Smart Polymer pH Sensing in Drilling Fluids

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Solution Overview

Problem

Current drilling fluid pH measurement techniques are intermittent and unreliable, failing to provide real-time data necessary for effective well control and fluid management, leading to issues like drill pipe corrosion and loss of circulation.

Innovation Solution

The use of smart polymers inserted into drilling fluids that change properties in response to hydrogen ion concentrations, captured by cameras and analyzed using image processing and machine-learning models to estimate pH levels in real-time, allowing for continuous monitoring and adjustments to drilling parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional pH measurement techniques are used in drilling operations, then equipment simplicity is maintained, but measurement continuity and reliability deteriorate due to intermittent and unreliable measurements

Engineering Contradiction:
ImprovepH measurement reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces smart polymers as intermediary substances that are pumped into the drilling fluid. These polymers act as mediators between the pH environment and the detection system, changing their properties in response to pH variations. The polymers carry pH information back to the surface where cameras capture their state, enabling indirect but continuous pH measurement without requiring complex in-situ sensors at the drill bit.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces traditional mechanical/electronic pH sensing systems with a biochemical approach using smart polymers. Instead of using electrodes or optical sensors directly in the drilling fluid, the system uses polymer conformational changes driven by hydrogen ion concentrations. This substitution allows for continuous monitoring while reducing the complexity of downhole equipment.

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

2Productivity

If intermittent pH measurements are performed, then system complexity is reduced, but real-time monitoring capability and safety deteriorate

Engineering Contradiction:
Improvereal-time monitoring capabilityVSAvoidcontinuous monitoring system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements continuous pH monitoring by pumping smart polymers continuously or periodically into the drilling fluid flow. The polymers remain in the fluid stream, reacting continuously with hydrogen ions. Cameras at the surface capture the polymer state continuously, providing uninterrupted real-time pH data without requiring complex automated control systems at the drill bit.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system establishes a feedback loop where pH information is continuously retrieved from the drilling fluid via smart polymers, transmitted to the surface, processed by cameras and computers, and used to adjust drilling operations. This feedback mechanism enables real-time response to pH changes while keeping the monitoring system relatively simple through distributed measurement points.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If smart polymer monitoring is implemented, then measurement precision and continuity are improved, but cost and operational complexity increase

Engineering Contradiction:
ImprovepH measurement precisionVSAvoidoperational simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The smart polymers are self-responsive to pH conditions, automatically changing their conformational state in response to hydrogen ion concentrations without requiring external energy input or control systems. The polymers self-indicate their pH exposure state through visible conformational changes, eliminating the need for complex power supplies, sensors, or electronic processing at the drill bit, thus maintaining operational simplicity while achieving high measurement precision.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables continuous, accurate pH monitoring, preventing drill pipe corrosion and identifying influxes, thereby enhancing drilling fluid management and reducing the risk of well control incidents.

Implementation Method 1

Units of smart polymers with per-hydrogen (pH) sensitivity are inserted by a monitoring system into drilling fluid pumped into a well during a drilling operation. The smart polymers are configured to be triggered by hydrogen ion concentrations.

Methodology Applied
Scientific EffectpH sensitivity:

Data Source

PatentUS20240301792A1Measuring drilling fluid PH with smart polymers
Publication Date: 2024.09.12 SAUDI ARABIAN OIL CO
  • US20240301792A1 patent drawing
  • US20240301792A1 patent drawing
  • US20240301792A1 patent drawing

AI summary

Systems and methods include techniques for using smart polymers. Units of smart polymers with per-hydrogen (pH) sensitivity are inserted into drilling fluid pumped into a well during drilling. The smart polymers are configured to be triggered by hydrogen ion concentrations. An insertion timestamp associated with each unit is stored and indicates a time that each unit was inserted. Continuous images and observed characteristics of returning mud exiting through an annulus of the well and containing the units of smart polymer are captured by a camera positioned at a sensing location and linked to the monitoring system. An estimate of pH values at a drill bit of the drilling operation is determined using the continuous images, observed characteristics, and insertion timestamps, and based at least in part on executing image processing algorithms, machine-learning models, and deep-learning models. Changes to be made to drilling parameters are suggested.