Method of optimizing the design, stimulation and evaluation of matrix treatment in a reservoir

• US 20020153137A1
• Filed: 02/14/2002
• Published: 10/24/2002
• Est. Priority Date: 02/16/2001
• Status: Active Grant

• Current Assignee: Schlumberger Technology Corporation (Schlumberger NV)
• Original Assignee: Schlumberger Technology Corporation (Schlumberger NV)
• Inventors: Ziauddin, Murtazza, Robert, Joel
• Granted Patent: US 6,668,922 B2
• Time in Patent Office: Days
• US Class Current: 166/250.01
• CPC Class Codes: A61L 2/20 Gaseous substances, e.g. vapours
• CPC Class Codes: B65B 55/025 Packaging in aseptic tunnels
• CPC Class Codes: B65B 55/10 by liquids or gases
• CPC Class Codes: B67C 7/0073 Sterilising, aseptic filling and closing B67C3/2642 takes precedence
• CPC Class Codes: E21B 43/25 Methods for stimulating production by vibrating earth formations E21B43/003

Abstract

A method for designing acid treatments provides for the selection of optimal treatment for well stimulation wherein reservoir characteristics are obtained to further select the reaction kinetic data on the minerals of interests, the treatment to the reservoir is scaled up using a mathematical model and real time damage are computed based on bottomhole pressure and injection rate and compared to that predicted by the mathematical model to adjust the treatment. The model generated facilitates optimization of matrix treatments by providing a rapid quantitative evaluation of various treatment strategies for a formation. Stimulation with non-traditional fluid recipes containing mixtures of inorganic and organic acids, and chelating agents can be readily computed. The computed values can then be used in an economic model to justify the additional costs associated with the use of the non-traditional fluids. Apart from optimizing matrix treatments, the method can be used as a development tool for new fluid systems, as a tool for prediction and removal of inorganic scale and for fluid compatibility testing such as that required in water flooding projects.

Claims

1. A method for modeling a stimulation treatment for a reservoir, comprising the steps of:

obtaining a set of quantified reservoir parameters including the reservoir minerals;

designing a first treatment fluid comprising a mixture of chemical species;

obtaining a first set of chemical reactions that can occur between the minerals and the component of the treatment fluid;

said reactions defined by their equilibrium and their kinetic properties;

selecting a subset of said first set of chemical reactions to create a reaction model of said minerals with said treatment fluid and predict damages consecutive of the treatment; and

iteratively adjusting the stimulation treatment to optimize results.

2. The method of claim 1, wherein the quantified reservoir parameters include an estimate of the quantity and depth of damage to reservoir.

3. The method of claim 2, wherein the damage data includes scales.

4. The method of claim 2, wherein the damage data includes fine migration.

5. The method of claim 2, wherein the damage data are estimated from nodal analysis and mud and resistivity log data.

6. The method of claim 1, wherein the iterative step includes performing a sensitivity analysis to optimize the variables for selecting an optimum treatment design.

7. The method of claim 1, wherein the set of quantified reservoir parameters includes permeability.

8. The method of claim 7, further including a step of modeling a core test for at least one injection rate of fluid treatment, assuming a linear flow.

9. The method of claim 8, wherein the treatment includes pumping a sequence of successive fluid treatments at specific rates.

10. The method of claim 9, wherein the step of iteratively adjusting the stimulation treatment includes the step of adjusting the pumping sequence.

11. A method for modeling a stimulation treatment for a reservoir, comprising the steps of:

obtaining a set of quantified reservoir parameters including the reservoir minerals, permeability and the quantity and depth of damage to the reservoir;

modeling a reservoir core having a length and a diameter;

designing a first treatment fluid comprising a mixture of chemical species;

obtaining a first set of chemical reactions that can occur between the minerals and the component of the treatment fluid;

said reactions defined by their equilibrium and their kinetic properties;

selecting an injection rate of the treatment fluid;

selecting a subset of said first set of chemical reactions to create a reaction model of sail core with said treatment fluid and predict damages consecutive of the treatment; and

iteratively adjusting the stimulation treatment to optimize results.

