Mazzlan, Khairul Akmal (PETRONAS) | Chia, Mabel Pei Chuen (PETRONAS) | Tamin, Muhammad (PETRONAS) | Tugimin, M Azri B A (PETRONAS) | Azlan, Ali Al-Amani (PETRONAS) | Michael, Lester Tugung (Schlumberger) | Sepulveda, Willem (Schlumberger) | Cortez V., Juan L. (Schlumberger) | Muhamed Salim, Muzahidin (Schlumberger) | Kalidas, Sanggeetha (Schlumberger) | Chan, Nathanael Vui Kit (Schlumberger) | Biniwale, Shripad (Schlumberger) | Serbini, Feroney (Schlumberger) | Mohd Arifin, Azahari (Schlumberger) | Tan, Tina Lee Ting (Schlumberger) | Tee, Karen Ying Chiao (Schlumberger)
‘S’ field is a mature oilfield located offshore Sabah, Malaysia. As part of the redevelopment plan, ‘S’ field was the first field selected for an end-to-end asset management Integrated Operations (IO project) where multiple workflows have been implemented for the asset operation optimization through monitoring and surveillance. One of the exclusive workflow that will be further elaborated in this paper is on Candidate Selection and Reservoir Optimization.
Although field optimization mission was ongoing, proper knowledge capture and standardization of such techniques were not adequate due to the limited data management. Lack of decision-support mechanism and most importantly the challenge was of understanding and analysing the asset performance. A key to the success of field and reservoir optimization is defining a tailored approach, for selection of right candidate and collaborative decision for well/field intervention.
With an objective of full field revitalization, the project was focused on integrated, collaborative 3R approach – Reliability, Reusability and Repeatability. Reliability component was based on capturing knowledge from experienced professionals from various domains and blending that with traditionally proven analytical techniques. Reusability was emphasized by the development of consistent and robust analysis workflows ready to use. Repeatability was aiming at standardizing the process of candidate selection and decision making to assist junior engineers.
M Mabror, M Agus Nukman (PETRONAS Carigali Sdn Bhd) | B Ahmad, Zul Izzi (PETRONAS Carigali Sdn Bhd) | Lajim - Sayung, Colinus (PETRONAS Carigali Sdn Bhd) | M Som, M Kasim (PETRONAS Carigali Sdn Bhd) | Sepulveda, Willem (SCHLUMBERGER) | Muhamed Salim, Muzahidin (SCHLUMBERGER) | Ahmad, Azhar (SCHLUMBERGER) | Kumar, Ram (SCHLUMBERGER) | Biniwale, Shripad (SCHLUMBERGER) | Rabtah Seruji, Nur Erziyati (SCHLUMBERGER) | Zhao, Jingmei (SCHLUMBERGER) | Wolfswinkel, Onno van (SCHLUMBERGER) | Kimsaas, Andreas (SCHLUMBERGER) | Borovik, Julia (SCHLUMBERGER)
This paper discusses a case study of a 42-year-old mature offshore oilfield. For this field, with declining production trend and timeworn equipment and technology, understanding and analyzing the transient flow is not a well-defined process. The Integrated Operations (IO) project was kicked-off in 2012 in order to deploy an Asset Management Decision Support tool. One of the focus areas was ‘Flow Assurance Management’ to overcome challenges of well slugging, liquid surge management and to establish guidelines for Start-Up and Ramp-Up processes.
Traditionally in this field, most decisions were based on steady-state well and network modelling without much emphasis on transient behavior. Moreover, lack of instrumentation and manual data processing and model updates made it difficult to estimate current reservoir/operating conditions accurately to support real-time decision making. To overcome these issues, a Dynamic Production Management System (DPMS) was designed and implemented based on a dynamic flow model describing multi-phase flow in the gas lifted wells of the field. This paper describes the system and how it aids in better understanding of flow performanxce issues, collaborative decision making, and improved communication between various operational locations and disciplines.
