A structured approach to optimizing offshore oil and gas production with uncertain models

Elgsæter, Steinar M.; Slupphaug, Olav; Johansen, Tor Arne

doi:10.1016/j.compchemeng.2009.07.011

Cited by 19 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resulting large-scale nonconvex MINLP is solved with a rigorous decomposition method. Elgsaeter et al (2010) proposed a structured approach to optimize offshore oil and gas production with uncertain models which iteratively updates setpoints while documenting the benefits of each proposed setpoint change through excitation planning and result analysis. The approach is able to realize a significant portion of the available profit potential while ensuring feasibility despite large initial model uncertainty.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure

Gupta

Grossmann

2012

Ind. Eng. Chem. Res.

100

View full text Add to dashboard Cite

In this paper, we present an efficient strategic/tactical planning model for offshore oilfield development problem that is fairly generic and can be extended to include other complexities.The proposed multiperiod non-convex MINLP model for multi-field site includes three components (oil, water and gas) explicitly in the formulation using 3 rd and higher order polynomials avoiding bilinear and other nonlinear terms. With the objective of maximizing total NPV for long-term planning horizon, the model involves decisions related to FPSO (floating production, storage and offloading) installation and expansion schedule and respective oil, liquid and gas capacities, connection between the fields and FPSOs, well drilling schedule and production rates of these three components in each time period. The resulting model can be solved effectively with DICOPT for realistic instances and gives good quality solutions.

show abstract

Section: Introductionmentioning

confidence: 99%

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure

Gupta

Grossmann

2012

Ind. Eng. Chem. Res.

100

View full text Add to dashboard Cite

show abstract

“…These two traits will inevitably enlarge running costs. From an funding perspective, the uncertainty in furnish potential that buyers will be searching to low fee of manufacturing and renovation operations to make sure the protection of their funding (Treadgold, 2010) Due to these traits and challenges, oil and gasoline businesses are searching to optimize manufacturing (Elgsaeter et al, 2010) and enhance asset integrity administration (Rahim, 2010). A high-quality protection application is an integral and big aspect of operations with many benefits, including; the discount of downtime due to surprising tools failure, which improves reliability and maintainability, growing tools availability and utilization.…”

Section: Literature Reviewmentioning

confidence: 99%

Maintenance Operations and its Management in Oil Industry in Kuwait

2020

J. Environ. Treat. Tech.

View full text Add to dashboard Cite

The maintenance in oil area need to undertake entire shutdowns together with generic refinery turn-around, unit shutdowns on a full accountability foundation and Scaffolding services. The in-house equipment and equipment: the in-house Maintenance workshop facility ought to be completely outfitted with lathe machines, shaping machine, hole spindle lathe machine, horizontal boring machine, radial drilling machine, pipe threading machine, valve lapping machine, mechanical seal lapping machine, welding computing device and all sorts of specialized warmness exchanger re-tubing gear and tools. Maintenance operations in this zone face many troubles in management, price and technical problems. This study aims to study the and count the failures occurred in equipments of Kuwait Oil Company (KOC) in 2019, and study the maintenance strategies used in petroleum industry in the Kuwait state, a maintenance programs or steps will be suggested and investigated in order to improve the maintenance operations. Availability of devices are calculated depending on downtime of the devices at KOC. The data were collected about failures frequency occurred for the KOC company equipments. Most of oil equipments have good availability but in the case of KOC four devices have availability less than 90% which means more failure and downtime, the company adopted a Zero S/D PM Strategy or Philosophy which decreasing failures by 75% and improve the availability of KOC devices. Planning and management of maintenance and monitoring operations in any company decreasing failure frequency of equipments and so downtime of equipments which improves the equipments availability.

show abstract

“…This was first handled explicitly in Bieker et al (2007). In a later paper (Elgsaeter et al, 2010) uncertainty is accounted for by iteratively changing the setpoints until the capacity constraints, which should be active, are utilized to their limits. This approach assumes that there exists measurements to monitor capacities.…”

Section: Mathematical Programming In Daily Production Optimizationmentioning

confidence: 99%

Petroleum production optimization – A static or dynamic problem?

Foss

Knudsen

Grimstad

2018

Computers & Chemical Engineering

View full text Add to dashboard Cite

This paper considers the upstream oil and gas domain, or more precisely the daily production optimization problem in which production engineers aim to utilize the production systems as efficiently as possible by for instance maximizing the revenue stream. This is done by adjusting control inputs like choke valves, artificial lift parameters and routing of well streams. It is well known that the daily production optimization problem is well suited for mathematical optimization. The contribution of this paper is a discussion on appropriate formulations, in particular the use of static models vs. dynamic models. We argue that many important problems can indeed be solved by repetitive use of static models while some problems, in particular related to shale gas systems, require dynamic models to capture key process characteristics. The reason for this is how reservoir dynamics interacts with the dynamics of the production system.

show abstract

A structured approach to optimizing offshore oil and gas production with uncertain models

Cited by 19 publications

References 20 publications

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure

An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure

Maintenance Operations and its Management in Oil Industry in Kuwait

Petroleum production optimization – A static or dynamic problem?

Contact Info

Product

Resources

About