Methods and system to reduce imperceptible lab experiments

Patent metadata

Field	Value
Publication number	US-2017364607-A1
Application number	US-201615187138-A
Country	US
Kind code	A1
Filing date	Jun 20, 2016
Priority date	Jun 20, 2016
Publication date	Dec 21, 2017
Grant date	—

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; 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.

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, wherein the operational parameters comprise one or more selected from a group consisting of wellbore geometry, formation composition, 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; and outputting a final composition design.

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 validating the final composition design.

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

18 . 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.

19 . 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.

20 . 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

• C09K8/00

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

• G16C20/30

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

• 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

• C04B40/0032

  Controlling the process of mixing, e.g. adding ingredients in a quantity depending on a measured or desired value (B28C7/00 takes precedence) · CPC title

• G06F19/12

  Physics · mapped topic