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PetroLogic System · Educational & Corporate Operations Simulation

PetroLogic
System

A browser-based PetroLogic System simulation putting teams inside high-stakes pipeline operations and crisis management scenarios — forcing real-time decisions under time pressure with deterministic scoring, analytics, and debriefing.

5 / 8 / 12
Simulation rounds
4
Competing teams (1 + 3 Bots)
2
Native languages (EN / AR)
100%
Seeded deterministic replays

What it is

Decision-making under pressure, built for universities & enterprise training.

PetroLogic is a facilitator-led applied simulation designed for university business & engineering courses and corporate operations training. Participants are split into competing teams placed inside a simulated pipeline management scenario. Each round fires operational events — leaks, budget overruns, supply disruptions, and equipment degradation — requiring teams to make critical resource allocation and risk management choices.

The facilitator controls session pacing via a live projector view showing real-time team standings. When all rounds conclude, the debrief view unlocks — surfacing team performance curves, cumulative score breakdowns, risk/asset canvas charts, and exportable PDF reports for structured reflection. Built native bilingual (EN/AR) with LTI 1.3 LMS support for Moodle and Canvas.

Universities & Business Schools

Designed for business ethics, operations research, and project management courses (e.g. AUC, Nile University, TNU, GUC, AASTMT).

Industrial & Energy Academies

Tailored for technical training centers and corporate academies (e.g. Elsewedy Technical Academy, Ghabbour Foundation) for high-stakes crisis response.

Simulation Physics

Rigorous operational physics & business rules.

Every choice feeds a pure mathematical model governing equipment degradation, logistic incident probability, financial liquidity, and market shocks.

Physics Engine

Nonlinear Equipment Decay & Overdrive

Equipment Condition (EC) decays based on seasonal weather load, maintenance funding, and production overdrive above 90% capacity. Neglect compounds exponentially over 3-4 rounds.

Risk Modeling

Logistic Incident Risk (R Index)

Multi-factor risk index combining equipment state (30%), safety condition (30%), crew training (15%), weather (10%), and morale. Incident probability follows a steep logistic curve centered at R=70.

Financial Engine

Credit Lines, Debt & Receivership

Teams navigate an automatic 50 mEGP credit line and tiered debt financing. Overdrawing past credit limits forces receivership, permanently capping spending by 50% and capping production.

Insurance & Risk Transfer

Tiered Policies & Blowout Penalties

Basic (70%) and Full (90%) insurance coverages. Catastrophic blowouts incur permanent 3x premium hikes and bar teams from acquiring new Full coverage after a fatality.

Capital Expansion

Rig Auction & Dual Operations

Mid-campaign auction allowing teams to bid for a second operating rig, scaling production capacity while doubling variable OpEx and maintenance demands.

Macro Environment

FX Shocks, Audits & Labor Walkouts

Dynamic market events including FX devaluations inflating repair costs by 20%, regulatory safety audits, and round 7 union walkouts for below-market wages.

AI Opponents

Parametric bot archetypes.

Every campaign pairs the player team against three distinct bot archetypes derived from disjoint parametric bands (aggression, discipline, leverage), ensuring unique hands every session.

High Risk / High Leverage

Reckless Bot

Maximizes production overdrive and cuts maintenance/safety budgets to maximize short-term cash flow. Serves as the ultimate stress test for incident mechanics.

Benchmark Competitor

Balanced Bot

Maintains disciplined reinvestment in safety and equipment while adjusting production to market demand. Represents steady commercial operation.

Risk-Averse Preservation

Cautious Bot

Over-indexes on maintenance, safety drills, and full insurance policies while avoiding debt. Demonstrates slow, steady capital preservation.

Platform Features

Built for classroom & enterprise execution.

01

Team Decision View

Interactive round-by-round control panel for budget allocation (maintenance, safety, training, pollution), production overdrive, credit line leverage, and insurance policies.

02

Facilitator Projector View

Distraction-free broadcast panel designed for classroom wall projection showing live standings across all competing teams, current weather/event curves, and round timing.

03

Multi-Round Engine

Pure, stateful simulation engine supporting 5, 8, or 12 sequential rounds with dynamic equipment decay, logistic incident risk, and financial receivership rules.

04

Debrief Analytics & Replay

Post-game AAR surfaces per-team performance curves, risk/asset canvas charts, comparative ranking tables, session PDF exports, and counterfactual replays.

05

Bilingual & Native RTL

Full English / Arabic toggle with Arabic-safe typography and native RTL CSS logical layouts — built natively for Egyptian and Gulf university audiences.

06

LMS & Moodle Integration

Built-in support for LTI 1.3 (LtiAdvantage) and xAPI standards, multi-tenant university workspace isolation, and direct instructor gradebook sync.

07

Seeded Deterministic Engine

Seeded Marsaglia RNG with isolated subsystem streams ensures 100% reproducible session replays for academic grading and research verification.

08

Monte Carlo Balance Gate

Automated 200+ seed balance harness validating bot archetype competitive equilibrium and economic stability on every code commit.

04Tech stack

Built on an enterprise simulation stack.

Server framework.NET 10 & ASP.NET Core
Programming languagesC# 14 & TypeScript
FrontendAngular 17 (Signals)
Real-time communicationSignalR WebSockets
Database & CachePostgreSQL & Redis
LMS standardsLTI 1.3 & xAPI (Moodle / Canvas)
InfrastructureDocker (Cloud & On-Prem)
Quality GateMonte Carlo Balance Harness

05About

Who's building this?

FH

Fahmy Hassan

Founder & Systems Architect

BEENIAN Labs combines deep production experience in reliable, high-throughput systems with active AI research — bringing graduate-level machine learning expertise from CU Boulder directly into client engagements.

Our work is anchored in practical rigor: systems that are explainable, durable, and maintainable. We transfer that depth to client teams through mentorship and knowledge-sharing, because software that outlasts the engagement requires people who understand it.

LA

Learning & Domain Advisors

Academic & Operations Partners

Co-developed alongside learning designers and business ethics faculty to align simulation mechanics with university course curricula and accredited technical training programs.

Interested in running PetroLogic with your team or university?

PetroLogic System is actively partnering with university faculties and enterprise academies for pilot semesters and customized simulation scenarios.

Get in touch for a pilot →