Samarang Integrated Operations (IO) – Achieving Well Performance Monitoring, Surveillance &amp; Optimization Through Data and Model Driven Workflows Automation

Ahmad, Mifrah; Sayung, Colinus Lajim; Muzahidin, M Salim; Som, Mohamad Kasim Mohd; Wong, Lee Hin; Biniwale, Shripad; Erziyati, Nur; Soh, Kenneth King Han; Hermann, Roland; Nghia, Vo Tri; Ee, Lau Chong; Hassan, Muhammad Firdaus

doi:10.2118/173578-ms

Day 3 Thu, March 05, 2015 2015

DOI: 10.2118/173578-ms

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Samarang Integrated Operations (IO) – Achieving Well Performance Monitoring, Surveillance & Optimization Through Data and Model Driven Workflows Automation

Mifrah Ahmad

Colinus Lajim Sayung

M Salim Muzahidin

et al.

Abstract: 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 qual… Show more

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EOR RMP: Addressing Key Risks Through Sound Reservoir Management

Sifuentes

Mandal

Kumaran

et al. 2018

SPE Asia Pacific Oil and Gas Conference and Exhibition

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This paper aims to describe the overall EOR GASWAG concept with some of the key findings after first phase execution and some of the measures taken to maintain the project within the planned OPEX to remain economic. Secondly, to describe a comprehensive reservoir management plan which includes a fit for purpose data acquisition plan and more importantly how the remaining challenges are addressed through the RMP optimization to maximize recovery. Finally, this paper outlines the main key challenges to be faced once the injection phase kicks off, highlighting the surveillance and monitoring strategies to overcome them.

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EOR RMP: Addressing Key Risks Through Sound Reservoir Management

Sifuentes

Mandal

Kumaran

et al. 2018

SPE Asia Pacific Oil and Gas Conference and Exhibition

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Intelligent Completions Design and Production Optimization: Application Reality Now Versus the Future In Digital Oilfield

Goh

Biniwale

Musayev

et al. 2020

SPE Annual Technical Conference and Exhibition

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Intelligent Completions (IC) are deployed with the high hopes of frequent data utilization and zonal selectivity maneuver to optimize production continuously. The permanent downhole presence of measurements like pressure, temperature, rate, water-cut, gas-break provide downhole indicators and trending analysis of production performance and injection conformance. These are utilized not only to maximize hydrocarbon production but also to reduce surface handling of water and/or gas, improve injection efficiency, and reduce carbon and environmental footprint. However, the reality could be different from the evaluation stage to the application stage. The asset production engineers or the reservoir engineers face real challenges when it comes to design, downhole installation, data transmission, real-time analysis, and optimization to deliver the real value of the initial investment. These suboptimal application factors, multiplied by the complexity of IC deployment and execution with existing hardware constraints, have limited the progression towards digital well technology. By analyzing such trends, a new advanced completion optimization methodology has been devised, leveraging the latest technology and innovation, IC deployment simplification, and electrification efforts in the industry. This paper analyses the underutilization reasons of digital well technology, such as - the ability of design and implementation, the downhole data measurement, complexity of modeling and optimization, and the bottlenecks in applying the learning from the Intelligent Completions data to optimize production. It is then compared to the easing transition to the future digital-wells, advanced modeling capabilities that are driving the oilfield digitalization by next-generation Intelligent Completion. This digital transition ranges from ease-of-deployment to ease-of-optimization and eventually towards cloud-enabled decision making. The new era of IC electrification deployment and digital solutions are twinning to provide an integrated platform to maximize value and justification for more future digital wells. A fully digital system to control reservoir and optimize the product is becoming a reality with the transformation of modeling capability and enabled by simplification of IC deployment, and this is the digital future of IC optimization. This digital solution is continuously feeding asset subsurface, modeling, and optimization team with productivity or injectivity indexes and other inputs required for reservoir steady-state and transient evaluation. The IC industry continues to be integrating into the new solution frontiers of logging-while-producing, the testing-while-producing capability to the eventual optimizing, modeling-while-producing future, leading towards a true digital oilfield of the future.

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Digital Solutions Suite: Big Data, Artificial Intelligence, and Digital Barrel

Fuenmayor

2021

SPE/IATMI Asia Pacific Oil &Amp; Gas Conference and Exhibition

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The concept of digital transformation is based on two principles: data driven—exploiting every bit of data source—and user focused. The objective is not only to consolidate data from multiple systems, but to apply an analytics approach to extract insights that are the product of the aggregation of multiple sources then present it to the user (field manager, production and surveillance engineer, region manager, and country) with criteria's of simplicity, specificity, novelty—and most importantly, clarity. The idea is to liberate the data across the whole upstream community and intended for production operations people by providing a one-stop production digital platform that taps into unstructured data and is transformed into structured to be used as input to engineering models and as a result provide data analytics and generate insights. There is three main key objectives: To have only one source of truth using cloud-based technology To incorporate artificial intelligence models to fill the data gaps of production and operations parameters such as pressure and temperature To incorporate multiple solutions for the upstream community that helps during the slow, medium, and fast loops of upstream operations. The new "way of working" helps multiple disciplines such as subsurface team, facilities, and operations, HSSE and business planning, combining business process management and technical workflows to generates insights and create value that impact the profit and losses (P&L) sheet of the operators. The "new ways of working" tackle values pillars such as production optimization, reduced unplanned deferment, cost avoidance, and improved process cycle efficiency. The use of big data and artificial intelligence algorithms are key to understand the production of the wells and fields, as well as anchoring on processing the data with automated engineering models, thus enabling better decision making including the span of time scale such as fast, medium, or slow loop actions.

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Samarang Integrated Operations (IO) – Achieving Well Performance Monitoring, Surveillance & Optimization Through Data and Model Driven Workflows Automation

Cited by 4 publications

References 5 publications

EOR RMP: Addressing Key Risks Through Sound Reservoir Management

EOR RMP: Addressing Key Risks Through Sound Reservoir Management

Intelligent Completions Design and Production Optimization: Application Reality Now Versus the Future In Digital Oilfield

Digital Solutions Suite: Big Data, Artificial Intelligence, and Digital Barrel

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