Dual porosity models reads data for completion calculations from the Fracture part of the grid model. The generated completion data contains references to IJK cells in the fracture section of the grid.
ICD valves now produce WSEGVALV and AICD valves now produce WSEGAICD
in the generated schedule. Three root causes were fixed:
- Create per-event valve templates with proper parameters instead of
reusing default templates that lack orifice diameter and AICD fields
- Use perforation interval range for ICD/AICD valve positioning so
valveLocations() returns non-empty results for the accumulator
- Add 5 AICD parameter fields to the Python API and event classes
Tubing event diameter/roughness values were leaking into earlier date
sections in the generated schedule. The WELSEGS collection functions
did not filter intervals by export date, unlike COMPSEGS and other
keywords which already received the exportDate parameter.
Thread exportDate through collectWelsegsData, collectWelsegsDataRecursively,
and collectWelsegsSegment. Add date-aware overloads of getDiameterAtMD and
getRoughnessAtMD that use isActiveOnDate to filter intervals. Update test
to verify tubing values only appear at their scheduled dates.
Implement timeline-based event system for managing temporal changes in
well completions, perforations, valves, and production controls.
Features:
- Event timeline container with date-based querying
- Six event types: PERF, VALVE, TUBING, WSTATE, WTYPE, WCONTROL
- Schedule keyword generation (DATES, COMPDAT, WELSEGS, WCONPROD, WCONINJE)
- Multi-well schedule generation support
- Python GRPC API for event management
- YAML configuration file support
- Comprehensive test suite
Implementation:
- New directory: ApplicationLibCode/ProjectDataModel/WellEvents/
- Event classes inherit from RimWellEvent base class
- RimWellEventTimeline integrated into RimWellPath
- RicScheduleDataGenerator for multi-well schedule export
- Python API: event_timeline(), add_perf_event(), add_valve_event(), etc.
- Tests verify all event types and YAML config parsing
#13425 Add date tracking to valves and diameter/roughness intervals
Add creation date fields to RimWellPathValve and RimDiameterRoughnessInterval
to support filtering objects by date during completion data export.
- Add m_useCustomStartDate and m_startDate fields
- Add enableCustomStartDate(), setCustomStartDate(), isActiveOnDate() methods
- Set creation dates when applying valve and tubing events in RimWellEventTimeline
#13425 Add date-based filtering for schedule data export
Add optional export date parameter to MSW data collection functions to filter
valves and perforations based on their creation dates during schedule export.
- Add exportDate parameter to collectWsegvalvData, collectWsegAicdData,
collectWsegSicdData, and collectCompsegData functions
- Filter valves by checking isActiveOnDate() on the associated RimWellPathValve
- Add RimPerforationInterval reference to RicMswPerforation for date filtering
- Pass export date from RicScheduleDataGenerator through the extraction chain
This ensures segment numbers reflect the full model while only including
objects active on the export date in output keywords.
Add test to prove compsegs changes over time.
#13425 Fix mypy type checking errors in well_events.py
- Add type annotations to all function parameters
- Fix generic type hints (dict -> Dict[str, Any])
- Import Any type for proper type safety
- Add type: ignore for method reassignment
- All 31 tests pass
#13425 Add schedule-level keyword events for non-well-specific keywords
Add a new event type called "Keyword Event" for schedule-level Eclipse
keywords (RPTRST, GRUPTREE, RPTSCHED, etc.) that are NOT tied to a
specific well path. This complements the existing RimWellEventKeyword
which operates at the well level.
- Add RimKeywordEvent class inheriting from RimWellEvent with null wellPath
- Add SCHEDULE_KEYWORD enum value to EventType
- Add addKeywordEvent() method to RimWellEventTimeline
- Add AddKeywordEvent Python API method to RimcWellEventTimeline
- Update RicScheduleDataGenerator to output global keywords after well sections
- Add Python wrapper add_keyword_event() with type inference
- Add tests and examples for RPTRST, GRUPTREE keywords
- Remove unused imports in test files
- Fix bare except clause to use except Exception
- Fix None comparisons to use 'is not None' / 'is None'
- Remove unused variable assignments
- Add noqa comments for intentional patterns (star imports, method
redefinition for different classes, import after sys.path modification)
- Apply ruff formatting
Enhanced parsing in PdmFieldScriptingCapabilityIOHandler to correctly handle backslashes and escape sequences in both quoted and unquoted strings. Unquoted Windows paths now preserve backslashes, while quoted strings process escape sequences as expected. Added unit tests to verify correct handling of both cases.
