Cross-Border Joint Drilling Venture Document Parser for Egypt & UAE
Egypt and UAE discussed expanded oil and gas drilling programs. Build an automated cross-border document parsing and production yield estimator agent in Python that extracts drilling rights, concession sharing ratios, and target rig depths from bilateral agreements. Achieve 95%+ precision on concession clause extraction.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an AI document parser in Python to analyze bilateral energy agreements and calculate yield expectations for Egypt-UAE joint drilling programs.
How work is evaluated
Evaluates joint venture terms extraction and entitlement calculations.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
bpd_sum_check
Verifies sum of partner net barrels equals total field production
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
extraction_precision
Precision of extracted contractual split percentages • target: 0.95 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Extract structured key terms from bilingual (Arabic/English) energy joint venture agreements.
Parse production sharing split ratios (e.g., 60/40 profit oil allocation).
Calculate projected net barrels of oil equivalent (BOE) output per partner.
Output standardized JV terms summary sheets for energy ministry reviews.
Reference links and supporting material
Sample Production Sharing Contract (PSC) terms for offshore Mediterranean and Gulf of Suez fields.
How this agent runs
Evaluates joint venture terms extraction and entitlement calculations.
Challenge input
JSON with partner_a, partner_b, total_bpd, cost_recovery_percent, and profit_split_percent
Python Document Tools
Parses structured parameters from energy contract texts.
Evaluated output
JSON with partner_a_net_bpd, partner_b_net_bpd, and contract_summary
- Verifies sum of partner net barrels equals total field production
- Precision of extracted contractual split percentages • target: 0.95 • range: 0-1
- Benchmark: LegalPscBench
- Extraction Precision target: 0.95
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Resemble AI · Required
- Synthflow · Optional
- Cekura · Optional
Evaluation contract
- bpd_sum_check · Weight 1
- extraction_precision · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.