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Maximizing profits of LNG midstream operations

With three key steps

Olav Naerland / December 02, 2020

Since the beginning of the century, the LNG market has seen a rapid change, owing especially to a surge in its demand.

Industry forecasts show that new projects will have a lower share of capacity on longer-term contracts, thus leading to a rise in the number of shorter-term and lower-volume contracts. The result is that companies are faced with larger and even more complex distribution planning problems involving significant uncertainty.

This creates a need for an advanced decision support solution to quickly create plans that maximize profit by optimal utilization of fleet capacity to fulfil contractual commitments and take advantage of market opportunities. Such solutions need to ensure an optimal portfolio wide offtake and dispatch schedules by creating robust plans contributing not only to a planned profit, but also a realized increased profitability with minimized need for sourcing of third-party cargoes, vessel chartering etc.

Let’s outline three key steps towards achieving an optimal LNG Cargo Management solution.


Step 1: Implement KPI-driven planning
Manual planning, as well as algorithms, should be governed by configurable KPIs and operational constraints. For planners, KPIs should be displayed and easy to compare for multiple scenarios. Highlighting constraint breaches make the planner aware of any violations. This also helps bridge the gap between planner and algorithm, which in many cases can be a big challenge.


Step 2: Manage spot market opportunities
The solution should be capable of managing opportunities in the spot market and include any scenario to evaluate the effect on the plan and profitability if incorporated. This can either be done manually or automatically, assigned by algorithms.


Step 3: Maintain transparency
Make plans, data and assumptions transparent to all stakeholders, reducing friction and time wasting, caused by multiple versions of data and assumptions held by different stakeholders. This enables managers and planners to consistently make quicker and better decisions maximizing the profit of the operations.

Leveraging these traits, TietoEVRY Oil & Gas, through EC (Energy Components solution), have created an integrated LNG Cargo Management system, this through collaboration with and implemented by several midstream organizations globally. The system is used before, during and after the negotiation process to create an optimized ADP (annual delivery programme). This ADP is used as the basis for achieving the short-term planning process. During these processes the management and planners are supported by easy-to use EC graphical user-interface and powerful optimization algorithms.

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About Energy Components (EC)

Energy Components (EC) has been TietoEVRY’s flagship solution for the oil and gas industry since more than three decades. EC is an integrated hydrocarbon management solution which strengthens upstream and midstream businesses by offering fully-integrated functionalities to support hydrocarbon accounting, integrated asset modeling, optimization, forecasting and decision support.

With the experience of installing 600+ licenses in close to 55 countries worldwide, a significant percentage of the world’s production of hydrocarbons is today managed with EC, making it a world-leading solution in this domain.


TietoEVRY has developed the EC product suite in close collaboration with leading companies in the oil and gas industry. Today, more than 100 global oil and gas companies, including all super-majors, are using EC as an industry-standard solution.

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Olav Naerland
Director-Solution Marketing, Oil & Gas, TietoEVRY

Olav leads the solution marketing capabilities of the EC product suite namely EC Upstream Management and EC Midstream Management, that enables oil and gas companies to optimize portfolio-wide ADP and SDS and helps to efficiently plan large and complex pipeline distribution networks respectively.

Author

Olav Naerland

Director-Solution Marketing, Oil & Gas, TietoEVRY

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