Electrical Arc Modeling for Formation Characterization

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current pulsed drilling technologies face challenges in accurately determining formation characteristics and dip parameters during subterranean drilling, as they rely on incomplete data from random electrical arc locations and lack efficient methods for real-time formation imaging.

Innovation Solution

The implementation of a pulsed-power drilling system with a sensor analysis system that uses electrical arc modeling, statistical modeling of arc sources, and distributed acoustic sensing to record and analyze electromagnetic and acoustic waves, enabling the determination of formation characteristics and dip parameters through inversion processes and image construction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If electrical arc modeling with multiple sensors is implemented, then measurement precision of formation characteristics is improved, but device complexity increases

Engineering Contradiction:
Improveformation characteristics determination accuracyVSAvoidsensor analysis system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the measurement function into multiple specialized sensors (acoustic sensors, electromagnetic sensors, electrical sensors) distributed at different locations, each capturing specific aspects of electrical arc behavior. This segmentation allows comprehensive data collection from multiple perspectives simultaneously, improving formation characterization accuracy while distributing system complexity across modular sensor units

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces electrical arc modeling as an intermediary computational framework that processes raw sensor data and transforms it into meaningful formation characteristics. The modeling approach acts as a mediator between the complex multi-sensor data and the final formation parameters, simplifying the interpretation process while maintaining high measurement precision

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If real-time formation imaging is implemented, then productivity of drilling operations is improved, but loss of time for data processing increases

Engineering Contradiction:
Improvedrilling operation efficiencyVSAvoiddata processing time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary electrical arc modeling and statistical analysis on sensor data as it is collected, preparing formation characteristic estimates in advance before final imaging is required. This preliminary processing reduces the computational burden during real-time imaging, enabling faster productivity improvements without excessive processing delays

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements continuous data acquisition and continuous modeling updates, where formation images are constantly refined as new sensor data arrives. This continuous process eliminates batch processing interruptions, maintaining uninterrupted drilling operations while progressively improving image accuracy, thus maximizing productivity with minimal time loss

Inventive Principle:
Principle #20Continuity of useful action

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 provides detailed and accurate real-time data on formation characteristics and dip parameters, enhancing drilling efficiency and safety by optimizing drilling strategies and reducing operational costs.

Implementation Method 1

repeatedly applies a high electric potential across the electrodes of a pulsed-power drill bit, which ultimately causes the surrounding rock to fracture

Methodology Applied
Scientific EffectElectrical arc: Electric Arc

Implementation Method 2

Electrocrushing drilling uses pulsed power technology to drill a wellbore in a rock formation

Methodology Applied
Scientific EffectElectrocrushing: Electrical Discharge Machining

Implementation Method 3

record responses to electromagnetic and acoustic waves produced by electrical arcs generated during a pulsed drilling operation

Methodology Applied
Scientific EffectElectromagnetic wave propagation: Electromagnetic Induction

Implementation Method 4

record responses to electromagnetic and acoustic waves produced by electrical arcs

Methodology Applied
Scientific EffectAcoustic wave propagation: Sound

Implementation Method 5

determining a characteristic of the formation in proximity to the drill bit using an inversion based on the model and on a recorded response to the electrical arcs

Methodology Applied
Scientific EffectInversion modeling: Tomography

Data Source

PatentUS11795817B2System and method for determining formation characteristics using electrical arc modeling
Publication Date: 2023.10.24 HALLIBURTON ENERGY SERVICES INC
  • US11795817B2 patent drawing
  • US11795817B2 patent drawing
  • US11795817B2 patent drawing

AI summary

A disclosed downhole drilling system may include a drill bit electrically coupled to a pulse-generating circuit to generate electrical arcs between first and second electrodes during pulsed drilling operations, a sensor to record responses to electromagnetic or acoustic waves produced by the electrical arcs, and a sensor analysis system. The electrical arcs occur at different azimuthal locations between the electrodes. The sensor analysis system may obtain a plurality of measurements representing first responses recorded by the sensor during a pulsed drilling operation, generate a model of a source of the electrical arcs based on the measurements, obtain an additional measurement representing a second response recorded by the sensor during the operation, and determine a characteristic of a formation near the drill bit using an inversion based on the model and the additional measurement. The determined characteristic may be used to determine dip parameters or construct images of the formation.