Intelligenza Artificiale per l'Esplorazione Sismica
Transforming seismic signals into subsurface clarity with deep learning — faster, cleaner, smarter.
Discover our solutionsAbout SQSEIS
SQSEIS S.r.l. is an Italian technology company founded in Milano in 2018 by a team of geophysicists and machine‑learning engineers. We bridge the gap between advanced artificial intelligence and real‑world seismic data processing.
Our mission is to accelerate exploration workflows, reduce drilling risk, and extract maximum value from seismic surveys – using custom neural networks, physics‑informed models, and generative AI. We work closely with energy operators, service companies, and research institutions worldwide.
Sede legale: Via dei Mille 15, 20121 Milano (MI), Italia – P.IVA IT12345678901
Core Services
AI Denoising
Deep convolutional autoencoders suppress random, coherent, and swell noise while preserving amplitude fidelity. Train on your own data or use our pre‑trained models.
Velocity Model Building
Physics‑guided neural networks predict RMS and interval velocities from gathers, reducing cycle time from weeks to hours.
Fault & Horizon Extraction
Automated interpretation with transformer‑based segmentation. Detect faults, horizons, and geobodies directly from seismic volumes.
Seismic Inversion
Deep learning inversion for acoustic and elastic impedance. Integrate well logs and geological constraints for realistic reservoir properties.
Generative Modeling
GAN‑based seismic facies generation and synthetic trace creation. Augment training datasets and fill gaps in missing data.
Custom AI Pipelines
End‑to‑end development of tailored machine‑learning workflows for your proprietary formats and processing platforms (Petrel, OpendTect, etc.).
Technology Stack
We combine classical geophysics with modern AI architectures – all validated on real seismic datasets.
SeisNet™
Our proprietary platform for training, deploying, and monitoring seismic AI models. Python‑based, containerized, and compatible with major cloud providers.
CNN & U‑Net
Workhorses for denoising, salt body delineation, and semantic segmentation of seismic images.
Transformers
Sequence‑to‑sequence models for horizon tracking, log prediction, and time‑series imputation.
GANs & Diffusion
Generative adversarial networks for high‑fidelity gap filling and stochastic reservoir modeling.
Physics‑informed NN
Embed wave equation constraints directly into training to improve generalization beyond the training distribution.
Explainable AI
Attention maps and uncertainty quantification so geoscientists can trust and verify every result.
Get in touch
Via dei Mille, 15
20121 Milano MI, Italy
+39 02 1234 5678
info@sqseis.it
www.sqseis.it
For a demo, technical discussion, or collaborative project, write us at info@sqseis.it — our team responds within one business day.
P.IVA / VAT: IT12345678901 | REA: MI-1234567