Answer my own question mid-July. I asked Claude.ai to review the latest quarterly and assess the time for AVO interpretation (DO NOT TRUST AI MODELS, BUT THIS CAN GIVE A ROUGH GUIDE) :I can provide some insight into the typical timeframe for interpreting an AVO (Amplitude Versus Offset) model for an area like the one described in PEL 87. However, it's important to note that the duration can vary based on several factors.
For a 3D seismic survey covering approximately 6,593 km2 as mentioned in the update, the AVO interpretation process could typically take anywhere from 2 to 6 months. Here's a breakdown of why:
- Data Preparation: 2-4 weeks
- Seismic data conditioning
- Gathering well data (if available)
- Preparing velocity models
- Rock Physics Modeling: 3-6 weeks
- Analyzing well logs
- Creating synthetic models
- Calibrating with seismic data
- AVO Analysis: 4-8 weeks
- Running various AVO attribute extractions
- Creating AVO classification schemes
- Generating AVO anomaly maps
- Interpretation and Integration: 4-8 weeks
- Relating AVO responses to geological features
- Integrating with other geological and geophysical data
- Identifying and ranking prospective areas
- Quality Control and Refinement: 2-4 weeks
- Peer reviews
- Sensitivity analysis
- Final adjustments
- Reporting and Presentation: 2-3 weeks
- Compiling results
- Preparing presentations and reports
The total time could be shorter if the company has a large, experienced team dedicated to the project, or if they're using advanced machine learning techniques to speed up certain processes. Conversely, it could take longer if there are complexities in the data, limited well control for calibration, or if additional iterations are required.
Also, note that the update mentions they "engaged an independent specialist consultancy to undertake an AVO study, which commenced in early July." Depending on the scope of work and the consultancy's resources, their timeline might differ from an in-house interpretation.
It's worth mentioning that AVO interpretation is not a one-time event but an iterative process. Initial results often lead to refinements in the model and further analysis, which can extend the overall timeline.
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