IP Library Granted Patent US 12,264,565
Granted Patent B2
US 12,264,565 · App. 18/077,740 · Granted Apr 1, 2025

Application of elastic fluids in hydraulic fracturing implementing a physics-based analytical tool

Inventors: Oswaldo J. Perez (Houston, TX); Francisco E. Fragachan (Katy, TX)
Assignee: Weatherford Technology Holdings, LLC
E21B43/26E21B41/00E21B43/267E21B49/00G01N11/162
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,264,565
App. No.
18/077,740
Granted
Apr 1, 2025
Kind
B2
Abstract

An integrated hydraulic fracture design model that utilizes elastic fluids with high proppant suspension and low required power for injection into a hydrocarbon-bearing, subterranean formation. The integrated physics-based approach utilizes a hybrid friction model to compute viscous and elastic behavior to estimate pressure losses at different pumping conditions coupled with a novel geomechanical model capable of modeling proppant transport with elastic fluids in planar hydraulic fractures and natural fractures. An integrated process to optimize hydraulic fracture design evaluates and quantifies the proppant-carrying capacity of elastic fluids and its impact on the proppant transport process, and low water requirements.

Claims (107)

1. A method implemented with a wellbore system having a programmable control device and a pump system to perform a wellbore operation in a wellbore in a formation, the method comprising:

obtaining, with the programmable control device, wellbore parameters characterizing the wellbore operation in the wellbore, the wellbore operation requiring use of a target fluid having at least one target parameter of a transport performance, a suspension performance, a characteristic density, a characteristic viscosity, and a friction performance;

obtaining, with the programmable control device, fluid parameters characterizing an elastic fluid for use as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter, wherein:

(i) the fluid parameters are defined by regions of elastic behavior for the elastic fluid relating shear rate relative to viscosity of the elastic fluid, the regions of elastic behavior including a viscous region defined by the Power Law and including an elastic region defined by storage modulus (G′) relative to loss modulus (G″), the regions of elastic behavior being calculated from a threshold of the shear rate at which the Power Law applies to the elastic fluid based on: a first differential equation of the viscosity with respect to shear rate:

δ

μ

δ

γ

,

 a second differential equation of a flow index (n′) of the Power Law with respect to shear rate:

δ

n

δ

γ

,

 and a third differential equation of the storage modulus (G′) with and respect to shear rate:

δ

G

δ

γ

.

 and

(ii) the fluid parameters define, according to the regions of elastic behavior, friction behavior of the elastic fluid relating fiction gradient relative to flow rate of the elastic fluid;

determining, with the programmable control device, operational parameters for using the elastic fluid as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter by modeling the wellbore operation using the elastic fluid based on the wellbore parameters and the fluid parameters;

preparing a treatment of the elastic fluid having the fluid parameters by adding an elastic fluid agent to a base fluid; and

performing, through an interface of the programmable control device with the pump system, the wellbore operation by pumping the treatment of the elastic fluid in the wellbore with the pump system according to the determined operational parameters to reach the at least one target parameter.

2. The method of claim 1 , wherein the regions of elastic behavior are defined by elastic modules determined by an oscillation test performed on the elastic fluid.

3. The method of claim 1 , wherein the friction behavior of the elastic fluid relating the fiction gradient relative to the flow rate of the elastic fluid is determined in two different friction segments, including a first of the friction segments for the viscous region defined by the Power Law, and a second of the friction segments for the elastic region defined by the storage modulus (G′) relative to the loss modulus (G″).

4. The method of claim 1 , wherein the friction behavior of the elastic fluid relating the fiction gradient relative to the flow rate of the elastic fluid is determined by: friction loop testing of the elastic fluid performed in a plurality of pipe sizes at a plurality of different ones of the flow rates; and a plurality of the friction gradient of the elastic fluid estimated at the different flow rates for the plurality of pipe sizes.

