Offshore Drilling Kick Detection Using Heave Motion Compensation

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Solution Overview

Problem

Offshore drilling operations face challenges in accurately detecting kicks and losses due to annulus outflow fluctuations caused by wave motion, leading to false alarms and increased fatigue for rig personnel.

Innovation Solution

A system that includes sensors and a computing device to model annular flow, using state observers and linear quadratic estimation filters to adjust alarm thresholds in real-time, accounting for heave motion and providing confidence levels to improve the accuracy of kick and loss detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real-time monitoring of kick and loss is implemented in offshore drilling, then detection capability is improved, but false alarms increase due to wave-induced annulus outflow fluctuations

Engineering Contradiction:
Improvekick and loss detection accuracyVSAvoidalarm reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent introduces an intermediary computational model that processes the relationship between annulus outflow and rig heave motion. This intermediary layer filters out the false alarm signals caused by wave-induced fluctuations while preserving genuine kick and loss detection capabilities, thereby resolving the contradiction between detection sensitivity and alarm reliability.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent dynamically adjusts alarm thresholds based on real-time rig heave parameters and annulus outflow conditions. By changing the alarm parameters adaptively according to wave conditions, the system maintains high detection accuracy while reducing false alarms triggered by normal heave-induced flow fluctuations.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If fixed alarm thresholds are used for kick and loss detection, then system complexity is reduced, but detection accuracy deteriorates under varying wave conditions

Engineering Contradiction:
Improvealarm system complexityVSAvoidkick and loss detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent transforms the static alarm threshold into a dynamic parameter that adapts to changing sea conditions. The alarm threshold is continuously adjusted based on real-time rig heave motion data and annulus outflow measurements, enabling the simple alarm system to maintain high detection accuracy across varying wave conditions without increasing operational complexity.

Inventive Principle:
Principle #15Dynamics

3Reliability

If annulus outflow fluctuations caused by wave motion are compensated for, then false alarms are reduced, but computational requirements increase

Engineering Contradiction:
Improvealarm reliabilityVSAvoidcomputational system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent pre-establishes the mathematical relationship between rig heave motion and annulus outflow fluctuations through computational modeling. By pre-calculating the expected flow variations due to wave-induced heave, the system can quickly compensate for these fluctuations during real-time operation without requiring complex on-the-fly computations, thus reducing false alarms while maintaining manageable computational requirements.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20210180418A1Prospective kick loss detection for off-shore drilling
Publication Date: 2021.06.17 HALLIBURTON ENERGY SERVICES INC
  • US20210180418A1 patent drawing
  • US20210180418A1 patent drawing
  • US20210180418A1 patent drawing

AI summary

Certain aspects and features relate to a system that monitors for kick and lost circulation in the riser string of an offshore drilling rig. The system compensates for annulus outflow fluctuation induced by wave (heave) motion in order to reduce false alarms, resulting in fewer drilling operation disruptions. The system includes a sensor or sensors disposable with respect to a drilling rig subject to rig motion. A processor receives a real-time position signal indicative of the rig motion from the sensor and applies a state observer to the position signal to determine annular flow parameters. The system models an annular flow for the wellbore to produce a modeled flow signal that reflects a position of the drilling rig relative to influx flow. The system uses the modeled flow to determine kick-loss-alarm parameters that take into account the heave motion.