12. The method of claim 11, wherein the reaction model of said core assumes a linear flow of the treatment fluid along the core.

13. The method of claim 11, wherein the reaction model of said core includes effluent analysis and permeability evolution.

14. The method of claim 11, wherein said set of quantified reservoir parameters includes porosity and said remain model includes porosity evolution.

16. The method of claim 14, wherein the damage data are estimated from nodal analysis and mud and resistivity log data.

17. The method of claim 14, wherein the iterative step includes performing a sensitivity analysis to optimize the variables for selecting an optimum treatment design.

18. The method of claim 14, wherein the reaction model assumes a radial flow of the treatment fluid.

19. The method of claim 14, wherein the reaction model of said reservoir includes effluent analysis and permeability evolution.

20. The method of claim 14, wherein the models comprises both aqueous species and minerals, and wherein the assumption G_{i, Pr, Tr}⁰=G_{i, P, Tr}⁰ is used, and wherein the chemical species is available in equilibrium constant form, μ

_i⁰ (T, P) for the specie can be calculated from the following thermodynamic identity;

21. The method of claim 19, wherein once the μ

_i⁰ (T, P) for the aqueous species i is computed at stimulation temperature and pressure, the chemical potential of the aqueous specie in solution is then computed internally in the simulator from the following equation;

μ

_i(T, P, {right arrow over (m)})=μ

_i⁰(T, P)+RTlnγ

_i(T, P, {right arrow over (m)})m

15. A method for modeling a stimulation treatment for a reservoir, comprising the steps of:

obtaining a set of quantified reservoir parameters including the reservoir minerals, permeability and the quantity and depth of damage to the reservoir;

designing a first treatment fluid comprising a mixture of chemical species;

obtaining a first set of chemical reactions that can occur between the minerals and the component of the treatment fluid;

said reactions defined by their equilibrium and their kinetic properties;

selecting an injection rate of the treatment fluid;

selecting a subset of said first set of chemical reactions to create a reaction model of said reservoir with said treatment fluid and predict damages consecutive of the treatment; and

iteratively adjusting the stimulation treatment to optimize results.

22. A method for performing a stimulation treatment for a reservoir, comprising the steps of:

obtaining a set of quantified reservoir parameters including the reservoir minerals, permeability and the quantity and depth of damage to the reservoir;

designing a first treatment fluid comprising a mixture of chemical species;

obtaining a first set of chemical reactions that can occur between the minerals and the component of the treatment fluid;

said reactions defined by their equilibrium and their kinetic properties and therefore creating a mathematical model of the treatment;

selecting an injection rate of the first treatment fluid;

selecting a subset of said first set of chemical reactions to create a reaction model of said reservoir with said treatment fluid and predict damages consecutive of the treatment;

pumping said first treatment fluid at a first injection rate while measuring the bottomhole pressure;

computing real-time damages to the reservoir from the measured bottomhole pressure and injection rate;

simultaneously computing the damages based on the mathematical model; and

adjusting the stimulation treatment to optimize results.

23. A method for designing a stimulation treatment fluid for a reservoir, comprising the steps of:

obtaining a set of quantified reservoir parameters including the reservoir minerals;

designing a first treatment fluid comprising a mixture of chemical species;

obtaining a first set of chemical reactions that can occur between the minerals and the component of the treatment fluid;

said reactions defined by their equilibrium ad their kinetic properties and therefore creating a mathematical model of the treatment;

selecting a subset of said first set of chemical reactions to create a reaction model of said reservoir minerals with said treatment fluid and predict damages consecutive of the treatment;

iteratively adjusting the stimulation treatment to optimize results; and

performing laboratory experiments on the optimized stimulation treatments thereby reducing the number of experiments required for designing a new treatment.