Methods and system to reduce imperceptible lab experiments

Patent metadata

Field	Value
Publication number	US-11111425-B2
Application number	US-201615187138-A
Country	US
Kind code	B2
Filing date	Jun 20, 2016
Priority date	Jun 20, 2016
Publication date	Sep 7, 2021
Grant date	Sep 7, 2021

Abstract

Methods may include defining operational parameters for an initial composition design; generating an initial composition design from the defined operational parameters; predicting the performance of the initial composition design using a statistical model; comparing the performance of the initial composition design with the operational parameters; optimizing the initial composition design according to the defined operational parameters; and outputting a final composition design. Methods may also include defining operational parameters for an initial composition design for a wellbore fluid; generating an initial composition design from the defined operational parameters; predicting the performance of the initial composition design using a statistical model; comparing the performance of the initial composition design with the operational parameters; optimizing the initial composition design according to the defined operational parameters; and outputting a final composition design.

First claim

What is claimed is:

1. A method comprising:
defining operational parameters for an initial composition design based on user-specified design considerations including: well environment in which a composition will be used, including wellbore modeling parameters related to vertical stresses, horizontal stresses and permeability; operating temperature ranges; cost constraints; and transport to a wellsite;
using a three-dimensional model on a computing system having a computer processor to estimate properties of a reservoir based on obtained reservoir data;
generating an initial composition design based on the defined operational parameters and the three-dimensional model;
predicting the performance of the initial composition design using a statistical model;
comparing the performance of the initial composition design with the operational parameters;
optimizing the initial composition design according to the defined operational parameters by adding at least one of a corrosion inhibitor, a scale inhibitor, a buffering agent, a rheology modifier, a chelant, a temperature stabilizer, or a solvent so as to minimize wear on well equipment located in the well environment;
further optimizing the initial composition design by iteratively repeating the stages of predicting, comparing, and optimizing; and
outputting a final composition design suitable for use in a well.

2. The method of claim 1 , wherein the operational parameters comprise one or more selected from a group consisting of environmental variables, composition components, and pricing information.

3. The method of claim 1 , wherein the statistical model comprises historical data of laboratory results for composition components and prior composition designs.

4. The method of claim 1 , wherein the final composition design comprises usage information for the final composition design and/or pricing information.

5. The method of claim 1 , further comprising validating the final composition design.

6. The method of claim 1 , further comprising predicting the performance of the modified composition design using the statistical model.

7. The method of claim 1 , wherein the final composition design comprises one or more selected from a group consisting of composition component concentrations, order of composition component addition, pumping schedule, and reaction times.

8. The method of claim 1 , wherein optimizing comprises modifying the initial composition design to generate a modified composition design by adjusting one or more selected from a group consisting of composition component concentration, composition component cost, composition design rheology, and pumping rate.

9. The method of claim 8 , further comprising predicting the performance of the modified composition design using the statistical model.

10. The method of claim 1 , wherein the initial composition design comprises a composition that hardens to form a polymer or cement, and wherein the operational parameters comprise setting time and/or hardness.

11. A method comprising:
defining operational parameters for an initial composition design for a wellbore fluid composition, wherein the operational parameters comprise geometry of a wellbore; wellbore modeling parameters related to vertical stresses, horizontal stresses and permeability; environmental variables; composition components pricing information; and temperature;
generating an initial composition design from the defined operational parameters;
predicting the performance of the initial composition design using a statistical model;
comparing the performance of the initial composition design with the operational parameters;
optimizing the initial composition design according to the defined operational parameters so as to reduce wear and corrosion of well equipment located in the wellbore, the optimization being achieved by using modeling, based on individual fluid and solid components of the initial composition design, which incorporates optimization routines allowing input of operation specific parameters;
further optimizing the initial composition design by iteratively repeating the stages of predicting, comparing, and optimizing;
using data from a historical database to reduce errors during optimizing the initial composition design;
outputting a final composition design;
validating the final composition design at least in part by laboratory experiment; and
compiling experimental data from each laboratory experiment into the historical database.

12. The method of claim 11 , wherein the operational parameters further comprise one or more selected from a group consisting of a safe mud weight window, cementing weight, cement type, casing type, production tubing type, perforation method, and casing point locations.

13. The method of claim 11 , wherein the operational parameters comprise one or more formation properties selected from a group consisting of vertical stress, pore pressure, horizontal stresses, reservoir porosity, permeability, vertical permeability, lateral permeability, mechanical properties such as Poisson's Ratio, and Young's Modulus.

14. The method of claim 11 , wherein the statistical model comprises historical data of laboratory results for composition components and prior composition designs.

15. The method of claim 11 , wherein the final composition design comprises usage information for the final composition design and/or pricing information.

16. The method of claim 11 , further comprising updating the statistical model to contain data obtained from validating the final composition design.

17. The method of claim 11 , wherein the final composition design comprises one or more selected from a group consisting of composition component concentrations, order of composition component addition, pumping schedule, and reaction times.

18. The method of claim 11 , wherein optimizing comprises modifying the initial composition design to generate a modified composition design by adjusting one or more selected from a group consisting of composition component concentration, composition component cost, composition design rheology, and pumping rate.

19. The method of claim 11 , wherein the initial composition design comprises a composition that hardens to form a polymer or cement, and wherein the operational parameters comprise setting time and/or hardness.

Assignees

• Schlumberger Technology Corp

Inventors

• Kaushik Bhanu
• Menasria Samir

Classifications

• C09K8/42

  Compositions for cementing, e.g. for cementing casings into boreholes; Compositions for plugging, e.g. for killing wells (compositions for plastering C09K8/50) · CPC title

• G16C20/30

  Prediction of properties of chemical compounds, compositions or mixtures · CPC title

• G06N7/00

  Computing arrangements based on specific mathematical models · CPC title

• G16C60/00 Primary

  Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation · CPC title

• C09K8/00 Primary

  Compositions for drilling of boreholes or wells; Compositions for treating boreholes or wells, e.g. for completion or for remedial operations · CPC title