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How to Optimize Gas Processing & Facility Throughput

Embedded process simulation provides real-time insights into fluid composition changes so control strategy can be adapted to prevent shutdowns.

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By Zayn Aladin, ETO Packaged Solutions Specialist, Sensia

A drop of liquid. An ice formation. So small, yet potentially costly and damaging to gas facilities and pipeline operations. These hydrates and unwanted liquids can clog pipes, reduce process flow and damage equipment.

Gas processing technologies depend on understanding the “phase envelope” of the process fluid to operate efficiently and safely. Process engineers implement their designs to manage the worst-anticipated phase envelope, normally resulting in less-than-optimal throughput and using more energy than needed for typical or normal operating conditions.

Most plant or pipeline operators adjust controls well before hydrates form. This can involve injecting chemicals, increasing the temperature of the gas with heaters, reducing temperatures, or operating well below the design capacity. The first three methods increase the operational cost and indirectly reduce throughput, while the latter directly reduces throughput. Consequently, opportunities to improve yield and efficiency dissipate.

In an industry marked by falling budgets for capital and operational expenditures, dealing with these challenges requires intricate calculations and real-time control actions.

Increasing Throughput and Reliability

Until recently, there was no solution for the control system to adjust operations based on real-time conditions. In the past, process engineers used desktop-based spreadsheets to simulate processing fluids, sharing them with control engineers for implementation. While these calculations ensured safe plant operation within expected composition ranges, they focused on worst-case scenarios.

With the development of intelligent throughput optimization (TOp), that simulation capability now can be done in real-time preventing reliability issues, increasing throughput and reducing energy usage. The solution provides insights as fluid composition changes so the control strategy can be adapted to that change.

Figure 1 illustrates two critical curves for an acid gas dehydration skid: the hydrate curve and the phase envelope. If the operating point falls to the left of the red curve, hydrates may form, but if it's on the right, problematic operating conditions can be avoided. The phase envelope, represented by the yellow and blue curve, indicates where the process operates in the Vapour-Liquid-Equilibrium space.

Throughput optimization's real-time visualization of these curves allows operators to adjust settings, preventing hydrate formation and liquid drop-out. This can be done directly through closed-loop control or as guidance via a human-machine interface (HMI), giving operators the confidence to fine-tune their control systems.

Split screen view of acid gas dehydration skid process on the left and real-time phase and hydrate data on right

Figure 1. This HMI interface of a Canadian acid gas dehydration skid manufacturer depicts the process on the left, while the right displays real-time phase and hydrate data. [Click to Enlarge]

How Throughput Optimization Works

Throughput optimization integrates the process simulation engine into a ControlLogix® system, facilitating fluid processing optimization to prevent plant shutdowns. It connects via a high-speed backplane, eliminating the need for internet, Modbus™, or OPC®, streamlining optimization layers for increased speed and efficiency.

TOp addresses phase changes and hydrate/ice formation issues through automated tuning control. It helps operators to control and optimize processes seamlessly based on real-time conditions and composition.

Case Study #1: Acid Gas Dehydration Skid Manufacturer

Figure 1 depicts the HMI interface for a Canadian acid gas dehydration skid displaying the process on the left and real-time phase and hydrate data on the right. It has an incoming stream of natural gas containing water and carbon dioxide. Methanol injection was used in the incoming natural gas stream, which contained water and carbon dioxide, as a preventive measure against potential hydrate formation.

Screenshot of throughput optimization software at a shallow gas plant

Figure 2. Throughput optimization at a shallow gas plant enhanced operational flexibility. [Click to Enlarge]

TOp can detect hydrate formation potential and optimize methanol injection as needed. In the specific case study, TOp saved the customer over $250,000 in methanol costs.

Case Study #2: Shallow Cut Gas Plant Optimization

Figure 2 presents a shallow gas plant recovering both natural gas and natural gas liquids. TOp enhances operational flexibility, allowing optimization for either product depending on market conditions, thereby increasing profitability.

TOp dynamically determines optimal operating points based on composition and flow rates, with the ability to make automatic adjustments or alert operators through the HMI. Furthermore, it provides real-time information on water content in each stream and hydrate formation temperature.

Real-Time Insights & Cost Management

Leveraging real-time phase envelope insights empowers producers to enhance throughput, reliability, and environmental sustainability by reducing energy consumption and emissions.

As gas pipeline and facilities operations face mounting demands to increase throughput and reliability, producers are looking for pragmatic, cost-effective ways to improve production and efficiency. By using real-time automated tuning control solutions, producers can more effectively control processing fluids while mitigating risks to processes, equipment and personnel.

As a result, producers can maximize capacity use and better maintain operational safety and total costs.

 

 

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The Journal From Rockwell Automation and Our PartnerNetwork™ is published by Endeavor Business Media.

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