Barycentric Interpolation for Wellbore Fluid Property Prediction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for designing well bore treatment fluids are labor-intensive and require extensive testing to predict properties like rheology, leading to increased costs and reduced efficiency in subterranean operations.

Innovation Solution

The use of Barycentric interpolation to develop models that predict properties of well bore treatment fluids, allowing for the design of fluids with optimized rheology and reduced laboratory testing, thereby saving time and costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If extensive laboratory testing is used to predict fluid properties, then measurement precision is improved, but loss of time and productivity deteriorate

Engineering Contradiction:
Improvefluid property prediction accuracyVSAvoidlaboratory testing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by developing prediction models using historical fluid formulation data and laboratory test results before actual fluid design. The system pre-processes and stores relationships between fluid compositions and their properties (rheology, fluid loss, gel strength, etc.) in a database, enabling rapid prediction without repeating extensive laboratory testing for each new fluid formulation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating virtual representations of fluid formulations and their properties through computational models. Instead of physically testing each fluid formulation, the system copies existing formulation-data relationships from the database to predict properties of new formulations, significantly reducing the need for physical laboratory testing while maintaining prediction accuracy.

Inventive Principle:
Principle #26Copying

2Manufacturing precision

If extensive laboratory testing is conducted to determine fluid properties, then manufacturing precision is improved, but productivity deteriorates

Engineering Contradiction:
Improvefluid formulation accuracyVSAvoidfluid design efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The patent replaces the mechanical system of physical laboratory testing with an information-based computational system. The prediction model uses computer algorithms to calculate fluid properties based on composition data, substituting physical experimentation with computational analysis. This substitution maintains formulation accuracy while dramatically improving design productivity and reducing laboratory resource requirements.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent applies parameter changes by transforming the fluid design process from physical experimentation to computational parameter analysis. The system varies composition parameters (chemical additives, concentrations, ratios) in the prediction model to optimize fluid properties, replacing physical formulation adjustments with computational parameter optimization. This enables rapid evaluation of multiple formulations without proportional increases in laboratory testing.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If traditional fluid design methods are used, then reliability is maintained, but loss of time increases

Engineering Contradiction:
Improvefluid performance reliabilityVSAvoidrig time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements feedback by using actual laboratory test results and field performance data to continuously refine and update the prediction model. The system incorporates feedback loops where new formulation-test data pairs are added to the database, improving the accuracy and reliability of predictions over time. This feedback mechanism ensures that the computational model remains aligned with actual fluid behavior while reducing overall testing time through more accurate initial predictions.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10253626B2Predicting properties of well bore treatment fluids
Publication Date: 2019.04.09 HALLIBURTON ENERGY SERVICES INC
  • US10253626B2 patent drawing
  • US10253626B2 patent drawing
  • US10253626B2 patent drawing

AI summary

Methods and systems for predicting properties of well bore treatment fluids are disclosed. An embodiment includes a method of predicting fluid properties comprising: determining an operational window for a well bore fluid system; collecting data at vertices of the operational window; and developing a model comprising predicted properties for a plurality of data points within the operational window, wherein developing the model uses Barycentric interpolation.