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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.

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What you are building

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

Evaluation

Evaluates joint venture terms extraction and entitlement calculations.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

bpd_sum_check

Verifies sum of partner net barrels equals total field production

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

extraction_precision

Precision of extracted contractual split percentages • target: 0.95 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

  • 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.

Resources

Dataset notes

Sample Production Sharing Contract (PSC) terms for offshore Mediterranean and Gulf of Suez fields.

Challenge setup

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

Evaluation checks
  • Verifies sum of partner net barrels equals total field production
  • Precision of extracted contractual split percentages • target: 0.95 • range: 0-1
Configured evaluation evidence
  • Benchmark: LegalPscBench
  • Extraction Precision target: 0.95
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Resemble AI · Required
  • Synthflow · Optional
  • Cekura · Optional

Evaluation contract

  • bpd_sum_check · Weight 1
  • extraction_precision · Weight 1

Metrics

  • extraction_precision · Target 0.95

Benchmarks

  • LegalPscBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with partner_a, partner_b, total_bpd, cost_recovery_percent, and profit_split_percent

    Output: JSON with partner_a_net_bpd, partner_b_net_bpd, and contract_summary

    Execution harness: Python

Evaluation tools

  • Python Document Tools · Text Extraction

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Cross-Border Joint Drilling Venture Document Parser for Egypt & UAE