5. The method of claim 1 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein modeling the hydraulic fracturing operation using the elastic fluid based on the wellbore parameters and the fluid parameters comprises optimizing the operational parameters based on a selection of the elastic fluid, a type of the proppant, a concentration of the proppant, and a pumping rate of the elastic fluid and the proppant according to a stimulation objective.

6. The method of claim 1 , wherein the wellbore operation is a hydraulic fracturing operation; and wherein modeling the hydraulic fracturing operation using the elastic fluid based on the wellbore parameters and the fluid parameters comprises modelling based on one or more of: reservoir depth, pore pressure gradient, porosity, permeability, total organic carbon (TOC), water saturation, Young's modulus, Poisson's ratio, rock strength, cohesion, and sh-min gradient.

7. The method of claim 1 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein modeling the hydraulic fracturing operation comprises one or more of:

performing a simulation to predict hydraulic fracture propagation, fracture height growth, and natural fracture reactivation;

performing a simulation to model transport of the proppant within both main hydraulic fractures and a reactivated natural fracture network;

performing a simulation to assess embedment of the proppant and crush-fracture surface closure behavior during production; and

performing a simulation to forecast production efficiency.

8. The method of claim 1 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein performing the hydraulic fracturing operation comprises;

mixing the proppant with the treatment of the elastic fluid; and

pumping the treatment of the elastic fluid mixed with the proppant according to one or more of a pressure with the pump system, a stimulation time with the pump system, a density of the proppant, and a diameter of the proppant from the determined operational parameters.

9. The method of claim 1 , further comprising:

obtaining, with the programmable control device, field data of the elastic fluid by assessing the performance of the wellbore operation; and

updating, with the programmable control device, the fluid parameters of the elastic fluid based on the obtained field data.

10. The method of claim 9 , wherein obtaining the field data comprises collecting friction data at different rates and flow path restrictions; and wherein updating the fluid parameters comprises improving the determination of the friction behavior of the elastic fluid with the collected friction data at the different flow rates and the flow path restrictions.

11. A method implemented with a wellbore system having a programmable control device and a pump system to perform a wellbore operation in a wellbore in a formation, the method comprising:

obtaining, with the programmable control device, wellbore parameters characterizing the wellbore operation in the wellbore, the wellbore operation requiring use of a target fluid having at least one target parameter of a transport performance, a suspension performance, a characteristic density, a characteristic viscosity, and a friction performance;

obtaining, with the programmable control device, fluid parameters characterizing an elastic fluid for use as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter, wherein:

(i) the fluid parameters are defined by regions of elastic behavior for the elastic fluid relating shear rate relative to viscosity of the elastic fluid, the regions of elastic behavior including a viscous region defined by the Power Law and including an elastic region defined by storage modulus (G′) relative to loss modulus (G″), and

(ii) the fluid parameters define, according to the regions of elastic behavior, friction behavior of the elastic fluid relating fiction gradient relative to flow rate of the elastic fluid, wherein the friction behavior of the elastic fluid relating the fiction gradient relative to the flow rate of the elastic fluid is determined by: (a) experimental data points in terms of Reynolds number obtained at different shear rate stations in friction flow loop testing, wherein the Reynolds number is measured at each stabilized step; and (b) pressure losses computed with the experimental data at the different shear rate stations to produce a pressure mathematical model that correlates with pressure drop hydraulics;

determining, with the programmable control device, operational parameters for using the elastic fluid as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter by modeling the wellbore operation using the elastic fluid based on the wellbore parameters and the fluid parameters;

preparing a treatment of the elastic fluid having the fluid parameters by adding an elastic fluid agent to a base fluid; and

performing, through an interface of the programmable control device with the pump system, the wellbore operation by pumping the treatment of the elastic fluid in the wellbore with the pump system according to the determined operational parameters to reach the at least one target parameter.

12. The method recited in claim 11 , wherein the pressure losses are computed by the experimental data processed in a hydraulics model to find a best curve fit combining the Reynolds number and the shear rate for each of the stations in the region of the elastic behavior of the elastic fluid defined by the storage modulus (G′) being greater than the loss modulus (G″).

