Redefining The Seismic Interpretation Process
The Dawn of interpretationAI
Artificial Intelligence (AI) is redefining the seismic Interpretation process. The creation of AI has led to some challenges and solutions and a new era in subsurface interpretation.
Transforming the Oil & Gas Industry: A Leap into AI-Powered Seismic Interpretation
In the ever-evolving technology of oil and gas exploration, the task of interpreting large seismic volumes has been traditionally laborious, demanding considerable time and expertise. However, the advent of powerful AI technologies, such as interpretationAI by SubsurfaceAI Inc., is reshaping this landscape. This breakthrough promises to streamline the seismic interpretation process, offering a blend of speed and precision previously unattainable.
The Challenge: Traditional Seismic Interpretation
Traditionally, seismic interpretation for oil and gas exploration is a meticulous task. It involves analyzing 3-D seismic volumes, a process that can stretch over weeks or months, even for experienced geoscientists. The necessity for faster decision-making and efficient utilization of geoscientist time has led to a pursuit for more rapid methods.
The Solution: AI for Seismic Interpretation
This is where interpretationAI steps in, a pioneering software in the AI for seismic interpretation market. It offers an AI-powered seismic interpretation platform that fundamentally redefines the seismic interpretation process. By leveraging AI models, interpretationAI enables the generation of comprehensive seismic analyses, including the identification of horizons, faults, and various geobodies like channels, salt domes, and volcanoes.
Key Features of interpretationAI
- Interactive Labeling & Training: Facilitates digitization and editing of training labels for various geological features, converting existing interpretations into training labels, and immediate training result evaluations.
- Fault Probability Volume: Enables the generation of fault probability volumes and tracking of fault surfaces.
- Relative Geologic Time Volume: Assists in creating RGT volumes and horizon surfaces.
- Seismic Sequence: Offers capabilities for generating seismic sequence volumes and corresponding horizon surfaces.
- Geobodies and Salt Dome Identification: Allows for the generation of channel and geobody probability volumes.
- Facies Analysis: Supports multiple facies training and prediction.
- Enhanced Server Capabilities: Incorporates multiple GPU servers for training and prediction, with shared server options.
- Corporate Interpretation Knowledge Management: Facilitates the digitization and categorization of seismic interpretation knowledge, sharing it across a centralized corporate database.
AI for seismic analysis: The Realistic Expectation
The question arises: Can AI, with a simple button push, realistically interpret large seismic volumes?
The answer is both “Yes” and “No”.
- Yes: Once AI models are well-trained, interpretationAI can automate the interpretation process, making it possible to utilize AI for seismic analysis of large seismic volumes with one button pushing.
- No: The effectiveness of AI models requires many quality training labels, which means quite a few buttons pushing in preparing labels similar to the conventional interpretation process, to augment and fine-tune the existing AI models built from previously digitized labels. Note that this process is still much less than the conventional seismic interpretation process.
For example, you only need to interpret a few typical sections that represent the structural styles and stratigraphic patterns in your volume. This often means that you only need to interpret less than 1% of what you used to interpret with the legacy software.
The Future: A New Era in Subsurface Data Interpretation
With interpretationAI, a new era in subsurface data interpretation has begun. It’s now feasible to interpret large 3-D seismic volumes rapidly, post the intensive phase of AI model training. This capability marks a significant stride towards more efficient and effective exploration and production activities in the oil & gas sector.
Conclusion
The integration of AI in seismic interpretation, exemplified by interpretationAI, heralds a transformative period in oil and gas exploration. It balances the need for rapid decision-making with the intricacy of seismic data analysis. While the technology is not a magic wand that eliminates all manual effort, it significantly enhances the speed and efficiency of the seismic interpretation process, opening new horizons in the exploration and production of oil and gas.
Contact subsurfaceAI if you would like to discuss interpretationAI or any of the other packages that we have.