Add tests for Windows-style path handling in rips API
Introduce test_windows_paths.py with two pytest tests to verify correct handling of Windows-style file paths (backslashes) in the rips Python API.
Implements automatic state restoration when field validation fails during
update(). The Python object now maintains consistency with the server state
by rolling back to the last known valid values.
- Store protobuf snapshot before update attempt
- Restore both protobuf object and Python attributes on validation failure
- Add test_validation_rollback() to verify rollback behavior
- Update bool validation test to assert automatic rollback
- Provides transaction-like semantics for field updates
- Implemented strict parsing in 'writeToField' handlers to reject values with trailing garbage (e.g. '100.5test' for double, '0.99' for int/enum).
- Improved 'AppEnum' validation error message to list all valid options when an invalid value is provided.
- Added new test file 'test_validation_types_issue_12940.py' verifying strict type validation for double, int, and enum fields.
Implements comprehensive type and range validation to prevent invalid data
from being set via Python GRPC interface. Invalid values are rejected with
clear error messages. Uses two-phase commit pattern to ensure atomic updates
where either all fields update or none do.
Validation Features:
- Type validation: Ensures field value types match (parsing errors caught)
- Range validation: Checks values against min/max constraints defined with
setRange(), setMinValue(), setMaxValue()
- Object validation: Validates cross-field constraints via validate() override
- Atomic updates: Two-phase commit ensures all-or-nothing semantics
- Rollback on error: Failed validation leaves ALL fields at previous values
- Clear error messages: Aggregates and returns all validation failures
Implementation:
- Use std::expected<void, QString> for type-safe error handling (C++23)
- assignFieldValue(): Validates after parsing, rolls back individual field on error
- copyPdmObjectFromRipsToCaf(): Two-phase commit pattern
- Phase 1: Validate all fields and collect changes (defer UI notifications)
- Phase 2: If any validation fails, rollback all fields; otherwise commit all
- UpdateExistingPdmObject(): Returns grpc::INVALID_ARGUMENT with validation details
Testing:
- Comprehensive Python tests demonstrating validation behavior
- Test atomic rollback: multiple fields rolled back when one fails
- No regression in existing functionality
Documentation:
- Added validation documentation to CLAUDE.md with examples
- Explains how to set field ranges and handle validation errors in Python
Built on validation infrastructure from commit f342ca77 (PdmFieldHandle and
PdmObjectHandle validation support).
- Introduce RimRegularFileSurface::propertyName() as canonical property key for file-based surfaces.
- Change RimRegularSurface::setPropertyAsDepth() to void and remove existence check; error handling is now in updateSurfaceData().
- Update all usages to match new setPropertyAsDepth() behavior.
- Log and handle missing depth property in updateSurfaceData().
- Update tests to reflect new error handling approach.
- Minor includes and logging improvements.
* Add alias editing to UI
* Enable result aliases for both eclipse and roff results
* Update python script to work on Windows
* Add Python interface for result aliases
* Add python test
Add Python GRPC interface support for creating and managing custom segment
intervals for multi-segment wells. This provides API parity with the existing
GUI functionality.
Changes:
- Add createInterval() method to RimCustomSegmentIntervalCollection
- Add GRPC method addCustomSegmentInterval to RimcWellPathCompletionSettings
- Add validation to prevent creating intervals with start_md >= end_md
- Add Python test test_custom_segment_intervals.py with validation test
- Add usage example to modeled_well_path.py
Follows the pattern established by diameter roughness intervals.
Fixes#13398.
The set_summary_values() Python API method now provides clear error
messages when validation fails instead of failing silently.
Changes:
- Add keyword length validation (8-character SMSPEC format limit)
- Add value vector size validation with informative messages
- Add test cases for both validation scenarios
- Update existing test to expect exceptions for invalid inputs
Fixes#12199.
