Implementing Intelligent Well Completion in Brown Field Development

Johnstone, Stuart J.; Duncan, Gavin; Giuliani, Corrado; Denholm, Allan

doi:10.2523/77657-ms

Cited by 3 publications

(2 citation statements)

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“…There is more significant mechanical design impact in adopting an IWIS Level 2 SEM into an SCM. 5 IWIS Level 2 provides more space to interface subsea and downhole instrumentation, but maintains the interdependence of production critical tree control and downhole or subsea instrumentation. IWIS Level 3 has two potential suppliers.…”

Section: Standardizationmentioning

confidence: 99%

“…A number of industry sources [1][2][3]5,7 have identified the need to improve overall productivity of subsea wells through the application of monitoring and control systems in the wellbore and on the seabed. To achieve this goal, two elements must be mastered: information and measurements of key attributes of the well and reservoir productivity, and a means to change and command the process, mostly through remote-controlled devices and intelligent wells.…”

Section: Application To Subsea Surveillance and Reservoir Managementmentioning

confidence: 99%

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Role of Surveillance in Improving Subsea Productivity

Amin

Smedstad

Riding

2004

SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractA number of industry sources have identified the need to improve overall productivity of subsea wells through the application of monitoring and control systems in the wellbore and on the seabed. To achieve this goal, two elements must be mastered: information and measurements of key attributes of the well/reservoir productivity, and a means to change and command the process, preferably through remote-controlled devices rather than traditional well intervention.With the advent of intelligent wells, the second element has been addressed through a variety of process control devices used at different points in the wellbore and on the seabed. However, the growth of this process was limited by the absence of effective information gathering and data transmission systems in subsea wells, which remained underdeveloped compared to other subsea hardware. This resulted in systematic information bottlenecking caused by poor connectivity between the wellbore and the rest of the subsea infrastructure.The paper introduces a complementary surveillance system that works with existing subsea devices and highlights its role in gathering and transmitting well and subsea data reliably and in sufficient time needed to maintain optimal production. In particular, the system targets high data traffic areas in order to de-bottleneck the subsea transmission systems and provides wellbore monitoring and inflow quantification. A continuous data highway is now available to both wellbore and subseabased measurements, leading to improved monitoring and control of the entire subsea system.The applications and benefits of the system are demonstrated through a case study. The study discusses the role of the surveillance system in bringing the productivity index of subsea wells to be in par with the platform wells. It also demonstrates the need to rethink the flow assurance process as increasing number of distributed seabed measurements become available to the subsea industry and tieback distances increase to make the best use of expensive host facilities. IntroductionLooking at history. The first subsea Christmas tree was installed in 1961. In the following 37 years, the industry installed 1,000 subsea wells. In the coming 5 years, well over 1,000 will be commissioned; we are in a period of exponential growth, limited mainly by industry capacity. Total subsea capital expenditures during next 5 years will increase from US$34 billion to more than US$48 billion. The majority of this spending will be in the North Sea and the deepwater Golden Triangle: Gulf of Mexico, Brazil, and West Africa.With field productivity and process optimization continuing to drive the oilfield towards lowering the risk of subsea developments and enhancing production, it is time to embrace the pivotal role of real-time information to achieving these goals.We believe the answer to increased subsea productivity is real-time data combined with scalable, integrated, pore-toprocess systems. Data-rich solutions offer a better under...

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Section: Standardizationmentioning

confidence: 99%

Section: Application To Subsea Surveillance and Reservoir Managementmentioning

confidence: 99%

Role of Surveillance in Improving Subsea Productivity

Amin

Smedstad

Riding

2004

SPE Annual Technical Conference and Exhibition

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Production Optimization With Intelligent Wells

Emerick

Portella

2007

Latin American &Amp; Caribbean Petroleum Engineering Conference

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fax 01-972-952-9435. AbstractThis paper describes an implementation of method to optimize the production in intelligent wells varying the wells inflow control valves settings using an optimization algorithm coupled to commercial flow simulators. The optimization is based on direct search methods. The optimization algorithm was coupled with two different commercial flow simulators and has been applied in two real Brazilian offshore fields to quantify the benefits of intelligent wells over a base case with conventional completion. The first field has three horizontal wells, two producers and one water injector, completed in two zones totalizing six inflow control devices. In this case, different scenarios have been analyzed varying the downhole valves type -on-off and multi-position. The results have shown that the intelligent wells scenarios increased the recovery factor and reduced the production and injection of water when compared with the base case (conventional completion). The second field has fifteen wells -nine producers with binary valves and six water injectors with sixposition valves -producing and injecting in two or three zone totalizing 39 downhole valves to be optimized. In this case, the results have shown a significant increase of the expected cumulative oil production when compared with the base case.

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Intelligent Completions: Lessons Learned from 7 Years of Installation and Operational Experience

Mclauchlan¹,

Nielsen²

2004

SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractSince the first intelligent completion was installed in August 1997, over 200 such systems have been installed globally. The systems installed encompass a wide range of downhole and surface equipment, though some aspects are similar for all installations. This paper will address the lessons learned and best practices developed since the installation of the first system seven years ago.Detailed project and operational planning is critical to the success of any project, but is of paramount importance to complex projects such as intelligent completions. Operational planning and execution begins before the equipment is manufactured and carries through to equipment testing, shipping, and surface checks prior to picking up the assemblies.Installation and proper execution is critical for all projectsthough specifically important in many of the intelligent completion installations which take place in applications with very high rig rates. To complement success, post-job reviews allow for lessons learned and best practices to be disseminated throughout the intelligent completion provider organization as well as the operating company.The tangible results of this detailed planning and execution are realized as rig time savings without jeopardizing safety. Though more difficult to quantify, reliability improvements and an increase in customer satisfaction and confidence can be achieved by the incorporation of standardized, downhole components and installation equipment.

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Implementing Intelligent Well Completion in Brown Field Development

Cited by 3 publications

References 0 publications

Role of Surveillance in Improving Subsea Productivity

Role of Surveillance in Improving Subsea Productivity

Production Optimization With Intelligent Wells

Intelligent Completions: Lessons Learned from 7 Years of Installation and Operational Experience

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