As part of the IO project, Real-Time field measurements (pressure, temperature, flow etc.) were captured at high frequency (seconds) & validated to ensure the desired data quality. These measurements were automatically used as boundary information by the model which calculates pressure, temperature, flows and volumes in real time throughout the field. The model is used in different modes: (1) For real-time surveillance, the online model provides a series of virtual instruments at locations without actual instrumentation in the field. (2) For advance warning, a separate transient model is executed faster than real-time to predict future events for Slug/Surge Management. (3) Finally the model is also used for planning activities, such as Start-up/Ramp-up or pigging and can predict any alarming issues during these operations. Thus DPMS assists production engineers and operators to make proactive decisions for effectively managing flow assurance challenges and adds value in various areas. Surveillance: Continuous, real-time monitoring of operating conditions within the network, along with prediction of future conditions within the inlet separators. Safety (HSE): Prevention and mitigation of facility trips/shut-down due to slug and surge issues during start-up/ramp-up Efficiency: Improved utilization of engineers' time and experience with increased focus on data analysis instead of data manipulation. Production Gain: Proactive field management for improved production, rather than reactive decisions that lead to deferred production. Dynamic PMS: The system will help to fully optimize wells, networks and facilities in order to produce and operate asset to its fullest potential by minimizing unexpected downtimes
Surveillance: Continuous, real-time monitoring of operating conditions within the network, along with prediction of future conditions within the inlet separators.
Safety (HSE): Prevention and mitigation of facility trips/shut-down due to slug and surge issues during start-up/ramp-up
Efficiency: Improved utilization of engineers' time and experience with increased focus on data analysis instead of data manipulation.
Production Gain: Proactive field management for improved production, rather than reactive decisions that lead to deferred production.
Dynamic PMS: The system will help to fully optimize wells, networks and facilities in order to produce and operate asset to its fullest potential by minimizing unexpected downtimes
It's one of the first fields in Asia to implement an integrated DPMS using the online transient model concept as a basis for effective, real-time and proactive decision support.
Azaman, Dzulkarnain (PETRONAS Carigali Sdn Bhd) | Majinum-Helmi, Hendry (PETRONAS Carigali Sdn Bhd) | Shahari, Shahrizal (PETRONAS Carigali Sdn Bhd) | Lajim Sayung, Colinus (PETRONAS Carigali Sdn Bhd) | Dato’ Wan, Hassan Wan Mamat (PETRONAS Carigali Sdn Bhd) | Hin Wong, Lee (SCHLUMBERGER) | Muhamed Salim, Muzahidin (SCHLUMBERGER) | M Som, M Kasim (SCHLUMBERGER) | Biniwale, Shripad (SCHLUMBERGER)
The Samarang field is located offshore Sabah, with operation office in Kota Kinabalu (KK), Sabah and Headquarters in Kuala Lumpur (KL). The Collaborative Working Environment (CWE) is one of the key components in Samarang Integrated Operations (IO) project, it is desired to collaborate actionable data and information across the expertise from multiple disciplines and geographically split locations in order to have faster and better decision making processes.
A Tri-Node CWE was designed and implemented in Samarang IO project. It integrates new transformational technologies with integration of offshore data streaming and work processes and has enabled the followings:
collaborative expertise of multiple domain and locations across geographically split of Samarang offshore, Sabah operations and headquarters
enables a more effective working environment
work processes are streamlined and automated
quality information is available and accessible across the organization
management by Exception
increase hydrocarbon production and recovery
The Tri-Node CWE is adopting immersive model whereby Samarang Asset Team was co-located and work in CWE. The model is selected considering lesson learned from industry projects that if employees have to schedule the use of a separate collaboration room (Distributed Model) and leave their workspace to go there, they are less likely to do so.
