Seismic Inversion with Diffusion Model
Budget: $750 – $1,500 USD
I'm in need of an expert in Score-Based and Probabilistic Diffusion Models for seismic inversion work. Implementation phase is the key focus.
Key Requirements and Deliverables:
- Proficiency in Python is a must. You'll be responsible for implementing the model using this language.
- Expertise in Score-Based and Probabilistic Diffusion Models, particularly in the context of seismic inversion.
Ideal Skills:
- Strong programming skills, particularly with Python.
- Ability to work through implementation challenges independently.
- Prior experience with seismic inversion / inverse problem projects is a plus but not required.
If you're an expert in these models and have the necessary Python skills, I'm looking forward to hearing from you.
This is the code we want to implement: take a look at it https://github.com/berthyf96/score_prior
To solve inverse problem (Bayesian seismic inversion ): https://www.semanticscholar.org/paper/Bayesian-linearized-AVO-inversion-Buland-Omre/5a9e8c023c8749241e4cd64c3dac97ae4194390a
(code is available for conventional Bayesian prestack seismic inversion )
Key Requirements and Deliverables:
- Proficiency in Python is a must. You'll be responsible for implementing the model using this language.
- Expertise in Score-Based and Probabilistic Diffusion Models, particularly in the context of seismic inversion.
Ideal Skills:
- Strong programming skills, particularly with Python.
- Ability to work through implementation challenges independently.
- Prior experience with seismic inversion / inverse problem projects is a plus but not required.
If you're an expert in these models and have the necessary Python skills, I'm looking forward to hearing from you.
This is the code we want to implement: take a look at it https://github.com/berthyf96/score_prior
To solve inverse problem (Bayesian seismic inversion ): https://www.semanticscholar.org/paper/Bayesian-linearized-AVO-inversion-Buland-Omre/5a9e8c023c8749241e4cd64c3dac97ae4194390a
(code is available for conventional Bayesian prestack seismic inversion )