An Integrated Approach at Real-Time Surveillance Gets You Ahead of the Game

Linggu, Azmi; Bellegem, Bas Van; Briers, Jan; Chin, YeeMen

doi:10.2118/165759-ms

All Days 2013

DOI: 10.2118/165759-ms

|View full text |Cite

An Integrated Approach at Real-Time Surveillance Gets You Ahead of the Game

Azmi Linggu¹,

Bas Van Bellegem²,

Jan Briers

et al.

Abstract: In Sakhalin Energy the oil and gas production from all the wells is monitored in real-time by data-driven models. These models are based on single-rate well test data, test-by-difference data and/or 'synthetic' data generated by physical models. The system is technically easy to maintain, fast to simulate and reconcile with the fiscal meters. SEIC has two new facilities with good instrumentation that allowed for a successful deployment of FieldWare Production Universe for real-time production surveillance and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2018

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

et al. 2016

View full text Add to dashboard Cite

On the tenth anniversary of the first Intelligent Energy Conference held in 2006, it is appropriate to look back at some of the technologies introduced at the time, and report out on how these have been progressed. This paper discusses one of the technologies: the use of data driven models for well rate estimation, to support and enable real-time surveillance and optimization. In the early 2000s real-time data from oil and gas fields became available in abundance on engineering central office desktops via process data historians and wide area / global communications networks. A key challenge to production management, then, as now, was: "What are the wells producing?" The April 2006 SPE Paper 99963 introduced data driven modelling for continuous well production surveillance leveraging on the suddenly abundant and often very revealing PI data. Today, ten years later, a stream of success stories on the use real time well rate estimates based on data driven models continue to be reported, and these tools are seen as best practice in many different operational scenarios. This paper reviews the key concepts introduced in 2006, and extensions and applications of the technology to various aspects of production surveillance and optimization. As with all innovations, the most challenging elements in the journey have been related to people and processes. The paper discusses these issues in relation to the important role played by technology integration themes such as Smart Fields.

show abstract

Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

et al. 2016

View full text Add to dashboard Cite

show abstract

Value Creations through Tangguh Big Gas Well Daily Surveillance Integration Challenge

Kartawijaya¹,

Menanti²,

Saraswaty³

et al. 2018

Day 1 Tue, October 23, 2018

View full text Add to dashboard Cite

Managing big gas well requires careful monitoring to ensure optimum wells production within their operating envelopes whilst continuously obtaining production data. Such data improves subsurface understanding over time and become a basis for optimization exercises, wellwork initiation, and quick corrective actions. Tangguh all-inclusive well surveillance integrates various daily data analysis into an efficient well surveillance process. It essentially looks for both early problem signs and improvement opportunities, enabling ahead anticipations. Tangguh real time surveillance allows continuous parameter monitoring: pressures, temperatures, choke opening, multiphase flowrates, sand detection, annuli pressures, and system backpressure. A semi-automatic system then integrates all available data quickly and allow engineers to perform meaningful analysis timely. The integration is a significant upgrade over the past surveillance practice, where typically more time spent on data gathering instead of the analysis; and missing anomalies that happened in unmonitored parameters while concentrating on a specific parameter. Combining with some non-routine data acquisitions, this well surveillance integration enables a quick and thorough well performance review and assists unlocking optimization opportunities. Three examples below demonstrate value creation from the integrated well surveillance. First example: combining real time well data and the non-routine acquisitions enable robust well productivity model construction. This has improved the understanding of each well productivity and operating limits, which upon evaluating lead to deliverability increases by simple well limits upgrade and debottlenecking projects. Other result includes assistance in defining restoration wellwork candidate. Second example: by continuous comparison between real time data and calculated performance model, the surveillance has shown its ability to detect well choke trim damage while flowing. This successfully prevented problem escalation into a more serious safety incident, such as gas release from an eroded choke valve. Third example: despite the challenges in accurate dry-gas-well liquid rate measurement, continuous water source identification is applied honoring the significant reserve it may impact, starting from routine salinity monitoring, theoretical condensed comparison against receiving facility figures, and material balance plots. All positively indicate no aquifer breakthrough yet so far.

show abstract

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.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An Integrated Approach at Real-Time Surveillance Gets You Ahead of the Game

Cited by 2 publications

References 13 publications

Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

Looking Back 2006 - 2016 - Ten Years of Data Driven Well Rate Estimates for Real-Time Surveillance and Optimization

Value Creations through Tangguh Big Gas Well Daily Surveillance Integration Challenge

Contact Info

Product

Resources

About