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Capital Cost Estimating @ Fluor June 2006 Arjen Blok Chief estimator Haarlem.

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Presentation on theme: "Capital Cost Estimating @ Fluor June 2006 Arjen Blok Chief estimator Haarlem."— Presentation transcript:

1 Capital Cost Estimating @ Fluor
June 2006 Arjen Blok Chief estimator Haarlem

2 Fluor Overview Publicly owned engineering, procurement, construction and maintenance company 2005 revenues of $13.2 billion 2005 new awards: $12.5 billion 2005 backlog: $14.9 billion 37,000 employees worldwide Offices in more than 25 countries Major European offices: Haarlem, the Netherlands; Madrid, Spain; Camberley,UK; and Gliwice, Poland. Consistently one of the world’s safest contractors

3 Presentation purpose EPC contractors current outlook
EPC contractors view on Estimating Integration of Estimating tools in engineering environment Aspen Kbase solution

4 EAME Market Summary Strong Upstream Oil and gas markets
Drivers: high prices, reserve replacement, energy supply security, product demand Thriving LNG and gas processing sector Complex projects drive increased client capex spending Up to $50 billion in new contracts expected in ME alone in 2006 National oil companies less reliant on international oil majors Refining upgrades/capacity expansions, new plants in Middle East Fluor is pursuing about $20bn in regional prospects Market focus shifts from clean fuels to conversion Gas-to-Liquids, Integrated Gasification Combined Cycle Regulatory environment drives European Union biofuels projects New Petrochems/Chemicals complexes, primarily in Middle East Chemical/plastics opportunities developing Chemical markets may be peaking, downturn expected

5 EAME Market Summary Power Generators focus on capacity shortages / fuel supply Carbon Agenda drives environmental upgrades, emissions trading European Union market deregulation, M&A activity Nuclear new-build debate Market risks Shortage of skilled personnel Geopolitics / political instability Feedstock / material costs Regulatory / environmental issues Contractor Issues Record backlog levels resulting in very selective bidding More lump sum conversion contracts Pressure on staffing, use of full service low cost engineering centres Supply chain management, global procurement to contain equipment/ material costs

6 Impact on Operations Selectivity Lump sum conversion contracts
Business risk assessment Early indication of cost for investment and pursuit decisions Lump sum conversion contracts Transparency and accuracy of estimates Joint development High focus on contingencies and allowances Estimate centric execution / Change management Pressure on staffing  dispersed execution  interfaces Growth of GEC component, multiple offices Partnering National companies Supply chain management, global procurement for equip. & materials Price instability & risk Out of sequence engineering Increased focus on quantities Quality Increased audits, inspection Reliability is key

7 EPC contractor view on Estimating
Why preparing estimates Bidding work EPCm Services EPC Service in project development Support investment decisions Project execution basis Capex Cost only Engineering Procurement equipment & materials Prefabrication Erection (up to Mechanical Completion)

8 EPC contractor view on Cap Cost Estimating
Fluor follows AACE classification rules 18R-97

9 EPC contractor view on Cap Cost Estimating
Estimating tool = AspenTech Kbase Design estimating tool, provided with Scope & Construction models, Design rules & Engineering rules of thumb => Quantities Pricing & labour basis Estimating scope defined by available engineering data Equipment data, Flow sheets , Plot Plan, etc The earlier the estimate, the more use of Kbase technology Class 4 & 3 Class 2 Replace Kbase models by BE info & execution plan

10 Integrated Design Build SM (IDB)
History Trail Change Notification Data Release Data Ownership Single Data Entry Data Status

11 General specifications
Estimating data flow General specifications Area Information Kbase Equipment data Utility Systems P&ID information Plot plan information

12 Connection IDB -> Kbase
AspenTech solution: API Application Programming Interfaces Allows automated data sharing in a controlled manner Considerations Quality of data Ownership of data Timing / availability of data Status of data Revision of data Timing of activities for engineering disciplines is influenced by estimating

13 Fluor’s API’s Area Manager Equipment API MHCD Aspen Zyqad Electronic
List Kbase Utility Systems API Bulk API Piping Manual MTO 3D Model Instrument Manual MTO INTOOLS

14 Equipment API Obtain Equipment data from Kbase to Excel
Import data from Excel file back to Kbase Advantages More simple input of equipment data Link from Kbase to any obtained excel equipment list Possibility to make use of applicable data from other electronic sources such as Aspen Zyqad Aspen Zyqad Kbase Equipment API Electronic Equipment List MHCD

15 Conclusion Market demands us to do it better, cheaper, faster
=> Automation Estimating has great desire to connect to Engineering ! Controlled manner, considering status of project definition Engineering should have desire to connect to Estimating Estimate is Base Line Document Kbase API’s provide great capabilities ? Can ISO help further developments, considering : Estimating (in)dependency Accuracy of an estimate is not driven by details

16 Capital Cost Estimating @ Fluor Thank you for you attention
June 2006 Arjen Blok Chief estimator Haarlem


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