Optimising Reservoir Development under Uncertainty using Cloud Computing

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Abstract

This paper demonstrates that it is practical to optimise a reservoir development plan under uncertainty using a combination of cloud computing, a modern fast reservoir simulator and state of the art optimisation algorithms. The reservoir model was a synthetic model developed from a real reservoir. The uncertainties considered were based on those in the real reservoir: structural parameters, facies and porosity, faults, fluid properties and fluid contacts. The optimisation of the well locations and the simulation of the realisations was carried out using commercially available software in just a few days at a cost of a few hundred US$. The mean net present value of the optimised result twice that of the plan proposed by a
reservoir engineer with more than 25 years experience.
Original languageEnglish
Number of pages22
JournalComputational Geosciences
Publication statusSubmitted - 2018

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Cloud computing
Cloud Computing
Uncertainty
Fluids
Contacts (fluid mechanics)
Porosity
Simulators
Engineers
Net Present Value
Fluid
fluid
Structural Parameters
Costs
simulator
Optimization Algorithm
Simulator
Fault
porosity
Optimise
Contact

Keywords

  • Uncertainty Optimisation Petroleum

Cite this

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title = "Optimising Reservoir Development under Uncertainty using Cloud Computing",
abstract = "This paper demonstrates that it is practical to optimise a reservoir development plan under uncertainty using a combination of cloud computing, a modern fast reservoir simulator and state of the art optimisation algorithms. The reservoir model was a synthetic model developed from a real reservoir. The uncertainties considered were based on those in the real reservoir: structural parameters, facies and porosity, faults, fluid properties and fluid contacts. The optimisation of the well locations and the simulation of the realisations was carried out using commercially available software in just a few days at a cost of a few hundred US$. The mean net present value of the optimised result twice that of the plan proposed by areservoir engineer with more than 25 years experience.",
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AB - This paper demonstrates that it is practical to optimise a reservoir development plan under uncertainty using a combination of cloud computing, a modern fast reservoir simulator and state of the art optimisation algorithms. The reservoir model was a synthetic model developed from a real reservoir. The uncertainties considered were based on those in the real reservoir: structural parameters, facies and porosity, faults, fluid properties and fluid contacts. The optimisation of the well locations and the simulation of the realisations was carried out using commercially available software in just a few days at a cost of a few hundred US$. The mean net present value of the optimised result twice that of the plan proposed by areservoir engineer with more than 25 years experience.

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