Geological interpretation
Geological interpretation software
Work with well data from interpretation to mapping: build multi-well correlation sections, interpret markers and zones, analyse geological trends and create maps, all within the same g-Space project.
Well correlation
Multi-well interpretation
Data analysis
Statistics and geological trends
Mapping
From well data to surfaces
In view
Multi-well correlation section
Geological interpretation happens in context, not in isolated tools. Build well sections from the Location Map or Data Manager, correlate markers and zones, compare logs and geological measurements, and analyse the resulting interpretation using statistical and mapping tools. Wells, markers, zones and calculated attributes remain part of the same project and can be reused throughout the workflow.
Correlating wells
Built for practical well correlation.
Start from the key wells, carry interpreted markers across the field and validate correlations using neighbouring wells, flattening, log overlays and true well spacing.
Build well sections
Create a section from the Location Map or select wells directly in the Data Manager. Add, remove and reorder wells as interpretation develops.
Correlate markers across wells
Pick a marker in one well and carry the interpretation across neighbouring wells, adjusting individual picks where required.
Flatten on any boundary
Flatten the correlation panel on a selected marker to compare stratigraphic relationships without structural relief.
Ghost curves
Overlay a reference log from one well onto another to compare curve shapes and support correlation decisions.
Flexible tracks
Combine continuous and discrete logs, fills, lithology displays, dipmeter data and other well information in customisable tracks.
Colour and classify data
Apply palettes, fills and class-based styles to logs and interpreted data to make geological patterns easier to recognise.
Reusable templates
Save complete well-display configurations and reuse them across correlation sections and individual well views.
True well spacing
Display wells using their actual relative separation so the section reflects field geometry rather than an evenly spaced stack of logs.
Analyse your interpretation
More than well correlation.
Move from visual interpretation to quantitative analysis using the same well, marker, zone and geological data already loaded in the project.
Cross-plots
Understand relationships between data
Compare logs, XY data and marker attributes in interactive cross-plots. Apply regression formulas, statistical expressions and filtering to identify trends and relationships.
Histograms
Explore distributions
Analyse log values and geological data using histograms, normalisation, PDF and CDF displays, and statistical indicators including P10, P50 and P90.
Spatial & structural statistics
Analyse continuity and orientation
Use variograms to evaluate spatial continuity and stereonets to investigate geological orientations and structural measurements.
Filtering
Focus on the data that matters
Filter data by polygons, depth intervals, markers and interpretation criteria before analysing or mapping the selected population.
Workflow
Six steps from well data to geological interpretation.
1
Load and QC the wells
Load wellheads, trajectories, logs, markers and supporting well data and check their position, units and depth references.
2
Build the section
Select wells on the Location Map or from the Data Manager and create a multi-well correlation section.
3
Configure the display
Add tracks and curves, define units, scales, colours and fills, and save the arrangement as a reusable template.
4
Correlate markers and zones
Interpret stratigraphic markers across wells, flatten on selected boundaries and use neighbouring wells to validate the correlation.
5
Analyse the interpretation
Use cross-plots, histograms, variograms and stereonets to investigate relationships, distributions and geological trends.
6
Create and edit maps
Turn interpreted markers, zones and attributes into structural, attribute, isopach, isochore and other geological maps, then edit and export the results.
Well data
One well object, all its connected data.
Wells remain part of the same project throughout interpretation, analysis and mapping. Headers, trajectories, logs, markers, zones and supporting data stay connected and available across relevant views and workflows.
What a well carries
Everything a Wells folder can hold
Headers
UWI, name, company, type, status, surface coordinates, completion date, total depth and elevation information.
Trajectory
Inclinometry data including MD, inclination and azimuth, with X, Y, TVD and TVDSS available along the well path.
Logs
Continuous and discrete log curves with configurable colours, fills, scales and visualisation styles.
Markers & zones
Interpreted markers, marker sets, ages, attributes and stratigraphic zones.
Specialised well data
Core images, scanned raster logs, comments, dipmeter/FMI-related displays and other depth-positioned geological information.
Derived data
Calculated curves and attributes generated during interpretation and analysis.
Getting data in and out
Import, export and the housekeeping around them
Logs
Load LAS files directly, or use the Log Loading Wizard for anything that needs mapping; LAS export writes them back out.
Tables
Headers, markers, checkshots, inclinometry and comments each import and export as text from the Wells bar.
Industry sources
Well headers and data from WITSML, PRODML, the OSDU data model, IHS 297 fixed files and Petrel header exports.
Rasters
PNG, JPG, BMP and XPM strips, one at a time in the raster wizard or in bulk from XML manifests that carry the depth calibration.
Shared projects
On a database-backed project, wells, checkshots, LAS files and marker sets are received and committed under your permissions.
Stratigraphy
A stratigraphic scheme is loaded from XML or from the built-in default set, and palettes carry colour through to the curves and interpreted classes.
Views and tools in this group
The workspace pieces this topic is built from
Well correlation view
Well sections
Wells data workspace
Wells bar
Markers & zones
Well templates
Colormap manager
Arbitrary lines
Extract seismic trace
Marker attributes calculator
More g-Space capabilities
Your geological interpretation stays connected.
Wells, markers, zones, calculated attributes and maps remain part of the same g-Space project. Start with well interpretation and mapping, then use the same project data in Structural, Petrophysical, Geophysical or Reservoir Interpretation when those capabilities are required.
FAQ
Questions, answered.
What well data can g-Space hold and display?
A well folder holds well headers, inclinometry, log curves loaded from LAS files, markers, checkshots, depth-located comments and scanned raster logs. The correlation view draws all of them together: continuous and discrete curves, point data, comment logs, marker lines, zones and raster strips. Loading routes include LAS files and the Log Loading Wizard, checkshot and header tables, inclinometry, and imports from WITSML, PRODML, OSDU, IHS 297 and Petrel well headers.
How is a marker correlated across a set of wells?
Right-click a track at the depth you want and pick the marker from the Add Markers submenu, or create a new global marker there. That marker becomes the active one: the cursor carries its name in its own colour, and a single left-click on any other well places the same marker at the clicked depth. One click per well correlates it across the whole section, and an existing pick is moved by dragging its line.
Can a correlation display be saved and reused?
Yes. Right-click the well name and choose Save Template to store the whole set-up — tracks, curve settings, axes, marker visibility. Apply Template puts it back on any well section or single-well log view, the Data Manager offers Select template on a well section, and the Templates section of the Wells bar renames or deletes saved templates. Views also keep their current state when you switch away and return, and the project saves it.
What statistical tools are available for geological interpretation?
g-Space provides cross-plots, histograms, regression and statistical expressions, PDF/CDF analysis, percentile statistics, stereonets and variograms. Data can be filtered by depth, markers, zones and spatial criteria before analysis.
What maps can I create from interpreted data?
Geological Interpretation supports structural, attribute, property, isopach and isochore maps, with multiple interpolation methods, interactive editing, map calculations and configurable layouts for export.
Get started
Put your own geological data to work.
Load your wells, correlate the field, analyse geological trends and build your first maps in g-Space.