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REVOLUTIONIZING THE
OIL & GAS INDUSTRY
WITH DIGITAL TWINS

V2T EFFECTIVELY MANAGES:

Variable Manufacturing  Rates​

Profit Calculations​

Multiple Petroleum Products​

Supply & Customer Locations​

Depots

Network Travel Times​

Owned & Charted Vessels & Costs

Variable Vessel Compartments​

Customer Demand Ranges​

Schedule Simulation​

Find out why our biggest clients are using V2T's Digital Twin, AI & Simulation Technology to optimize their supply chain:

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OIL & GAS SUPPLY CHAIN OPTIMIZATION DIGITAL TWIN

We have tackled one of the toughest challenges in the Oil & Gas industry. Our AI-driven digital twin solution is designed to create super optimized schedules for petroleum product supply chains, ensuring maximum profit and efficiency on a global scale.

THE PROBLEM

The global product supply chain network for petroleum products in the oil and gas industry presents a highly complex optimization challenge. This intricate problem involves coordinating the movement of various petroleum products from production sites to end consumers across the world, while maximizing profits and adhering to numerous constraints.​

At its core, the problem revolves around efficiently managing the flow of products through a network that includes oil fields, refineries, storage facilities, ports, and distribution centers. The goal is to determine the optimal delivery schedules that maximize overall profitability while satisfying demand and meeting operational constraints.​

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Key factors that contribute to the complexity of this problem:

PRODUCTION RATES

Oil fields and refineries have varying production capacities and rates, which can fluctuate based on maintenance schedules, market demands, and geopolitical factors.​

TRAVEL TIMES

The time required to transport products between different points in the network can be affected by factors such as distance, weather conditions, and geopolitical issues.

CHARTERED VESSELS

The use of chartered vessels adds another layer of complexity, as their availability and terms can change, affecting overall transportation costs and schedules.

DEMAND VARIABILITY

Customer demand for different petroleum products can fluctuate based on seasonal factors, economic conditions, and regional preferences.​

MULTIPLE PRODUCTS

The supply chain must handle various petroleum products with different characteristics, storage requirements, and market values.​

STORAGE COSTS

Petroleum products must be stored at various points in the supply chain, incurring costs that vary by location, product type, and duration.

VESSEL CAPACITIES & COSTS

Different types of vessels (e.g., oil tankers, barges) have varying capacities and associated costs. The fleet composition and availability can significantly impact transportation decisions.

PRICE VOLATILITY

The prices of crude oil and refined products are subject to frequent fluctuations, impacting profit margins and influencing production and distribution decisions.​

REGULATORY CONSTRAINTS

Environmental regulations, import/export restrictions, and safety requirements can limit transportation options and affect costs.​

GLOBAL SCALE

The international nature of the industry introduces additional complexities related to currency exchange rates, trade agreements, and geopolitical risks.​

WHAT IS NEEDED

Optimizing this supply chain requires sophisticated mathematical models and algorithms that can process vast amounts of data and account for these numerous variables and constraints. The goal is to create a robust, adaptable system that can efficiently respond to changes in market conditions, operational disruptions, and demand fluctuations while maximizing overall profitability.​

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We have developed a product that can save hundreds of millions of dollars.

V2T CAN SOLVE THE MOST COMPLEX BUSINESS PROBLEMS

We have solved one of the hardest problems in the Oil & Gas industry.​

AI digital twin solution for global petroleum product supply chains that creates super optimized schedules to maximize profit.​

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PROBLEM-SOLVING

Handles the full complexity of the problem​

INSTANT RESULTS

Produce result in minutes​

INCREASE PROFITS

Maximize profits by millions​ of dollars

EFFICIENT

Reduce planning times​

REAL-TIME OPTIMIZATION

Can respond to changes and re-optmize​

WORLDWIDE

Handles a global network​

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