-hole logs and seismic tests, and the constructing a reservoir model of the earth formation from data obtained from a source and the assigning initial values comprises choosing a minimum number of layers for the reservoir model, filtering high frequency noise from the data, from the filtered data, identifying inflection points indicating a plurality of layer boundaries, ranking the inflection points according to magnitude, optimizing the position of the minimum number of layers and their property values, and increasing the number of layers by one, and repeating optimizing a plurality of times. 6. The method according to claim 5 , wherein the plurality of times comprises repeating until error improvement in the optimization is deemed marginal. 7. The method according to claim 1 , wherein the assigning initial values comprises using the data obtained from a source to provide approximations of at least some of the fundamental parameters using an underlying petrophysical model. 8. The method according to claim 1 , wherein the assigning initial values comprises selecting a value from a predetermined range for a fundamental parameter of the fundamental parameters. 9. The method according to claim 1 , wherein the fundamental parameters further include residual water (S wr , maximum residual oil saturation (S nrm ), cementation exponent (m), saturation exponent (n), Corey exponent (λ BC ), and pore aspect ratio (η). 10. The method according to claim 9 , wherein the field variables include pressure, saturation, temperature, and fluid composition, and the physical response-relevant properties include an electrically-based property, a density-based property, a acoustically-based property, and a nuclear-based property. 11. The method according to claim 10 , further comprising determining values for predetermined set of fundamental parameters for the plurality of layers of the formation from the modifying, and displaying the determined values for the predetermined set of fundamental parameters. 12. The method according to claim 11 , wherein the displaying comprises presenting the values for a of the predetermined set of fundamental parameters as a depth or azimuth log. 13. The method according to claim 10 , further comprising determining values for the plurality of field variables from the modifying, and displaying the determined values for a of the plurality of field variables. 14. The method according to claim 13 , wherein the displaying comprises presenting the determined values of the plurality of field variables as a depth or azimuth log. 15. The method according to claim 1 , further comprising using the characterization of the earth formation to predict how the earth formation will respond to disturbances or stimuli, and displaying a prediction. 16. The method according to claim 15 , wherein the disturbances or stimuli include fluid injection for production of hydrocarbons, carbon-dioxide injection for sequestration, current injection for characterization of the earth formation, or a combination thereof. 17. The method according to claim 9 , wherein the fundamental parameters further include permeability (k) and a of a dimensionless form of entry capillary pressure (J b ) and a proportionality constant {tilde over (C)}. 18. The method according to claim 1 , wherein the fundamental parameters further include a volume exponent (υ), coordination number (z c ), T2 distribution (g T 2 (T 2 ), and NMR surface relaxivity (ρ r ). 19. The method according to claim 18 , wherein the fundamental parameters further include a pore aspect ratio (η). 20. A method of characterizing an earth formation, comprising: a) constructing a reservoir model of the earth formation from data obtained from a plurality of sources, the reservoir model including a plurality of layers; b) selecting a predetermined set of fundamental parameters to describe the earth formation, including porosity (ϕ), pore-to-throat size ratio (α), cation-exchange capacity (Q v ), a mineral array (M), residual water (S wr ), maximum residual oil saturation (S nrm ), cementation exponent (m), saturation exponent (n), Corey exponent (λ BC ), and pore aspect ratio (η); c) assigning initial values for the predetermined set of fundamental parameters for each of the plurality of layers; d) using the initial values for each of the plurality of layers, solving partial differential equations of transport to obtain solutions for a plurality of field variables of the earth formation including pressure, saturation, temperature, and fluid composition as a function of space and time for each of the plurality of layers; e) computing physical-response-relevant properties as a function of space and time for each of the plurality of layers using the solutions; f) computing tool responses using the physical-response-relevant properties including a electrically-based property, a density-based property, a acoustically-based property, and a nuclear-based property; g) installing an electrode array between an insulation portion of a metal casing provided in a borehole and a physical formation and obtaining formation measurement information from the electrode ar

Assignees

Inventors

Classifications

  • Reservoir parameters · CPC title

  • G01V1/50Primary

    Analysing data · CPC title

  • Processing data, e.g. for analysis, for interpretation, for correction · CPC title

  • Analysis (G01V1/50 takes precedence) · CPC title

  • operating with electron or nuclear magnetic resonance · CPC title

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What does patent US10329903B2 cover?
Embodiments include constructing a reservoir model of an earth formation. The method may also include selecting a predetermined set of fundamental parameters to describe the earth formation and assigning initial values for the predetermined set of fundamental parameters for each of the plurality of layers. The method may include using the initial values for each of the plurality of layers. The …
Who is the assignee on this patent?
Schlumberger Technology Corp
What technology area does this patent fall under?
Primary CPC classification G01V1/50. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 25 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).