From Geophysics to Rockphysic

Reduce the dependency of LFM, sparse data
Simultaneously provided the elastic and petrophysical data
The expertise knowledge into the inversion process
Save time-consuming compared to traditional approaches

Deep Learning

Deep Learning based on Seismic Inversion leverages advanced neural network architectures to extract high-resolution subsurface property models from seismic data.

By combining the physics-based insights of seismic inversion with the pattern-recognition capabilities of deep learning, this approach enhances the prediction of lithology, fluid content, and reservoir quality.

The method accelerates interpretation workflows, reduces uncertainty, and delivers more accurate models — enabling smarter decision-making in exploration and production.

VPILogMind – Instant AI-Powered Petrophysical Interpretation for Digital Twins

VPILogMind is an advanced interpretation platform developed by the Vietnam Petroleum Institute (VPI), designed to automatically classify lithology and predict key reservoir properties—Vcl, PhiE, Sw, Reservoir Flag, and Pay Flag—directly from well log data. Leveraging state-of-the-art AI/ML algorithms (LightGBM, Random Forest, XGBoost, Neural Networks), it delivers high-accuracy results while drastically reducing interpretation time and cost compared to conventional expert-led workflows.

By combining domain expertise with data-driven modeling, VPILogMind standardizes interpretations across fields and sedimentary basins, eliminating inconsistencies caused by varying methods or input parameters. Its advanced preprocessing—such as stratigraphic segmentation and feature engineering—ensures robust classification and regression models for reliable reservoir evaluation.

Two workflow modes for maximum flexibility

1️⃣ Pre-trained, expert-enhanced model – Optimized on high-quality well log datasets from the Northern Cuu Long Basin, with advanced data processing, algorithm tuning, and rigorous model optimization for superior accuracy and reliability. Crucially, it integrates the interpretive knowledge of seasoned petroleum geoscientists to handle complex reservoir properties with exceptional precision. Apply instantly for automated interpretation and receive results in seconds.

2️⃣ Custom model builder – Allows users to design AI models using their own datasets, domain knowledge, preprocessing choices, and preferred algorithms. Fully adaptable to the geological context of any specific field.

Beyond standard evaluation, VPILogMind also identifies missed hydrocarbon pay zones, uncovering productive intervals often overlooked in manual interpretations. This expands resource assessment, supports improved recovery strategies, and enhances digital twin reservoir models.

Whether you need immediate, trusted results or a customized AI workflow, VPILogMind is the direct path to faster, smarter, and more consistent reservoir evaluation—while unlocking overlooked hydrocarbon potential.

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