Seismic Prospect Discovery
AI-powered seismic analysis and integration platform for enhancing imaging, automating interpretation, accelerating geological feature detection, and embedding Seismic workflows into enterprise exploration systems.
The Problem
“SeisNova modernizes seismic interpretation and enterprise integration with AI”
Organizations face these key challenges:
Poor seismic quality and difficult imaging in salt-affected areas
Slow manual fault picking and structural interpretation
Fragmented workflows across seismic tools and enterprise systems
Repeated data conversion, copying, and preprocessing before use
Impact When Solved
The Shift
Human Does
- •Gather seismic datasets from separate tools and prepare them for interpretation
- •Manually review seismic quality and request preprocessing or imaging updates
- •Interpret faults, horizons, and geological features across large 3D volumes
- •Compare analogues and subsurface findings using expert judgment and spreadsheets
Automation
- •Run limited rule-based preprocessing steps
- •Support basic batch imaging and data conversion jobs
- •Execute fixed API or embedded workflow calls between systems
Human Does
- •Set interpretation priorities and approve imaging and analysis objectives
- •Review AI-generated faults, features, and analogue rankings for subsurface decisions
- •Handle ambiguous geology, low-confidence outputs, and workflow exceptions
AI Handles
- •Enhance seismic quality and improve imaging for complex salt-related structures
- •Automate fault picking, feature detection, and multi-attribute interpretation support
- •Condition, transcode, and route seismic data through elastic processing workflows
- •Rank analogues and combine seismic outputs with enterprise context for decision support
Operating Intelligence
How Seismic Prospect Discovery runs once it is live
AI runs the first three steps autonomously.
Humans own every decision.
The system gets smarter each cycle.
Who is in control at each step
Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.
Step 1
Assemble Context
Step 2
Analyze
Step 3
Recommend
Step 4
Human Decision
Step 5
Execute
Step 6
Feedback
AI lead
Autonomous execution
Human lead
Approval, override, feedback
AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.
The Loop
6 steps
Assemble Context
Combine the relevant records, signals, and constraints.
Analyze
Evaluate options, risk, and likely outcomes.
Recommend
Present a ranked recommendation with supporting rationale.
Human Decision
A human accepts, edits, or rejects the recommendation.
Authority gates · 1
The system must not approve subsurface interpretations for prospect screening or development decisions without review by a geoscientist or interpreter [S1][S2].
Why this step is human
The decision carries real-world consequences that require professional judgment and accountability.
Execute
Carry out the approved action in the operating workflow.
Feedback
Outcome data improves future recommendations.
1 operating angles mapped
Operational Depth
Technologies
Technologies commonly used in Seismic Prospect Discovery implementations:
Key Players
Companies actively working on Seismic Prospect Discovery solutions:
Real-World Use Cases
Remote MCP-based AI orchestration for Seismic content workflows
This setup lets an external AI assistant securely plug into Seismic so it can look up content, react to events, and help users complete content-related tasks.
Wave resource data access for energy site assessment
A developer can call the Wave API to fetch ocean wave conditions and model outputs instead of collecting all measurements themselves.
AI-assisted capital allocation in subsurface modelling
AI helps combine underground technical data with business data so energy companies can decide more quickly where to spend money.
Pseudo-well generation to improve seismic inversion under sparse well control
When there are not enough real wells, the team creates approximate virtual wells from an initial impedance result and uses them to guide a better final inversion.
Custom Seismic app and extension development
Developers can build apps that plug deeply into Seismic so teams can add custom features or connect Seismic to internal systems.