The Tri-Node CWE is housing Samarang asset team with shared visualization of data, KPIs, workflow execution with surveillance by exception, collaborative decision making with action tracking and management. The aim is to closely coordinate synergistically the decision making processes across different domains and functions in efficient manner.
The implementation of IO for Samarang field represents a major change in the way that Samarang asset will manage the operation of Samarang in both the daily and long term operation of the field. As such it qualifies as a major technology project and change management is a vital and ongoing part of the alignment, planning and implementation of the project.
The change management is recognized as one of important components in Samarang IO Framework to ensure stakeholders are in alignment as well as its sustainability. J.P Kotter and Prosci Adkar change management models are being used to execute the change management Plan.
The goal of this paper is to describe the Tri-Node CWE and change management implementation in Samarang IO project and underscores its challenges and lesson learnt in integrating data from different technologies into work processes and enables multiple petro-technical domain expertise for decision making in collaboration manner.
Lajim Sayung, Colinus (PETRONAS) | Ahmad, Zulizzi (PETRONAS) | M. Som, Mohamad Kasim (Schlumberger) | Muhamed Salim, Muzahidin (Schlumberger) | Lee, Hing Wong (Schlumberger) | Biniwale, Shripad Suhas (Schlumberger) | Vo Tri, Nghia (Schlumberger) | Soh, Kenneth King Han (Schlumberger)
Samarang field started its first oil in year 1975 and has since, producing for last 39 years as we speak. The asset has embarked on a Field Redevelopment Project in 2010. The Field Redevelopment Project consists of infill drilling, production enhancement as well as an Enhanced Oil Recovery (EOR) scheme.
Integrated Operations (IO) is executed as part of Redevelopment Plan and was incepted in year 2011 with front end design and subsequently a multi-phases implementation that aligns to overall Field Redevelopment Plan. The main business drivers of Integrated Operations (IO) is to enable Samarang asset a real time production, reservoir and process surveillance & optimization in order to gain reservoir and production understanding for effective asset management.
As a brown field, over 90% of Samarang wells are being gas lifted. As such, gas lift surveillance and optimization workflow is identified as one of the key workflows in Samarang Integrated Operations (IO) implementation to ramp up production of the Samarang field.
The status quo operating environment in Samarang with majority of the platforms were installed with pneumatic instrumentation, control and shutdown systems, with no provision for remote monitoring and control has posed challenges in performing surveillance and hence, hinder the efforts to perform production optimization. Furthermore, the flow from multiple wells are commingling at production headers in each of the platforms that resulted in sporadic well test measurement, delay in well models updates and in turn, deferring opportunity for production optimization and enhancement.
The gas lift surveillance and optimization workflows within Samarang Integrated Operations (IO) include modification of control valves, installation of wellhead transmitters for pressure, temperature and flow measurements. The instrumentation provides real time data input to analytical models to determine the optimum set points for gas injection. The general merits of the workflow are as follows:
This paper describes the implementation of gas lift surveillance and optimization workflow, the architecture and benefits within the Samarang Integrated Operations (IO).
B Wan Mamat, Dato' Wan Hassan (PETRONAS Carigali Sdn Bhd) | Sayung, Colinus Lajim (PETRONAS Carigali Sdn Bhd) | Ahmad, M Zul Izzi (PETRONAS Carigali Sdn Bhd) | Hashimi, M Hafez Izzami (PETRONAS Carigali Sdn Bhd) | Wong, Lee Hin (Schlumberger) | Muhamed Salim, Muzahidin (Schlumberger) | Mohd Som, Mohamad Kasim (Schlumberger) | Kurniawan, Rudy (Schlumberger) | Biniwale, Shripad (Schlumberger)
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 expertises 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.
