Khurais HP Gas Compressor Swing Line Control Logic Modification Through Dynamic Simulation Modelling

Khurais central processing Facility is a hydrocarbon plant consists of 5 GOSPs with a stabilizer (i.e oil train), 3 gas plants and power plant with their associated utilities. Each oil train has one HP gas compressor to send the gas from oil trains to gas plant. These compressors is oversized and running each compressor alone results in excessive recycling and wasting energy. In 2018 Khurais introduced a new energy optimization initiative which is swing line that is a common header connects all HP compressors together with the objective of maximizing operating loads in each gas compressor. In doing so, the last compressor can be shut down for as long as the capacity of the other compressors is still adequate to accommodate the extra gas rate from the shutdown compressor.[1] (Refer to Figure 2) Although this approach resulted in maximizing energy efficiency of the facility it introduced a new challenge to the facility which is in case of any trip to a compressor connected to swing line all other connected compressors will trip. Recently Khurais introduce a new philosophy to shift the load from tripped compressors to other compressors through modifying swing line and compressors DCS control logics. This paper covers the swing-line control logic modifications and enhancement followed by Saudi Aramco Khurais producing facility to overcome multiple compressor outages challenge. This paper is aimed to: Share the challenge of multiple compressors trips with swing line operations that occurs if one of the compressors connected to swing line is tripped resulting in 100% of gas flaring. Present dynamic simulation modelling results and new logic modifications implemented for compressor controls to avoid such multiple trips scenario. Present Compressor trips cases before and after implementing the control logic enhancements. Highlight how this approach enhanced compressor's reliability and helped Saudi Aramco to reduce its carbon footprint. In this paper various dynamic simulation modelling graphs that showed the root cause for multiple compressor trips will be presented, evaluation of several control logic and their consequences. This topic will also cover the new proposed logic with zero investment to avoid multiple compressors trip scenario with operations of swing line. Details about behavior of compressor before and after the modification including the reaction of newly implemented control logic in flare control valves is included part of this paper. After the implementation of this logic the following results have been realized: No incident of multiple compressor trips happened due to proper functioning of logic. Eliminated 60-100 MMSCF/year of flaring due to multiple compressors trips scenario through having "quickest" handle to restoring flow to the swing line and stop flaring. Reducing carbon footprints due to flaring compared to old setup. Realized Recovered revenue worth approximately US$ 500,000/year The novelty in this paper is describing an approach of gradual load shifting from a tripped compressor to other running compressors to avoid multiple compressors trips which can be utilized in any facility that has a common suction header connects all its compressors. Such logics can be implemented in-house with no modification in compressors or swing lines or other equipment.

Using Digital Technologies to Facilitate Care Coordination Between Youth Mental Health Services: A Guide for Implementation

Enhanced care coordination is essential to improving access to and navigation between youth mental health services. By facilitating better communication and coordination within and between youth mental health services, the goal is to guide young people quickly to the level of care they need and reduce instances of those receiving inappropriate care (too much or too little), or no care at all. Yet, it is often unclear how this goal can be achieved in a scalable way in local regions. We recommend using technology-enabled care coordination to facilitate streamlined transitions for young people across primary, secondary, more specialised or hospital-based care. First, we describe how technology-enabled care coordination could be achieved through two fundamental shifts in current service provisions; a model of care which puts the person at the centre of their care; and a technology infrastructure that facilitates this model. Second, we detail how dynamic simulation modelling can be used to rapidly test the operational features of implementation and the likely impacts of technology-enabled care coordination in a local service environment. Combined with traditional implementation research, dynamic simulation modelling can facilitate the transformation of real-world services. This work demonstrates the benefits of creating a smart health service infrastructure with embedded dynamic simulation modelling to improve operational efficiency and clinical outcomes through participatory and data driven health service planning.