13. The method of claim 12 , wherein modeling the wellbore operation using the elastic fluid based on the wellbore parameters and the fluid parameters comprises:

modeling flow restrictions in the wellbore for the wellbore operation; and

calculating the pressure losses of the elastic fluid pumped at a pump rate through the modeled flow restrictions.

14. The method of claim 11 , wherein the friction behavior of the elastic fluid relating the fiction gradient relative to the flow rate of the elastic fluid is at least one of:

determined in two different friction segments, including a first of the friction segments for the viscous region defined by the Power Law, and a second of the friction segments for the elastic region defined by the storage modulus (G′) relative to the loss modulus (G″); and

determined by: friction loop testing of the elastic fluid performed in a plurality of pipe sizes at a plurality of different ones of the flow rates; and a plurality of the friction gradient of the elastic fluid estimated at the different flow rates for the plurality of pipe sizes.

15. The method of claim 11 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein modeling the hydraulic fracturing operation using the elastic fluid based on the wellbore parameters and the fluid parameters comprises one or more of:

optimizing the operational parameters based on a selection of the elastic fluid, a type of the proppant, a concentration of the proppant, and a pumping rate of the elastic fluid and the proppant according to a stimulation objective;

modelling based on one or more of: reservoir depth, pore pressure gradient, porosity, permeability, total organic carbon (TOC), water saturation, Young's modulus, Poisson's ratio, rock strength, cohesion, and sh-min gradient;

performing a simulation to predict hydraulic fracture propagation, fracture height growth, and natural fracture reactivation;

performing a simulation to model transport of the proppant within both main hydraulic fractures and a reactivated natural fracture network;

performing a simulation to assess embedment of the proppant and crush-fracture surface closure behavior during production; and

performing a simulation to forecast production efficiency.

16. The method of claim 11 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein performing the hydraulic fracturing operation with the elastic fluid comprises;

mixing the proppant with the treatment of the elastic fluid; and

pumping the treatment of the elastic fluid mixed with the proppant according to one or more of a pressure with the pump system, a stimulation time with the pump system, a density of the proppant, and a diameter of the proppant from the determined operational parameters.

17. The method of claim 11 , further comprising:

obtaining, with the programmable control device, field data of the elastic fluid by collecting friction data at different rates and flow path restrictions and assessing the performance of the wellbore operation from the collected friction data; and

updating, with the programmable control device, the fluid parameters of the elastic fluid based on the obtained field data by improving the determination of the friction behavior of the elastic fluid with the collected friction data at the different flow rates and the flow path restrictions.

18. A method implemented with a wellbore system having a programmable control device and a pump system to perform a wellbore operation in a wellbore in a formation, the method comprising:

obtaining, with the programmable control device, wellbore parameters characterizing the wellbore operation in the wellbore, the wellbore operation requiring use of a target fluid having at least one target parameter of a transport performance, a suspension performance, a characteristic density, a characteristic viscosity, and a friction performance;

obtaining, with the programmable control device, fluid parameters characterizing an elastic fluid for use as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter by:

(i) the fluid parameters are defined by regions of elastic behavior for the elastic fluid relating shear rate relative to viscosity of the elastic fluid, the regions of elastic behavior including a viscous region defined by the Power Law and including an elastic region defined by storage modulus (G′) relative to loss modulus (G″), and

(ii) the fluid parameters define, according to the regions of elastic behavior, friction behavior of the elastic fluid relating fiction gradient relative to flow rate of the elastic fluid, the fluid parameters of the elastic fluid being obtained from: (a) experimental data obtained of suspension performance of the elastic fluid; (b) the experimental data used in a 3D Model suspension test run up to a maximum concentration that (i) combines the experimental data with elasticity and viscosity parameters of the elastic fluid, and (ii) calibrates a particle transport model for the elastic fluid with numerical simulations for particle settling based on coupled Computational Fluid Dynamics (CFD) and Discrete Element Methods (DEMs); and (c) a particle-carrying capacity quantified for transport performance of the elastic fluid based on the particle transport model for the elastic fluid;

