Cement slurry responsive to hydrocarbon gas
US-2020056084-A1 · Feb 20, 2020 · US
US11920464B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11920464-B2 |
| Application number | US-202017039054-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 30, 2020 |
| Priority date | Jan 31, 2020 |
| Publication date | Mar 5, 2024 |
| Grant date | Mar 5, 2024 |
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Temperature data collected from a distributed temperature sensing system may be used to prepare a temporal thermal profile of the wellbore. The temporal thermal profile may be used to determine a generalized heat transfer coefficient (k) and/or a generalized geothermal profile (Tae). The temporal thermal profile and the generalized heat transfer coefficient (k) and/or the generalized geothermal profile (Tae) may be used to estimate thermal properties of a wellbore, such as well as fluid and flow characteristics. A heat of hydration index may also be determined based on the temporal thermal profile.
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What is claimed is: 1. A method comprising: receiving data from a distributed temperature sensor system installed in a well bore, the data representative of a temporal thermal profile of the well bore; filtering the data in the frequency domain to generate filtered data representative of the temporal thermal profile of the well bore; determining, by one or more processors, a property or parameter associated with the well bore or well bore fluid from the filtered data based on the temporal thermal profile; applying a model based on characteristics of with the well bore or the well bore fluid associated with the property or the parameter associated with the well bore or the well bore fluid to identify a simulated property or parameter corresponding to the property or parameter associated with the well bore or well bore fluid that is identified based on the temporal thermal profile, wherein the simulated property or parameter comprises a generalized transfer coefficient (k) of a fluid within the well bore and a generalized geothermal profile (T ae), and the model is applied based on a formula comprising: T i+1 =(1 −kδt ) T i +kδtT ae wherein Ti is an initial temperature, and t is time; comparing a property or parameter to the simulated property or parameter; and identifying an unknown property or parameter associated with the well bore or well bore fluid through an inverse model based on the comparison. 2. The method of claim 1 comprising determining at least one of a generalized transfer coefficient (k) of a fluid within the well bore or a generalized geothermal profile (T ae) of the wellbore based on the temporal thermal profile. 3. The method of claim 2 , modifying a cementing operation based on the determined generalized transfer coefficient (k) of the fluid within the wellbore or the generalized geothermal profile (T ae). 4. The method of claim 1 , wherein the fluid is cement within the wellbore. 5. The method of claim 1 , wherein at least one of a generalized transfer coefficient (k) of a fluid within the well bore, or a generalized geothermal profile (Tae) of the well bore is determined based on a model comprising advection of a fluid within the well bore. 6. The method of claim 1 , wherein at least one of the generalized transfer coefficient (k) of the fluid within the well bore, or the generalized geothermal profile (T ae) of the well bore is determined based on the model that accounts for heat generated within the wellbore. 7. The method of claim 6 , wherein the heat generated within the wellbore is generated from an exothermic reaction of a cement slurry within the well bore. 8. The method of claim 1 , wherein a property or parameter associated with the wellbore comprises a property or parameter of a fluid within the wellbore or formation surrounding the wellbore. 9. The method of claim 1 , wherein a property or parameter associated with the wellbore is selected from one or more of a wellbore geometry across depth, a static fluid profile, a pumping activity, a loss circulation, heat of hydration, a heat release activity, and combinations thereof. 10. The method of claim 1 , further comprising displaying a graph comprising depth versus a value based on the generalized transfer coefficient (k). 11. The method of claim 1 , further comprising displaying a graph comprising depth versus a value based on the generalized geothermal profile (Tae). 12. The method of claim 1 , comprising determining at least one of a generalized transfer coefficient (k) of a fluid within the well bore and a starting geothermal profile (Ta) based on the temporal thermal profile of the well bore, the geothermal profile determined after introduction of a fluid into the well bore but prior to the fluid releasing exothermic reaction heat. 13. The method of claim 1 , determining the heat of hydration by comparing the measured temperature by distributed temperature sensor system with a baseline thermal response model determined based on the generalized transfer coefficient (k) of a fluid within the well bore and the starting geothermal profile (Ta). 14. The method of claim 1 , wherein the distributed temperature sensor system is a fiber optic sensor system comprising a fiber optic cable disposed in a wellbore. 15. The method of claim 14 , wherein the fiber optic sensing system operates according to one or more of a Rayleigh backscattering, Brillouin backscattering, Raman backscattering, Fiber Bragg Grating, or Enhanced or Engineered fiber based sensing principle. 16. The method of claim 1 , wherein the fiber optic cable is provided within a cement slurry in an annulus of the well bore. 17. A system comprising: one or more processors; and a non-transitory memory coupled to the one or more processors, wherein the memory comprises instruction configured to cause the processors to perform operations for: receiving data from a distributed temperature sensor system installed in a well bore, the data representative of a temporal thermal profile of the well bore; filtering the data in the frequency domain to generate filtered data representative of the temporal thermal profile of the well bore; determining a property or parameter associated with the well bore from the filtered data based on the temporal thermal profile obtained from a distributed temperature sensor system installed in a wellbore; applying a model based on characteristics associated with the well bore or the well bore fluid associated with the property or the parameter associated with the well bore or the well bore fluid to identify a simulated property or parameter corresponding to the property or parameter associated with the well bore or well bore fluid that is identified based on the temporal thermal profile, wherein the simulated property or parameter comprises a generalized transfer coefficient (k) of a fluid within the well bore and a generalized geothermal profile (T ae), and the model is applied based on a formula comprising: T i+1 =(1 −kδt ) T i +kδtT ae wherein Ti is an initial temperature, and t is time; comparing a property or parameter to the simulated property or parameter; and identifying an unknown property or parameter associated with the well bore or well bore fluid through an inverse model based on the comparison. 18. The system of claim 17 , further comprising the distributed temperature sensor system installed in a well bore, the distributed temperature sensor system comprising a fiber optic cable in the wellbore. 19. The system of claim 17 , wherein the memory comprises instruction configured to cause the processors to perform operations for determining at least one of the generalized transfer coefficient (k) of the fluid within the well bore or the generalized geothermal profile (Tae) of the well bore based on the model that accounts for heat generated within the wellbore. 20. A tangible, non-transitory, computer-readable media having instructions encoded thereon, the instructions, when executed by a processor, are operable to perform operations for: receiving data from a distributed temperature sensor system installed in a well bore, the data representative of a temporal thermal profile of the well bore; filtering the data in the frequency domain to generate filtered data representative of the temporal thermal profile of the well bore; determining a property or parameter associated with the well bore from the filtered data based on the temporal thermal profile; applying a model based on characteristics associate
Temperature · CPC title
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at discrete locations in the fibre, e.g. using Bragg scattering · CPC title
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using Raman scattering · CPC title
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