bsee-data-extractor-data-models

This skill performs decline curve analysis to forecast oil and gas well production and estimate ultimate recovery (EUR). It fits Arps models, generates type curves, and supports probabilistic outputs for reserve calculations. Use it for production forecasting, reserve estimation, and field development planning in energy applications.

This sub-skill provides YAML configuration templates for structuring queries to extract BSEE oil and gas data. It supports multiple query types (by block, API, lease, field, or area) across different datasets including WAR and APD. Developers use it to define structured parameters for targeted data extraction from BSEE systems.

This example skill demonstrates single well analysis using the BSEE data extractor library. It shows developers how to query production data for a specific well by API number, extract key metrics like cumulative oil/gas, and generate an HTML report. Use this reference when you need to implement individual well analysis workflows with cached data and automated reporting.

This skill provides data caching and optimization strategies for the BSEE data extractor. It enables efficient querying with local caching, year-range filtering, and organized file structures. Use it to reduce repeated downloads and manage memory when working with large BSEE energy datasets.