Survey design & acquisition strategy
Array geometry, station spacing, aperture, detectability, deployment planning, metadata standards, and field QC requirements aligned to the scientific or operational question.
Applied geophysics · Seismology · Decision-ready interpretation
Clear decisions from noisy geophysical data.
SeisLogic helps teams move from noisy waveforms and ambiguous subsurface signals to defensible interpretations through survey design, seismic and microseismic processing, event location and characterization, and uncertainty-aware reporting.
Focus: reduce avoidable uncertainty and make unavoidable uncertainty visible.
Survey design
Event characterization
Microseismic analysis
Uncertainty reduction
Traceable workflows
Core capabilities
Services designed for ambiguous seismic and subsurface problems.
Seismic & microseismic processing
Noise characterization, waveform conditioning, phase picking, detection workflows, velocity-model support, imaging-ready products, and reproducible processing chains.
Event location, identification & characterization
Local and regional event review, association, location uncertainty, magnitude estimation, catalog cleanup, source-type discrimination, and defensible event interpretation.
Uncertainty, traceability & ML-assisted analysis
Machine-learning-assisted detection and screening, assumption tracking, sensitivity tests, audit trails, and outputs that can be traced back to the observations behind them.
Workflow
A workflow built around decision quality, not just data volume.
Define the questionClarify the target, the operational decision, the acceptable uncertainty, and the deliverables that matter.
Design the surveyChoose geometry, timing, coverage, and QC criteria so the acquisition strategy matches the problem instead of wasting effort.
Extract the signalCondition noisy data, review assumptions, pick arrivals, and document what was filtered, retained, or flagged.
Locate and classify eventsSeparate real seismicity from false detections, distinguish local from regional signals, and build defensible catalogs.
Interpret with uncertainty in viewIntegrate imaging, event behavior, and geological context while making confidence and limitations explicit.
Deliver decision-ready outputsProvide maps, figures, catalogs, technical notes, and next-step recommendations with clear provenance.
Operating philosophy
Defensible answers, not black boxes.
- Trace every result back to the underlying observations, processing decisions, and assumptions.
- Use ML where it improves scalability or sensitivity, then validate it against the geophysical context.
- Make uncertainty visible in catalogs, images, and recommendations instead of hiding it behind glossy figures.
Primary outcomeDecision-ready interpretation
SpecialtyEvent location & misidentification review
Technical themeUncertainty reduction & traceability
ML roleAssist, screen, detect, and scale review
Applications
Where SeisLogic can help.
Geothermal & induced seismicity
Monitoring strategy, seismicity review, event-location support, and interpretation around evolving subsurface activity.
Passive seismic & local networks
Temporary arrays, background seismicity studies, local and regional event discrimination, and catalog validation.
Subsurface imaging & interpretation
Seismic or geophysical anomaly review, integration with structural context, and uncertainty-aware interpretive products.
Infrastructure, environment & research
Site characterization, risk screening, noise studies, method development, and technically rigorous special projects.
Technical credibility
Work that can be inspected, repeated, and defended.
Credibility comes from the evidence chain: a scope tied to the decision, methods tied to the physics and acquisition limits, and conclusions tied to documented observations and uncertainty checks.
Methods matched to the problem
Survey design, processing, event review, and interpretation remain grounded in the measurement geometry, signal physics, noise conditions, and limits of the available data.
A visible evidence chain
Assumptions, processing choices, quality checks, sensitivity tests, and uncertainty notes are documented so material conclusions can be reviewed and repeated.
Automation with accountability
Machine learning and automation can accelerate detection and screening, but consequential interpretations remain subject to domain review and geophysical context.
Typical decision-ready deliverables
Reviewed event catalogs
Location and uncertainty maps
Survey geometry recommendations
Detection-performance assessments
Reproducible processing workflows
Interpretive figures
Technical memoranda
Next-step recommendations
Partners
Under constructionPartnerships built around rigorous subsurface work.
SeisLogic works with operators, engineering teams, researchers, and technology partners when projects require careful geophysical design, transparent processing, and defensible interpretation.
Collaboration focusApplied geophysics
Technical fitSeismology & data workflows
Project styleFocused, traceable, decision-oriented
Contactastro@seislogic.com
Example projects
Under constructionExample projects
Illustrative project scopes are shown below. Published case studies will be added as project details are cleared for release.
Start a conversation
Bring a dataset, a monitoring problem, or a messy catalog.
Share enough context to identify the technical question, the available data, and the decision the work needs to support. Do not submit confidential or export-controlled material through this form.
astro@seislogic.com