Day 2 Tue, May 07, 2019 2019
DOI: 10.4043/29232-ms
|View full text |Cite
|
Sign up to set email alerts
|

Real-Time Subsea Hydrate Management in the World's Longest Subsea Tieback

Abstract: The Zohr subsea production system, around 180 km off the coast of Egypt in 1,500-m water depth, was configured with a novel metering system providing the necessary functionalities for optimized hydrate inhibition. Different subsea measurements from startup and normal production phases were obtained and combined to extract valuable information regarding water production and to monitor hydrate inhibitor dosage in real time. Conventional hydrate inhibition system overdesign and overdosage would hav… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(7 citation statements)
references
References 8 publications
0
7
0
Order By: Relevance
“…Production in hydrate formation zones is a very important production problem where AI technologies are increasingly being used [52,70]. Neural networks, support vector machine (SVM), decision trees, real-time data analytics, and real-time smart monitoring and management systems are the main used technologies for producing in the presence of hydrate.…”
Section: Relevant Results On Production Applicationsmentioning
confidence: 99%
See 4 more Smart Citations
“…Production in hydrate formation zones is a very important production problem where AI technologies are increasingly being used [52,70]. Neural networks, support vector machine (SVM), decision trees, real-time data analytics, and real-time smart monitoring and management systems are the main used technologies for producing in the presence of hydrate.…”
Section: Relevant Results On Production Applicationsmentioning
confidence: 99%
“…The hydrate formation and blockage is a substantial challenge in deepwater oil and gas production systems Risk management tools based on neural networks, SVM, and decision tree Qin et al [68] Management system with combination of flow assurance modeling and data analytics methods Vielliard et al [70] Integration of digital technologies and flow assurance knowledge Bomba et al [66] Integration of neural networks and multiphase flow simulations…”
Section: Relevant Results On Production Applicationsmentioning
confidence: 99%
See 3 more Smart Citations