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Fleet Optimization for Oilfield Production Enhancement Services

Fleet Optimization for Oilfield Production Enhancement Services. Principal Investigator: Ricki G. Ingalls, Ph.D. RA: Ananth Krishnamoorthy, Rajesh Veliyanallore Oklahoma State University School of Industrial Engineering & Management. Halliburton Fleet Sizing Project.

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Fleet Optimization for Oilfield Production Enhancement Services

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  1. Fleet Optimizationfor Oilfield Production Enhancement Services Principal Investigator: Ricki G. Ingalls, Ph.D. RA: Ananth Krishnamoorthy, Rajesh Veliyanallore Oklahoma State University School of Industrial Engineering & Management

  2. Halliburton Fleet Sizing Project • Increase asset utilization and efficiency • By determining an optimal configuration of production enhancement equipment at camps for a given set of potential jobs • How many numbers of each equipment type needed • What will be the economic impact • Develop a working tool to optimize the type of equipment that should be deployed to different production enhancement camps across the company

  3. Problem Description • Oilfield Production Enhancement Services serves a number of wells each year from each of their camps • Each camp must serve all demand while minimizing total annual fleet charges • Scope - fleet of equipment consisting of pumps, blenders, pre-blenders, mountain movers, and associated tractors and personnel • All other equipment and personnel remain unchanged

  4. Equipments

  5. Optimization Tool Annual Demand Data Xpress Optimization Model Fleet Config. Equipment Data Annual Budget MS EXCEL MS EXCEL

  6. Inputs - Demand Well_Num, Acid, Chem_Wt, Max HHP, Job Rate, CF, Well_Pr, Miles_to_Well,Labor_Hrs_at_Well SAP • Costs – Mileage , Labor Internal System Users

  7. Inputs - Equipment • Pumps • Acid / Non-Acid • Horse-Power • Job rate / Flow Rate • Nozzle • Blenders & Pre-blenders • Barrels Per Minute Rating • Mountain Movers • Cubic Feet Rating • Costs • Depreciation • Repair and Maintenance

  8. Optimization Model • What is the “Best” fleet size for the given Demand Requirement • Brand New Fleet Composition • Start with Existing Equipment Fleet • Business Constraints • Capacity required at each well for each type of requirement (Pump, blender, etc..) • Equipment Utilization • Buying and Selling Equipment

  9. “Best” Fleet Size for the Given Demand Requirement • Equipment Depreciation • Equipment Repair & Maintenance • Labor • Fuel / Mileage • Salvage

  10. Business ConstraintsEquipment Utilization • Utilization • Usage of any piece of equipment is restricted to a certain Utilization • No redundancies assumed

  11. Business Constraints- Buying and Selling Equipment • Buying and Selling Equipment • New Buys • Existing Equipment • Keep • Intra-Company transfer & Salvage value • Num Required = Existing + New Buys – Transfers • Either New Buy or Transfer but NOT BOTH

  12. Results, Key Insights & Discussion • Customer Weight v/s Chemical Weight Results are within $100,000 (1 % approx.) • Convergence • Run Time: 15 to 45 Minutes to get within 2.5 % • Equipment costs and equipment commonality in solution • Verification and Testing

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