* Configures automated spell checking with codespell
Adds GitHub workflows and configuration files for automated spell checking using `codespell`.
This includes:
- A workflow for checking pull requests and preventing new typos
- A workflow for automatically fixing typos in the main codebase
- Configuration files for `codespell` to ignore specific terms and file types
- Documentation on how to use and configure the spell checking workflows.
* Corrects minor spelling and grammar errors.
Introduces tests for well completion exports, validating both unified and split-by-well file formats, enhancing the
reliability of this functionality.
Includes a normalization function to exclude file paths and headers from comparisons, focusing on relevant completion data.
Updates test models with completion export reference files.
* Updates well path connection logic.
Refactors well path connection to ensure tie-in location is updated correctly after connecting to a parent well. This ensures the visualization and data consistency are maintained.
* Updates connected editors after target manipulation
Ensures that connected editors are updated whenever the target is manipulated through the 3D manipulator.
* #12613 Adds functionality to append lateral well paths
- Updated Python API to accept measured_depth list and channel_data dictionary
- Modified C++ GRPC implementation to handle CSV-formatted channel mappings
- Replaced single values parameter with dictionary of channels
- Added comprehensive validation for all input parameters
- Updated parameter name from channel_keys_json to channel_keys_csv
- Enhanced tests to cover 16 different scenarios including edge cases
- Updated example to demonstrate new dictionary-based API functionality
Implement comprehensive Python API for importing well log data into ResInsight
well paths using lists of float values.
Core implementation:
- RigImportedWellLogData: Data storage class inheriting from RigWellLogData
- RimImportedWellLog: Scriptable model class for Python GRPC interface
- RimcWellPath_addWellLogInternal: GRPC method using key-value store for data transfer
- well_path.add_well_log(): Python API with validation and error handling
Features:
- Simple API: well_path.add_well_log(name='LogName', values=[1.0, 2.0, 3.0])
- Comprehensive input validation and type checking
- Efficient data transfer via key-value store mechanism
- Proper error handling with cleanup on failure
- Integration with existing well path functionality
Testing:
- 10 comprehensive unit tests covering all functionality
- Validation of input types, error conditions, and edge cases
- Integration testing with well path creation
Usage example included in PythonExamples directory demonstrating
import of gamma ray, porosity, and permeability log data.
- Updated C++ GRPC interface method names and class names
- Renamed Python method in well_path_collection.py
- Updated all test functions and file names
- Renamed example file to match new method name
- All tests pass with the new method name
The method signature and functionality remain unchanged - only the name
has been updated to be more descriptive.
Add import_fixed_trajectory_well_path() method to WellPathCollection that enables
creation of well paths from coordinate lists in Python. Implements feature request
for programmatic well path creation without file-based imports.
- Add RimFixedTrajectoryWellPath class for coordinate-based well paths
- Add GRPC interface for coordinate data transfer via key-value store
- Add comprehensive Python API with input validation and error handling
- Add example script importing well on Norne.
- Add 7 unit tests covering all functionality and edge cases
The API allows creating well paths like:
well_path = collection.import_fixed_trajectory_well_path(
name="MyWell",
coordinates=[[x1,y1,z1], [x2,y2,z2], ...]
)
Implements interval-based diameter and roughness configuration for MSW completions
while maintaining backward compatibility with existing single-value approach.
- Add RimDiameterRoughnessInterval class for individual MD intervals
- Add RimDiameterRoughnessIntervalCollection for managing interval collections
- Extend RimMswCompletionParameters with interval-specific mode support
- Support both metric and field unit systems
- Provide validation and overlap detection for intervals
* Add support for getting the perforation length of a well from Python
* Fix issue with sub grid pointers in LGR grids when using active cell opm reader
- Add RimcValveTemplateCollection GRPC command with add_template method
- Support ICD, ICV, and AICD valve types with custom parameters
- Add setter methods for orifice diameter and flow coefficient
- Include Python tests and example demonstrating usage
- API: valve_templates.add_template(completion_type='AICD', orifice_diameter=7.3, flow_coefficient=0.2)
Magne Sjaastad
Kristian Bendiksen
JJ
magnesj
jonjenssen