Industrial asset management strategies for the oil & gas sector

2012 ◽  
Author(s):  
V. Kongezos ◽  
E. Jellum
Keyword(s):  
Asset Management ◽  
Management Strategies ◽  
Oil Gas

A Decision Support Tool for Wastewater Catchment Management

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
S.E. Walters ◽  
D. Savic ◽  
R.J. Hocking
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Capital Investment ◽  
Management Strategies ◽  
Sewage Treatment ◽  
Decision Support Tool ◽  
Catchment Management ◽  
Clean Water ◽  
Support Tool ◽  
South West

The water industry over the years has primarily focussed on upgrading and investing in clean water provision. However, as research into the science and management of clean water services has progressed rapidly, wastewater provision and services has been slower. Focus, though, is now shifting within Industry and Research into wastewater services. The water regulator, Ofwat, for England and Wales demands the Sewerage Undertakers demonstrate efficient management of wastewater systems in order to obtain funding for Capital Investment projects. South West Water, a Water Service Provider and Sewerage Undertaker located in the South West of England, identified a need gap in their asset management strategies for wastewater catchments. This paper will introduce the production of a Decision Support Tool, DST, to help SWW proactively manage their Wastewater Catchments, examining Sewage Treatment Works, Pumping Stations and Networks. The paper will discuss some concepts within the DST, its production, testing and a brief case study. The DST provides a framework for prioritising catchments to optimise investment choices and actions. The Tool ranks catchments utilising Compromise Programming, CP, as well as AHP Pair-wise comparisons for preference weights. The DST incorporates Asset models, a Whole life Costing Module, as well as a Decay and Intervention Module.

Grantmaking Foundations’ Asset Management, Payout Rates, and Longevity Under Changing Market Conditions: Results From a Monte Carlo Simulation Study

2019 ◽  
Vol 49 (2) ◽  
pp. 424-447
Author(s):  
Zvika Afik ◽  
Simon Benninga ◽  
Hagai Katz
Keyword(s):  
Monte Carlo ◽  
Asset Management ◽  
Management Strategies ◽  
Problem Area ◽  
Life Cycles ◽  
Investment Strategies ◽  
Monte Carlo Simulation Study ◽  
Success Stories ◽  
Investment Returns ◽  
Grantmaking Foundations

Today’s uncertain financial markets could affect foundations’ future grantmaking capacities. We review foundations’ financial decision-making patterns and their effect on foundations’ assets, longevity goals, and payouts. Using three fictional foundations with different longevity goals and grantmaking preferences, we demonstrate the delicate balance and tight nexus between asset management strategies, payout rates, and longevity. To do so, we perform stochastic Monte Carlo simulations of multiple foundation life cycles, conducted under diverse capital market scenarios. The findings suggest that foundations should (a) readjust their return expectations to today’s less favorable markets; (b) reduce their reliance on past portfolios’ investment returns or unique “success stories” in making decisions; (c) appreciate the strong interdependence between portfolio-mix, payout rates, and longevity; (d) consider effects of their particular mission/problem area on these parameters; and (e) use tailored projection analyses that simulate various investment strategies, payouts rates, and longevity to meet their grantmaking goals.

Application of Artificial Neural Networks in Predicting the Degradation of Tram Tracks Using Maintenance Data

2020 ◽  
pp. 845-864
Author(s):  
Sara Moridpour ◽  
Ehsan Mazloumi ◽  
Reyhaneh Hesami
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Asset Management ◽  
Management Strategies ◽  
Operating Cost ◽  
Light Rail ◽  
Ann Model ◽  
Track Geometry ◽  
Artificial Neural ◽  
And Performance

The increase in number of passengers and tramcars will wear down existing rail structures faster. This is forcing the rail infrastructure asset owners to incorporate asset management strategies to reduce total operating cost of maintenance whilst improving safety and performance. Analysing track geometry defects is critical to plan a proactive maintenance strategy in short and long term. Repairing and maintaining the correctly selected tram tracks can effectively reduce the cost of maintenance operations. The main contribution of this chapter is to explore the factors influencing the degradation of tram tracks (light rail tracks) using existing geometric data, inspection data, load data and repair data. This chapter also presents an Artificial Neural Networks (ANN) model to predict the degradation of tram tracks. Predicting the degradation of tram tracks will assist in understanding the maintenance needs of tram system and reduce the operating costs of the system.

scholarly journals Asset management using a hybrid backcasting/forecasting approach

Facilities ◽  
2015 ◽  
Vol 33 (11/12) ◽  
pp. 701-715 ◽  
Author(s):  
Keith Jones ◽  
Api Desai ◽  
Mark Mulville ◽  
Aled Jones
Keyword(s):  
Climate Change ◽  
Conceptual Framework ◽  
Asset Management ◽  
Management Strategies ◽  
Management Plan ◽  
Adaptation To Climate Change ◽  
Content Type ◽  
Alternative Pathways ◽  
Future State ◽  
The Future

Purpose – The purpose of this paper is to present an alternative approach to facilities and built asset management adaptation planning to climate change based on a hybrid backcasting/forecasting model. Backcasting envisions a future state and examines alternative “pathways of approach” by looking backwards from the future state to the present day. Each pathway is examined in turn to identify interventions required for that pathway to achieve the future state. Each pathway is reviewed using forecasting tools and the most appropriate is selected. This paper describes the application of this approach to the integration of climate change adaptation plans into facilities and built asset management. Design/methodology/approach – The researchers worked with various stakeholders as part of a participatory research team to identify climate change adaptations that may be required to ensure the continued performance of a new educational building over its life cycle. The team identified 2020, 2040 and 2080 year end-goals and assessed alternative pathways of approach. The most appropriate pathways were integrated into the facilities and built asset management plan. Findings – The paper outlines a conceptual framework for formulating long term facilities and built asset management strategies to address adaptation to climate change. Research limitations/implications – The conceptual framework is validated by a single research case study, and further examples are needed to ensure validity of the approach in different facilities management contexts. Originality/value – This is the first paper to explore backcasting principles as part of facilities and built asset management planning.

High Resolution Satellite Imagery or Ortho-Photography? A Wealth of Experience From Pipeline Integrity Mapping and Oil/Gas Asset Management

2002 ◽  
Author(s):  
Steve Adam
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Asset Management ◽  
New Technologies ◽  
Spatial Information ◽  
Spatial Information Systems ◽  
High Resolution Satellite Imagery ◽  
To Come ◽  
Air Photo ◽  
Oil Gas

Since January 2000, 1m resolution satellite imagery has been commercially available from the Ikonos satellite. Recently, the Quickbird satellite also became operational acquiring images with running 70cm resolution. We commonly assume that new technologies, such as Ikonos and Quickbird, will displace traditional methods. This may be the case in the far distant future, but at the present time (and for many years to come) there is plenty of room for both high resolution satellite imagery and traditional aerial photography. In fact, air photo use is steadily increasing as spatial information systems gain popularity in industry and government.

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