input_file_skill

Patch specific keyword blocks in an OPM Flow DATA file by parsing the structure and applying natural language modifications to target sections. This preserves the rest of the file while returning updated simulation inputs with precise changes.

Edit reservoir simulation input files using natural language instructions to modify or patch specific keyword blocks. The parser identifies file sections and applies changes while preserving unaffected content.

Modify WCONINJE or WELLDIMS blocks without rewriting the entire simulator input file by targeting specific keyword blocks for patching. This approach preserves surrounding data and ensures rapid, auditable adjustments to simulation inputs.

Parsing OPM DATA files helps reservoir-simulation workflows by identifying sections and structure to streamline modifications. This reduces manual editing and errors when updating specific keyword blocks.

The input file parser provides error handling for missing files or invalid syntax during the OPM DATA file modification process. This ensures reliable patching of keyword blocks when adjusting simulation inputs.

Python dependencies including langchain_core, pydantic, and llm_provider are required to parse and modify OPM Flow DATA files. These support the natural language processing used for patching specific keyword blocks.