Approved Sources
Can a user see which records are permitted?
For Geologists
Geologist Tools for Evidence-Led Subsurface Analysis
Bring approved maps, borehole records and survey results into one research view. Compare what each source shows and keep its location, depth and limits attached.
Mimasa AI helps geologists organise records, build useful dashboards and prepare a reviewed finding. Work with connected data you are permitted to use. Keep scientific interpretation with the geologist.
Named sources · Clear coordinates · Depth and units · Human review
Map And Borehole Evidence
Illustrative, Fictional DataFictional local grid · Scale 1:25,000 · Datum stated
BH-A Borehole Log
0–12 m · Cover
12–18 m · Sandstone
18–24 m · Siltstone
Depth below collar · Log version 2
Analyst Method
What Does Geological Data Analysis Include?
Geological data analysis starts with a question about a defined area. Which rock units were observed there? Which boreholes support an interpretation? What is still unknown between samples?
Use Data Extraction & Connectivity for supported, authorised inputs. A geology file format or provider feed needs a confirmed connector or validated import route before use.
- 01
Scope
Pick the area, question and relevant scale.
- 02
Collect
Gather permitted maps, logs, samples and survey records.
- 03
Check
Align coordinates, depth measures, units and source dates.
- 04
Compare
Look for agreement and record conflicting or missing evidence.
- 05
Explain
Share a reviewed finding with its sources and limits.
Evaluating Tools
Which Digital Geologist Tools Are Useful?
Digital geologist tools should help you find the source behind a point, trace a sample to a field record and explain a map. Ask whether a tool preserves the coordinate system, method and review history.
Consistent Locations
Are coordinates and their reference system visible?
Traceable Samples
Can a value lead back to its sample ID and method?
Readable Comparisons
Can different layers be viewed at a common scale?
Controlled Findings
Can a geologist correct a draft before sharing it?
Use Data Governance & Collaboration for access and ownership. Data & Technology Analysts can help with source quality and data-pipeline questions.
Map Evidence
Build a Map That Shows Its Limits
Geological data visualization can place field observations, maps and samples in one view. Show each layer's provider, date, scale and reference system. A neat overlay does not remove gaps in the underlying surveys.
| Input | What It Can Contribute | What To Check First |
|---|---|---|
| Geological map | Mapped units and boundaries | Scale, date, legend, interpretation |
| Field record | Observed rock and location | Position accuracy, observer, method |
| Borehole log | Depth-linked material descriptions | Collar, datum, interval, log version |
| Geochemical assay | Measured sample result | Sample ID, units, method, detection limit |
| Geophysical survey | A measured physical signal | Survey setup, coverage, processing |
A map can show where evidence overlaps. It cannot prove that a unit continues between distant observations. Use Visualisation & Dashboards for general chart building. This page owns the geologist's source-aware reading of the map.
Depth And Evidence
Subsurface Data Visualization With Depth and Evidence
Subsurface data visualization earns its place when a reader can see which part of a cross-section is observed and which part is inferred. A borehole is a measured record at a location. Lines between boreholes are interpretations that a geologist must test.
For subsurface data analysis, begin with borehole locations and comparable depth references. Add a labelled map or cross-section only after checking the records and any transformation.
| Borehole | Fictional Collar | Logged Interval | Observed Description | Status |
|---|---|---|---|---|
| BH-A | Map point A | 12–18 m below collar | Sandstone | Log reviewed |
| BH-B | Map point B | 15–22 m below collar | Sandstone | Log reviewed |
| Between A and B | No borehole | Unknown | Possible continuity | Interpretation only |
Borehole data analysis should preserve the ID, collar position, depth unit, interval and log version. A supplied 3D model may be referenced only after its format, author and assumptions are verified.
Samples And Surveys
Compare Evidence Without Calling an Anomaly a Discovery
Geochemical data analysis begins with a known sample and laboratory method. Check its location, units and detection limit. A detection limit is the smallest value a method can measure reliably. A value below it differs from a measured zero.
Geophysical data analysis examines signals from a specific instrument or survey method. Show line spacing, survey area and processing notes when available. A strong signal can have several geological explanations.
Recorded Events
Read Seismic Records as Observations
Earthquake Data Analysis
Group recorded events by location, depth, magnitude and date. Show the catalogue provider, retrieval time, magnitude scale, depth reference, revision and coverage.
Earthquake Data Visualization
Show the distribution of recorded events within a stated time window. A cluster is a pattern in observations, not a date for the next earthquake.
Seismic Data Visualization
Pair a map with a short event table and source note. Never turn event counts into an automatic site-level seismic-risk score or predictive warning.
Hazard assessments are separate, method-based work. Event counts alone cannot determine a site's future earthquake probability. Refer readers to the responsible geological or seismic authority for official assessments.
Reviewed Finding
Turn a Research View Into a Reviewed Geological Finding
A useful report separates what was observed from what was inferred. Keep assumptions near the conclusion.
Draft through Insights, Analysis & Reporting. An authorised geologist reviews the final language and controls distribution. Do not publish a resource claim, hazard warning or land-use approval from an unreviewed AI summary.
A planning team may need geological context. Planning & Development Intelligence owns the broader project workflow. Data & Decision Intelligence covers governed decisions after a reviewed finding.
Suggested Short Report Outline
- 1Question: Area, scale and research objective.
- 2Sources: Map editions, boreholes, sample IDs and survey dates.
- 3Observed: Features directly supported by records.
- 4Interpreted: What may connect those observations, and why.
- 5Uncertain: Missing records, mismatched units or alternatives.
- 6Next Check: Sampling, expert review or a revised section.
Refresh And Sharing
Keep Fieldwork Status and Research Findings Separate
A research dashboard can refresh from approved records and show its last successful source date. An analyst still reviews whether a changed source or new result affects an earlier interpretation.
Private Draft
Audience: Geologist
Check: Location, units, source rights and assumptions
Team Review
Audience: Named collaborators
Check: Scientific interpretation and alternatives
Public, If Enabled
Audience: Cleared audience
Check: Data licence, sensitive sites, approval and attribution
If your team tracks sample collection delays and review queues, see Operational Analytics. It manages process signals; this page explains the geology. A workflow KPI is not evidence of mineral potential.
Public dashboards or named research profiles require verified sharing settings, authorised records and a conditional publication step. Never release sensitive exploration data automatically.
Related Roles
Follow a Related Analyst Question
Choose the next role based on the question, not because two dashboards use a map.
FAQ
Geologist FAQs
Clear answers about geological sources, subsurface evidence, seismic records and reviewed sharing.
Get Started
Give Every Geological Finding a Source
Start with one area, a research question and the records you may use. Check the map and depth context, then share a finding that a colleague can review.