determining, with the programmable control device, operational parameters for using the elastic fluid as the target fluid in the wellbore operation in the wellbore to achieve the at least one target parameter by modeling the wellbore operation using the elastic fluid based on the wellbore parameters and the fluid parameters;

preparing a treatment of the elastic fluid having the fluid parameters by adding an elastic fluid agent to a base fluid; and

performing, through an interface of the programmable control device with the pump system, the wellbore operation by pumping the treatment of the elastic fluid in the wellbore with the pump system according to the determined operational parameters to reach the at least one target parameter.

19. The method of claim 18 , wherein the particle-carrying capacity of the elastic fluid is quantified with respect to density of the elastic fluid by performing numeric analysis.

20. The method of claim 18 , wherein the particle-carrying capacity of the elastic fluid is quantified with respect to various types and concentrations of particles by performing numeric analysis.

21. The method of claim 18 , wherein the friction behavior of the elastic fluid relating the fiction gradient relative to the flow rate of the elastic fluid is at least one of:

determined in two different friction segments, including a first of the friction segments for the viscous region defined by the Power Law, and a second of the friction segments for the elastic region defined by the storage modulus (G′) relative to the loss modulus (G″); and

determined by: friction loop testing of the elastic fluid performed in a plurality of pipe sizes at a plurality of different ones of the flow rates; and a plurality of the friction gradient of the elastic fluid estimated at the different flow rates for the plurality of pipe sizes.

22. The method of claim 18 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and wherein modeling the hydraulic fracturing operation using the elastic fluid based on the wellbore parameters and the fluid parameters comprises one or more of:

optimizing the operational parameters based on a selection of the elastic fluid, a type of the proppant, a concentration of the proppant, and a pumping rate of the elastic fluid and the proppant according to a stimulation objective;

modelling based on one or more of: reservoir depth, pore pressure gradient, porosity, permeability, total organic carbon (TOC), water saturation, Young's modulus, Poisson's ratio, rock strength, cohesion, and sh-min gradient;

performing a simulation to predict hydraulic fracture propagation, fracture height growth, and natural fracture reactivation;

performing a simulation to model transport of the proppant within both main hydraulic fractures and a reactivated natural fracture network;

performing a simulation to assess embedment of the proppant and crush-fracture surface closure behavior during production; and

performing a simulation to forecast production efficiency.

23. The method of claim 18 , wherein the wellbore operation is a hydraulic fracturing operation using the elastic fluid and proppant; and

wherein performing the hydraulic fracturing operation with the elastic fluid comprises pumping the elastic fluid and the proppant according one or more of a pressure, a stimulation time, a density of the proppant, and a diameter of the proppant from the determined operational parameters.

24. The method of claim 18 , further comprising:

obtaining, with the programmable control device, field data of the elastic fluid by collecting friction data at different rates and flow path restrictions and assessing the performance of the wellbore operation from the collected friction data; and

updating, with the programmable control device, the fluid parameters of the elastic fluid based on the obtained field data by improving the determination of the friction behavior of the elastic fluid with the collected friction data at the different flow rates and the flow path restrictions.

