Wellbore Cuttings Bed Control for Real-Time Hole Cleaning
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Solution Overview
Problem
The transport of drilling cuttings in inclined well sections with small boreholes is inefficient, leading to cuttings bed formation that causes increased torque, drag, stuck pipes, and other drilling inefficiencies, resulting in lost time and nonproductive time.
Innovation Solution
A method to predict and alter the characteristics of the cuttings bed in real-time using an information handling system, analyzing drilling cuttings and adjusting operational parameters such as drill string RPM, flow rates, and fluid rheology to optimize hole cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drilling fluid flow rate is increased to improve cuttings transport, then cuttings bed formation is reduced, but energy consumption and equipment wear increase
Solution Approach 1:
The system dynamically adjusts drilling fluid flow rate, drill string RPM, and other operational parameters in real-time based on measured cuttings bed characteristics, optimizing cuttings transport efficiency while minimizing energy consumption and equipment wear
Solution Approach 2:
The system uses real-time measurements of cuttings bed characteristics (thickness, density, composition) to provide feedback that automatically adjusts drilling parameters, creating a closed-loop control system that optimizes cuttings transport without excessive energy input
2Productivity
If drill string RPM is increased to improve hole cleaning, then cuttings bed is disrupted and transported more effectively, but torque and mechanical stress increase
Solution Approach 1:
The system dynamically adjusts drill string RPM based on real-time cuttings bed conditions, increasing rotation speed when cuttings bed disruption is needed for hole cleaning, while automatically reducing speed when torque limits are approached, optimizing the balance between cleaning efficiency and mechanical stress
Solution Approach 2:
The system changes operational parameters including drill string RPM and flow rate based on measured cuttings bed characteristics, optimizing hole cleaning effectiveness while controlling torque and mechanical stress within safe operating limits
3Productivity
If real-time monitoring and parameter adjustment systems are implemented to optimize cuttings transport, then drilling efficiency improves, but system complexity and initial costs increase
Solution Approach 1:
The system uses downhole measurements of cuttings bed characteristics to automatically adjust drilling parameters without requiring complex surface-based decision-making systems, allowing the drilling system to self-optimize based on real-time conditions
Solution Approach 2:
The system replaces complex mechanical control systems with electronic sensors and computational algorithms that measure cuttings bed characteristics and automatically adjust drilling parameters, reducing mechanical complexity while improving control precision
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 allows for efficient cuttings transport and hole cleaning, reducing torque, drag, and other drilling inefficiencies, thereby minimizing lost time and improving drilling efficiency.
Implementation Method 1
drilling fluid circulates through the pipe and out of the drill bit into the wellbore. The drilling cuttings are removed from the wellbore by the circulating drilling fluid
Implementation Method 2
Drilling cuttings are easily accumulated in the inclined well section due to gravity and form a cuttings bed ultimately
Implementation Method 3
a rotary turntable drill, and a circulation system that circulates drilling fluid... as the drill bit loosens them from the surrounding rock during drilling
Data Source
AI summary
Disclosed herein are methods and systems to predict and alter the characteristics of cuttings bed in a wellbore in real time or ahead of time during planning to avoid the consequences of poor hole cleaning, i.e., high torque and drag, stuck drills, broken drill tools, lost circulation, low rates of penetration, and any related delays in the drilling schedule. The methods may include collecting drilling cuttings from drilling a wellbore penetrating a subterranean formation, analyzing the drilling cuttings, predicting characteristics of cuttings bed based at least in part on the drilling cuttings, predicting the effects of the characteristics of the cuttings bed on hole cleaning, changing at least one parameter controlling drilling operation when the hole cleaning is impaired by the effects of the characteristics of the cuttings bed, and predicting an impact of the change of the at least one parameter on the characteristics of the cuttings bed.


