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Enabling full-waveform inversion to recover salt bodies in challenging conditions: A field data application �

Abdullah Alali and Tariq Alkhalifah

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Motivation

Enabling FWI to recover salt bodies in challenging condition

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(Duffy et.al, 2022)

Duffy, Oliver B., et al. "The role of salt tectonics in the energy transition: An overview and future challenges." (2022).

geothermal

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Full-waveform inversion (FWI) with salt bodies

Enabling FWI to recover salt bodies in challenging condition

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(Kalita et.al, 2019)

FWI

BP salt model

Initial model

Inversion result

Kalita, Mahesh, et al. "Regularized full-waveform inversion with automated salt flooding." Geophysics 84.4 (2019): R569-R582.

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Full-waveform inversion (FWI) with salt bodies

Enabling FWI to recover salt bodies in challenging condition

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Top to bottom approach

1.6 Hz

Long offset ~ 20 km

FWI

(Shen et al., 2017)

Shen, Xukai, et al. "Salt model building at Atlantis with full-waveform inversion." SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. 1507-1511.

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Objectives

Enabling FWI to recover salt bodies in challenging condition

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Initial model

Imaging -Picking ToS

Flooding

Imaging – Picking BoS

Unflooding

Top-to-bottom:

Objectives:

    • Automate salt identification

Utilize deep learning(U-net) for flooding and unflooding

2. Reduce the imaging cost

Reconstruct the salt in multi-scale frequency FWI

    • Mitigate the low frequencies and long offset requirement

Depends on the velocity estimation by U-net

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1D Training workflow

Enabling FWI to recover salt bodies in challenging condition

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Network Input

(FWI)

Network Output

(Flooding/unflooding)

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Generating training data

Enabling FWI to recover salt bodies in challenging condition

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Random 1D models

Adding salts

FWI

  • Randomly added a salt layer of 4.5 km/s to 50% of the models

  • 10000 Random 1D models
  • Minimum velocity 1.5 km/s and it is generally increasing with depth

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Validation Samples

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Initial for FWI

FWI

Target

Prediction

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Validation Samples

Enabling FWI to recover salt bodies in challenging condition

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Flooding 2

Initial for FWI

FWI

Target

Prediction

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Validation Samples

Enabling FWI to recover salt bodies in challenging condition

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Unflooding

Initial for FWI

FWI

Target

Prediction

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BP 2004 salt model (central part)

Enabling FWI to recover salt bodies in challenging condition

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Max. Offset 6 km

Min. Frequency 3 Hz

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BP inversion – FWI

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion - flooding 1

Enabling FWI to recover salt bodies in challenging condition

Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion – FWI

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion - flooding 2

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion – FWI

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion - Unflooding

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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BP inversion – Final FWI

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Final

FWI

Initial

model

Freq < 7 Hz

Freq < 10 Hz

Freq < 15 Hz

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Gulf of Mexico (Mississippi Canyon) data

Enabling FWI to recover salt bodies in challenging condition

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Shot gather

Frequency spectrum

Max. offset: 4.8 Km

Min. frequency: ~5 Hz

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GOM inversion

Enabling FWI to recover salt bodies in challenging condition

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Flooding 1

Flooding 2

Unflooding

FWI

FWI

Initial model

Freq < 7.5 Hz

Freq < 10 Hz

Freq < 15 Hz

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GOM Final inversion and RTM image

Enabling FWI to recover salt bodies in challenging condition

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Final Inversion

RTM image

FWI and RTM overlay

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GOM Final inversion and RTM image

Enabling FWI to recover salt bodies in challenging condition

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FWI and RTM overlay

Common Angle Gathers

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Conclusions

Enabling FWI to recover salt bodies in challenging condition

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  • A fully automatic salt reconstruction workflow

- Efficient 1D training

- Prevent adding cost courtesy of the multiscale FWI

- Challenging synthetic and field dataset

    • a poor initial velocity model
    • limited offset
    • No low frequencies

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  • KAUST for supporting this research
  • SWAG group members for insightful discussions
  • The KAUST Supercomputing Laboratory for the supercomputing resources
  • The sponsors of the DeepWave consortium for their support

Acknowledgments

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Abdullah Alali

Tariq Alkhalifah

08-06-2023

Thank you for listening!