Samarang is a 35-year-old offshore oilfield in Malaysia, operated by Petronas. By 2003, with the declining production trends anddwindling reserves, the field abandonment was on the horizon. SamarangRedevelopment Project was kicked-off in 2012 with a vision to implementIntegrated Operations (IO) as an Asset Management Decision Support tool byimplementing a real time production, reservoir and process surveillance system. For the IO implementation, various intelligent asset decisionprocesses referred as workflow were identified and in various reservoir, production, and operations domains suchas Flow Assurance, Well Performance, Artificial Lift, Production and facilityPlanning and EOR Optimization. These workflow groups are linked to provide an integrated asset decision support system whichwill improve decision quality and operational efficiency. workflowm will deliver value with enhanced asset management by focusing on decisions toimprove reservoir drainage, production, and operations. In the initial phase, well performance workflow group, by acquiring data from the SCADA system andprocessing the real-time analysis workflows, enables the asset team to movefrom a reactive to a pro-active asset management system. ‘Well Status andUptime Calculation’ and ‘Well Rate Estimation’ workflow enable engineers to know in real-time the performance andstatus of wells to reduce the production deferment. The ‘Well Test Validation’ workflow will provide online validation, enhanced test quality andimproved confidence in back-allocation and reservoir modeling leading to betterField Management. ‘GasLift Surveillanceand Optimization’ workflow monitorslift performance, performs diagnostics and optimizes gaslift distribution. UsingReal Time data and integrated software, this solution will enable efficientdecisions with a shorter turnaround timeThus workflows equipthe asset team with cutting edge technology and collaborationenvironment for operational decision making. The IO implementation will help to extend the fieldlife and increase recoverable reserves while facilitating an effectivereservoir management strategy.
Increased demand in production and recovery, advancements in technologies and the desire to collaborate expertise across multiple assets are changing the work process at many oil and gas companies. Integrated Operations (IO) program describes the process, performance improvement and transformation of Petronas Carigali (PCSB) production operations. The program aims to help PCSB to address growth, organization and environmental challenges by integrating new transformational technologies with streamlined work processes and enables the followings: Enables a more effective working environment Work processes are streamlined and automated Quality information is available and accessible across the organization Collaborative expertise of multiple locations, teams and domains across distance Intelligent alarms and alerts for continuous asset awareness Increase hydrocarbon production and recovery Samarang was the first field selected for end-to-end asset management IO project. Its implementation deliver objective and focus at the whole of the asset operation optimization through providing increasing levels of monitoring and surveillance, diagnosis, optimization and operations transformation in a way that fits PCSB's current IO state as well as future expansion plans.
Samarang field, operated by PETRONAS Carigali Sdn Bhd (PCSB) is located offshore Sabah, Malaysia with first oil in 1975. The field is undergoing a major redevelopment project with Integrated Operations (IO) being part of initiatives that covers re-instrumentation, telemetry and telecommunication infrastructure installation, Collaborative Working Environment construction and Workflows implementation. Samarang Integrated Operations was designed as an Asset Management Decision Support solution to improve the quality and efficiency of decision processes through implementation of a real time production, reservoir and process surveillance system.Understanding and analyzing the asset performance is not an easy and well-defined process in the current state of operations in Samarang. Lack of proper instrumentation to measure the actual production parameters, delay in data transfers from field operations to office, manual data processing, delay in model updates and a long decision cycle have made it difficult to assess the accurate status, diagnose issues and optimize the production. In order to overcome these challenges and to improve field awareness, 5 workflows were designed and deployed in order to achieve an early milestone of providing real time well performance monitoring, surveillance and optimization. These workflows are:
Samarang field is located offshore Sabah, East Malaysia with first oil in 1975. Majority of the platforms are provided with fully pneumatic instrumentation / control and shutdown systems, with no provision for remote monitoring/control. This has caused limitation in acquiring data for monitoring and analyzing hence optimizing the asset. The field is undergoing a major redevelopment project with Integrated Operations (IO) being part of initiatives that covers re-instrumentation, telemetry and telecommunication infrastructure installation, Collaborative Working Environment construction and Workflows implementation. The limitation of status quo instrumentation situation has posed challenges for Samarang asset to monitor flowing status of the wells. Consequently, a number of indirect inferences were being used to determine the status and uptime of the wells including sporadic well head observation (i.e. "feeling" or "touching" the well head assembly for vibrations) and well head fluid sampling. Added to the complexity is the flow from multiple strings and wells commingling in production headers in each of the well platforms, it is not uncommon to have cases wherein the individual string or well’s actual status and production contribution is unknown for many days (or even weeks). At best, Well Testing, which is a direct measurement of the well or string’s deliverability, is carried out once a month. This paper describes a novel methodology of implementing workflow to achieve continuous well status monitoring objective. Workflow that combines the data feeding and processing through data driven logics as well as well models driven logics has enabled continuous well status awareness. The workflow has enabled the followings: Continuous well rate estimation using nodal analysis well model by automating data input and result output processWell flowing or quitting status inference by using wellhead pressure, temperature, valve status, gas lift injection pressure, MIG, pump voltage and frequency for natural, gas lifted as well as ESP wellsAutomated notification of well status through Tri-node Collaborative Working EnvironmentFaster reaction and decisionReduction of production deferment and increase awareness to the well status and performance
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.