Enhancing Post-Run Drilling Optimization with Data Analytics and High-Speed Drilling Dynamics Measurements

Pedro ArevaloHatem Oueslati

pedro.arevalo@bhge.com

Celle Drilling September 2017

Baker Hughes, a GE Company

Content

▪ Introduction: Downhole Vibration

▪ High-Speed Data Downhole

▪ Drilling Optimization

▪ Analytics Application

▪ Case Study: Torsional Oscillations

▪ Conclusions

Downhole Vibration

Distribution of Drilling Energy

Power In (Rig)

▪ RPM

▪ WOB / Torque

▪ Hydraulics

Power In (Motor)

▪ RPM

▪ Torque

Power Out (Drill String)

▪ Transmission losses

▪ Drag / Friction

▪ Vibration

Power Out (Bit)

▪ ROP

▪ Heat / Friction

▪ Vibration

Downhole Vibration

Lateral Vibration(e.g., Whirl)

Torsional Vibration(e.g., Stick-Slip, High-Frequency

Torsional Oscillations)

Axial Vibration(e.g., Bit Bounce)

Vibration Dysfunctions

Downhole VibrationExcitation and Vibration Response

0.1 1 10 100 1000

Frequency (Hz)

Excita

tio

nR

esp

on

se

Surface 11

Downhole (LF) 75

Downhole (HF) 350

Stick-Slip 0.5 HFTO 350

Bit Bounce 40

BHA Whirl 25

Bit Whirl 70

0.1 1 10 100 1000

High-Speed Data Downhole

1000 Hz Signal 250 Hz SignalHFTO Example

Smart Triggering

High-Speed Data Downhole

• Capture reliable data

• Efficient storage

HF DAQ Store HSD

Drilling Optimization

Tool ReliabilityDrilling Performance

• ROP

• Energy Transfer

• Loads Reduction

Borehole Quality

• Well Control

• Stability

Optimize

Drilling Optimization

Drilling Optimization

Planning

Real Time

Post Well

▪ BHA Design

▪ Modelling

▪ Simulation

▪ Monitoring

▪ Parameter optimization

▪ Data Analysis

▪ Correlation

▪ Parameter Identification

Drilling Optimization: Post-Well Data

Drilling Logs

Modelling

Lithology Information

Time

Consuming

Big Data(1)

(1) SPE Paper 178874 - Hohl, A.; Tergeist, M.; Oueslati, H.: Prediction and Mitigation of Torsional Vibrations in Drilling Systems, 2015

Analytics Application

Accelerate

Processing

High-Speed Data

Analysis

Legacy

Compatible

Embedded

AnalyticsReporting

Analytics Application

• Diagnostics

• Statistics

• DysfunctionsAVD

• High-Frequency

• Vibration

• LoadsHSD

• CorrectionFactors

• FiltersConfig

Filtering Target Data

Data Mining Events

KPIsAnalytics

Tasks

Reporting Evaluation

Analytics Application: Run Summary

Run snapshotInteractive KPIs

Statistical Diagnostics

Analytics Application: Performance

Drilling LogsInteractive KPIs

Time based Histogram

Vibration Diagnostics

Analytics Application: HSD1

Overview of HSD channelInteractive KPIs

Dependency Analysis

Analytics Application: HSD2

Deeper look at HSD eventInteractive KPIs

Time Analysis

Frequency Analysis

Differentiate Low and High-Frequency Torsional Oscillations at the field: SSLIP vs HFTO

Case Study: Torsional Oscillations

Scenario

- Downhole Data

- Modeling results

Resources

(1) SPE Paper 178874 - Hohl, A.; Tergeist, M.; Oueslati, H.: Prediction and Mitigation of Torsional Vibrations in Drilling Systems, 2015

(2) Journal of Sound and Vibration, - Hohl, A.; Tergeist, M.; Oueslati, H.: Derivation and experimental validation of an analytical criterion for

the identification of self-excited modes in drilling systems, 2015

Dominant mode from modeling: 199 [Hz]

Measurement point (1), (2)

Case Study: Torsional Oscillations

Wob vs RPM (Stick-Slip) Wob vs RPM (Tangential Vibration)

Run OverviewDiagnostics Summary

SSLIP

HFTO HFTO

SSLIP

Case Study: Torsional OscillationsRun Overview

HS

D T

ange

ntia

lH

SD

Lat

eral

High Tangential Amplitude

HS

D A

xial

Case Study: Torsional Oscillations

Tangential Acc vs RPM (SSLIP) Tangential Acc vs Axial Acc (RPM)

Filter Data: Select High SSLIP and HFTO

SSLIP

HFTO HFTO Coupling of Tang., Axial

Tangential Acc vs Tob (RPM)

HFTO

Tangential Acc vs Wob (RPM)

HFTO

Case Study: Torsional Oscillations

Stick-Slip Event HFTO Event

Filter Data: Select High SSLIP and HFTO

Case Study: Torsional OscillationsHigh-Speed Data: SSLIP Event

Time: RPM and Radial RPM Frequency: RPM

Time: Tangential Acceleration and RPM Frequency: Tangential Acceleration

SSLIP @ 0.25 [Hz]

Small Amplitude in aTang @ 2 [g]

Case Study: Torsional OscillationsHigh-Speed Data: HFTO Event

Time: RPM and Radial RPM Frequency: RPM

Time: Tangential Acceleration and RPM Frequency: Tangential Acceleration

HFTO @ 200 [Hz]

HFTO @ 200 [Hz]

High Amplitude in aTang @ 40 [g]

Case Study: Torsional OscillationsHigh-Speed Data: HFTO Event

Time: Axial and Tangential Acceleration Frequency: RPM

Time: Tangential Acceleration and Torque Frequency: Torque

HFTO @ 200 [Hz]

HFTO @ 200 [Hz]

Case Study: Torsional OscillationsPost-Well Analysis

▪ Reduce RPM when HFTO appears

▪ If possible use motor to decouple HFTO along the BHA

▪ Evaluate other types of drill bits (hybrid)

• AVD

• HSDDownhole

Data

• Failure modes

• Predicted frequenciesModeling

Analytics Application

Recommendations:

Optimize

Conclusions

▪ Reliable measurements of downhole dynamics are

crucial to understand dysfunctions

▪ High-Speed Data confirms modeling results

▪ Embedded analytics significantly reduces processing

time, and leverages better understanding of dynamics

▪ Combination of modeling and accurate downhole

measurements leads to improve performance

▪ Standard reporting defines a comparison framework

Post-Well Analysis

Conclusions

▪ Stick-Slip: Low frequency phenomena with low aTang

amplitude

▪ HFTO: High frequency phenomena with high aTang

amplitudes

▪ During HFTO, RPM and aTang exhibit linear

relationship

▪ During HFTO, aTang and aAxial exhibit coupling

Torsional Oscillations

Enhancing Post-Run Drilling Optimization with Data Analytics and High-Speed Drilling Dynamics Measurements

Pedro ArevaloHatem Oueslati

pedro.arevalo@bhge.com

Celle Drilling September 2017

Baker Hughes, a GE Company