25. A programmable storage device having program instructions stored thereon for causing a programmable control device to perform a method according to claim 1 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 15, 2023
From: PEREZ, OSWALDO J.; FRAGACHAN, FRANCISCO E.
To: WEATHERFORD TECHNOLOGY HOLDINGS, LLC
Reel/Frame 063334/0986 →
Continuity (3)
Continuation 16539645 · Aug 13, 2019
Provisional Application 62875293 · Jul 17, 2019
Related Publication 20230235652A1 · Jul 27, 2023
References Cited (49)
US 2798053A · Brown · 1957 [cited by applicant]
US 3058909A · Kern · 1962 [cited by applicant]
US 3163219A · Wyant et al. · 1964 [cited by applicant]
US 4821564A · Pearson · 1989 [cited by examiner]
US 4821654A · Becker et al. · 1989 [cited by applicant]
US 7271133B2 · Weaver et al. · 2007 [cited by applicant]
US 7708069B2 · Watters et al. · 2010 [cited by applicant]
US 8114818B2 · Reddy et al. · 2012 [cited by applicant]
US 8501983B2 · Yang et al. · 2013 [cited by applicant]
US 8950493B2 · van Petegem et al. · 2015 [cited by applicant]
US 9085975B2 · Abad · 2015 [cited by applicant]
US 9328285B2 · Ekstrand et al. · 2016 [cited by applicant]
US 9410399B2 · Andersen · 2016 [cited by applicant]
US 20020065359A1 · Allan et al. · 2002 [cited by applicant]
US 20060283591A1 · Willberg et al. · 2006 [cited by applicant]
US 20080093073A1 · Bustos et al. · 2008 [cited by applicant]
US 20100224365A1 · Abad · 2010 [cited by examiner]
US 20110223125A1 · Hough et al. · 2011 [cited by applicant]
US 20110272159A1 · Osiptsov et al. · 2011 [cited by applicant]
US 20120273206A1 · Zamora et al. · 2012 [cited by applicant]
US 20130041587A1 · Gomaa · 2013 [cited by examiner]
US 20130189198A1 · Tamareselvy · 2013 [cited by applicant]
US 20140014348A1 · Mahoney et al. · 2014 [cited by applicant]
US 20140178325A1 · Martinez-Castro et al. · 2014 [cited by applicant]
US 20140251610A1 · Brannon et al. · 2014 [cited by applicant]
US 20140365409A1 · Burch et al. · 2014 [cited by applicant]
US 20150252250A1 · Levey et al. · 2015 [cited by applicant]
US 20170029692A1 · Dugonjic-Bilic et al. · 2017 [cited by applicant]
US 20170370197A1 · Han · 2017 [cited by examiner]
US 20180094514A1 · Leem et al. · 2018 [cited by applicant]
US 20180155615A1 · Rahy · 2018 [cited by examiner]
US 20180346802A1 · Noles, Jr. · 2018 [cited by examiner]
US 20190040305A1 · Ruyle et al. · 2019 [cited by applicant]
US 20190119563A1 · He et al. · 2019 [cited by applicant]
US 20190292884A1 · McClure · 2019 [cited by examiner]
WO 2015042028A1 · 2015 [cited by applicant]
WO 2015125121A1 · 2015 [cited by applicant]
WO 2016079625A1 · 2016 [cited by applicant]
Final Office Action in co-pending U.S. Appl. No. 16/628,234 mailed Mar. 11, 2021, 14-pages. [cited by applicant]
Final Office Action in co-pending U.S. Appl. No. 16/628,234 mailed May 20, 2022, 18-pages. [cited by applicant]
International Search Report based on copending PCT Application No. PCT/US18/43295 dated Nov. 20, 2018, 12 pages. [cited by applicant]
International Search Report issued in co-pending PCT Application No. PCT/US2020/038065, dated Sep. 14, 2020, 12 pages. [cited by applicant]
Office Action in co-pending U.S. Appl. No. 16/628,234 mailed Nov. 9, 2020, 14-pages. [cited by applicant]
Office Action in co-pending U.S. Appl. No. 16/628,234 mailed Oct. 13, 2021, 18-pages. [cited by applicant]
Office Action in U.S. Appl. No. 15/666,327, mailed Oct. 16, 2018, 11-pgs. [cited by applicant]
Office Action issued in co-pending Russian Application No. 2020108457, dated Sep. 30, 2020, 14 pages. [cited by applicant]
Restriction Requirement in U.S. Appl. No. 15/666,327, mailed May 14, 2018, 7-pgs. [cited by applicant]
Office Action in counterpart Colombian Appl. NC2021/0017781, dated Jun. 30, 2023, 14-pgs. [cited by applicant]
Substantive Examination Report in counterpart Saudi Arabian Appl. 522431391, dated May 24, 2023, 10-pgs. [cited by applicant]