The case study has shown following benefits since its inception in 2011:
• An innovative parallel design process was invented to improve the efficiency and integrity of the design process
• An Integrated Operations model was described and defined for framing, planning, design and execution of the project
• Total asset optimization hybrid of steady-state and transient-state optimization
• Introduction of “Functional Base with Asset Mindset” collaborative working environment across multiple locations, team and domains
• Heightened monitoring and surveillance through installation and retrofitting of measurements and control devices
• Production enhancement and reserve improvement based workflows
The goal of this paper is to describe the IO framework and underscore its benefits that can be drawn from the Samarang IO implementation.
B Ahmad, M Zul Izzi (Petronas) | Lajim Sayung, Colinus (PETRONAS) | Muhamed Salim, Muzahidin (PETRONAS) | Hin Wong, Lee (Schlumberger) | Mohd Som, Mohamad Kasim (Petronas) | Soriano, Jerome (Schlumberger Information Solutions) | Biniwale, Shripad (Schlumberger) | Nghia, Vo Tri (Schlumberger) | Pedraza, Sergio (Schlumberger) | Soh, Kenneth King Han (Schlumberger WTA Malaysia S/B) | Hermann, Roland (Schlumberger Oilfield Services) | Chong Ee, Lau (Schlumberger) | Trivedi, Rajesh (Schlumberger)
Samarang is a 35-year-old offshore oilfield in Malaysia, operated by Petronas. By 2003, with the declining production trends and dwindling reserves, the field abandonment was on the horizon. Samarang Redevelopment Project was kicked-off in 2012 with a vision to implement Integrated Operations (IO) as an Asset Management Decision Support tool by implementing a real time production, reservoir and process surveillance system. For the IO implementation, various intelligent asset decision processes referred as workflow were identified and in various reservoir, production, and operations domains such as Flow Assurance, Well Performance, Artificial Lift, Production and facility Planning and EOR Optimization. These workflow
groups are linked to provide an integrated asset decision support system which will improve decision quality and operational efficiency. workflowm will deliver value with enhanced asset management by focusing on decisions to improve reservoir drainage, production, and operations. In the initial phase, well performance workflow group, by acquiring data from the SCADA system and processing the real-time analysis workflows, enables the asset team to move from a reactive to a pro-active asset management system. ‘Well Status and Uptime Calculation’ and ‘Well Rate Estimation’ workflow enable engineers to know in real-time the performance and status of wells to reduce the production deferment. The ‘Well Test Validation’ workflow will provide online validation, enhanced test quality and improved confidence in back-allocation and reservoir modeling leading to better Field Management. ‘GasLift Surveillance and Optimization’ workflow monitors lift performance, performs diagnostics and optimizes gaslift distribution. Using Real Time data and integrated software, this solution will enable efficient decisions with a shorter turnaround time Thus workflows equip the asset team with cutting edge technology and collaboration environment for operational decision making. The IO implementation will help to extend the field life and increase recoverable reserves while facilitating an effective reservoir management strategy.
Abdul Razak, Chik Adnan (Petronas Carigali Sdn Bhd) | Sayung, Colinus Lajim (Petronas Carigali Sdn Bhd) | Ahmad, M. Zul Izzi (Petronas Carigali Sdn Bhd) | Wong, Lee Hin (Schlumberger) | Muhamed Salim, Muzahidin (Schlumberger) | Mohd Som, Mohamad Kasim (Schlumberger)
Phase 2: EOR phase will be implemented, GASWAG (Gravity Assisted Simultaneous Water and Gas injection) in two of the three main reservoirs as well as waterflood in the third reservoir and reactivation of existing wells. Samarang IO project execution plan is coordinated synergetically with overall field development plan in order to optimize the logistic efficiency, resource utilization and zero interruption to field production target. The project implementation is using integrated project planning and has been incepted in year 2011. The project has reached Milestone 2 in year 2013 that manage approximately 10% of Samarang wells production. The project is demarcated over 4 phases, promoting up the value chains from Heightened Monitoring Surveillance to ultimate aim of Total Asset Optimization in Phase IV.
