Minimizing drilling risks and costs with AI-driven seismic prediction for enhanced operational efficiency
Training Models for Seismic Prediction for Hydrocarbon Exploration
Reduces exploration risks
Precision zone targeting
Led by Director of Product @ Graphcore, winner of Cog X Best Innovation: NLP Award (Graphcore x Pienso). Researchers and software engineers at the forefront of the AI revolution. This hive caters to AI requirements from ideation, design, R&D, to productization.
The challenge
Eliminate time and cost inefficiencies brought by traditional seismic prediction tools that frequently underperform in the hydrocarbon exploration and extraction sector.
The solution
Developed a deep learning model specifically designed to predict optimal drilling zones using seismic data. The model was trained on seismic and geophysical data inputs to generate accurate and reliable predictions. It leverages transformer-based sequence modeling for feature extraction, utilizing 3D seismic volumes to enhance predictive accuracy.
Impact
- Identify and evaluate resources with greater precision
- Significantly reduce drilling-associated risks
- Minimize time and cost losses increasing operational efficiency and profitability
