Seismic Completion Planning
AI-powered seismic and subsurface analytics platform for 3D acoustic imaging, well completion design optimization, collaborative completion workflows, and faster upstream capital allocation.
The Problem
“SeisComplete AI for seismic imaging, completion optimization, and upstream capital allocation”
Organizations face these key challenges:
Limited downhole visibility during completion design selection
High spend on suboptimal plug, perforation, proppant, mud, and stage-spacing choices
Fragmented seismic, well, frac, production, and commercial data sources
Slow cross-functional decision-making across distributed teams
Impact When Solved
The Shift
Human Does
- •Assemble seismic, completion, production, and economic data from separate sources
- •Compare offset wells and field trials to choose plug, perforation, proppant, mud, and stage-spacing designs
- •Interpret subsurface imaging and production results in separate workflows
- •Prepare static reports to diagnose underperforming stages and support drilling decisions
Automation
- •No consistent AI support; analysis is mostly manual in spreadsheets and desktop tools
- •Basic reporting tools summarize historical well and production data
- •Isolated models provide limited forecasting without integrated cross-domain context
Human Does
- •Set completion design objectives and review ranked design recommendations
- •Approve design changes, field interventions, and escalation actions for underperforming wells or stages
- •Validate subsurface interpretations, forecast assumptions, and uncertainty ranges for key decisions
AI Handles
- •Fuse seismic, completion, production, operational, and commercial data into a shared analytical view
- •Detect design-performance patterns across controlled field experiments and benchmark comparable wells
- •Predict completion outcomes under alternative plug, perforation, proppant, mud, and stage-spacing choices
- •Monitor wells and stages for underperformance, generate alerts, and triage likely causes
Operating Intelligence
How it works
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 completion design changes, field interventions, or escalation actions for underperforming wells or stages without designated human review. [S2][S3]
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 Completion Planning implementations:
Key Players
Companies actively working on Seismic Completion Planning solutions:
Real-World Use Cases
Cloud-based well completion analytics and collaboration platform
Put all completion data in one cloud system so teams can monitor wells, run predictive analytics, and collaborate remotely without waiting for files or local systems.
AI-assisted subsurface modelling for faster capital allocation in upstream oil and gas
AI helps combine underground geology data with business data so oil and gas teams can decide faster where to spend money and which wells or assets look best.
3D acoustic imaging for well completion design optimization
An operator scanned completed wells with 3D acoustic imaging to see what actually happened underground, then compared different completion designs to find the cheapest setup that still delivers strong production.