Extract and validate black-oil properties from PVT laboratory reports.
npx skills add https://github.com/jpfielding/claude.pnge --skill pvt-report-review
Please help me install this Agent Skill. Skill: pvt-report-review Source: https://github.com/jpfielding/claude.pnge/tree/main/skills/pvt-report-review Command: npx skills add https://github.com/jpfielding/claude.pnge --skill pvt-report-review
This Skill automates the extraction of crucial engineering data from various PVT laboratory reports, transforming raw lab data into usable inputs for simulations and analyses.
Use the pvt-report-review skill to extract bubble point and Rs from the attached differential liberation test report.
High-intent search queries and answers about installing and using this skill.
To extract black oil properties like bubble point and Rs from a PVT lab report, you can use an automated data extraction tool that parses local PDF or spreadsheet files. It identifies key fluid descriptors and test conditions from differential liberation and separator tests to provide usable simulation inputs.
Validating PVT data for unit consistency and monotonicity involves checking extracted tables from CCE and CVD tests against expected physical behavior. An automated review tool can flag common report problems, ensuring the fluid properties are reliable before being used in reservoir simulation.
Yes, you can extract dewpoint and condensate dropout behavior from CVD test reports in spreadsheet format. The extraction process parses local spreadsheet files to identify fluid descriptors and validate the depletion data for use in nodal analysis.
Yes, this PVT extraction approach works with both PDF and spreadsheet formats. It reviews local laboratory report files to identify key black-oil properties such as Bo, Bg, and shrinkage, transforming raw lab data into validated inputs for reservoir simulation.
To prepare PVT lab data for reservoir simulation and nodal analysis, extract and validate key fluid properties from CCE, CVD, and separator tests. This process flags missing information and unit errors, recommending clean values for direct input into your simulation models.
Extracted PVT report data may show inconsistent shrinkage or Bo values due to unit errors or non-monotonic tables within the raw laboratory report. Automated quality control checks can identify these common report problems and flag them for review before simulation.
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