bt Ishak, Munira Nur Farizan (Petronas Carigali ) | Murugesan, K. (Petronas Carigali) | Bt C Mohamood, Nurul Izzwani (Petronas Carigali) | Muhamed Salim, Muzahidin (Schlumberger) | Som, Mohamad Kasim Mohd (Schlumberger) | Lee, Hin Wong (Schlumberger)
Samarang is an existing oil field in offshore Sabah, East Malaysia, developed in 1975. It comprises of 7 wellhead, 3 production, 1 gas compression platforms and 1 Living Quarters. Majority of the platforms are provided with fully pneumatic instrumentation / control and shutdown systems, with no provision for remote monitoring/control except for SMG-A and part of SMDP-A.
Under Samarang Re-development project to increase Samarang production and improve reserve recovery, Integrated Operation (IO) applying real time optimization concept will be implemented.
The main challenges to achieve Samarang IO a real time monitoring and operation environment are as follows:
? Extensive re-instrumentation work such as installation of electronic transmitters for wellhead and other surface facilities, actuated choke valves for gaslift control, sand monitoring system, downhole gauges & ICVs for smart wells, interfacing with well test meters, operational flowmeters, compressor control panels, instruments associated with separator & crude oil transfer pump etc.
? Remote Terminal Units (RTU) for the remote unmanned satellites which require certification for Zone-2 hazardous area and weather proof to IP65
? High reliability and availability designed RTU with dual redundant, hot failover and data buffering up to 5 days.
? High Availability (HA) data historian configuration with hot failover PI interfaces data collection nodes to enable continuous and uninterrupted surveillance and optimization process.
? Real time monitoring and control HMI at offshore Central Control Room (CCR), Operation office (SBO) and HQ in a Tri-Node Collaborative Working Environment.
? The data communication upgrade from remote satellites to mother platform through Wireless Ethernet Radio using TCP/IP-DNP3 protocol; from offshore to onshore (about 55km) through Digital Microwave Radio and leased lines
Abd Razak, Chik Adnan (Petronas Carigali Sdn Bhd) | Wong, Lee Hin (Schlumberger) | Mohd Som, Mohamad Kasim (Petronas Carigali Sdn Bhd) | Muhamed Salim, Muzahidin (Schlumberger) | Traboulay, Ian (Schlumberger) | Shuhaimi, Mimi Azura (Petronas Carigali Sdn Bhd) | Mazlan, Eliff Maznur (Petronas Carigali Sdn Bhd)
Integrated Operations (IO) was indentified as part of the redevelopment program in Samarang field. The IO framework defined was focusing on Asset Management Decision Support through increasing levels of monitoring and surveillance; fast, medium and slow loop diagnosis, transformation of operations, and optimization of asset values.
The aim of Samarang IO is to achieve the followings:
• Effective and efficient working environment through streamlined and automated workflows
• Quality information acquisition and dissemination across the organization
• Collaborative expertise across multiple disciplines and locations
• Optimum asset value through increased production and reserve recovery
As the first step of project execution process, an IO study team was formed to carry out a conceptual study. The Samarang Integrated Operations (IO) study was conducted within the context of an Integrated Operations Model developed by Schlumberger. This model is used to frame, plan, and execute the IO Conceptual Study for Samarang.
The methodology, scope of work, and project deliverables for the conceptual study, is based on the general description of the IO model. In general the IO model describes how asset decisions will be supported by new measurements and equipment proposed for installation on existing and new platforms. It also describes how decision process will be enabled by software applications and how collaborative decision making can be improved.
An innovative parallel design approach was used to fast track the design process by integrating IO solution conceptual design in parallel to EPC FEED design for instrumentation with interface management as the main quality controller.
Upon completion of the conceptual study, a total of 2010 man-hours were logged from interviews, workshops, peer reviews and offshore survey involved interaction with different stakeholders. The extensive time invested in the data gathering has enabled the team to complete the project deliverability inclusive of some additional scope.