The Mathematical Institute, University of Oxford, Eprints Archive

Optimal Multilateral Well Placement

Farmer, Chris L. and Fowkes, Jaroslav and Gould, Nicholas I. M. (2010) Optimal Multilateral Well Placement. Technical Report. EAGE, proceedings of the 12th European Conference on the Mathematics of Oil Recovery, Oxford.

[img]
Preview
PDF
4Mb

Abstract

The oil industry is often faced with the problem of finding the optimal location and trajectory for an oil well. Increasingly this includes the additional complication of optimising the design of a multilateral well. We present a new approach based on the theory of expensive function optimisation.

The key idea is to replace the underlying expensive function (i.e. the simulator response) by a cheap approximation (i.e. an emulator). This enables one to apply existing optimisation techniques to the emulator. Our approach uses a radial basis function interpolant to the simulator response as the emulator. Note that the case of a Gaussian radial basis function is equivalent to the geostatistical method of Kriging and radial basis functions can be interpreted as a single-layer neural network. We use a stochastic model of the simulator response to adaptively refine the emulator and optimise it using a branch and bound global optimisation algorithm.

To illustrate our approach we apply it to finding the optimal location and trajectory of a single multilateral well in a reservoir simulation model using the industry standard ECLIPSE simulator. We compare our results to existing approaches and show that our technique is comparable, if not superior, in performance to these approaches.

Item Type:Technical Report (Technical Report)
Subjects:H - N > Numerical analysis
Research Groups:Numerical Analysis Group
ID Code:977
Deposited By:Lotti Ekert
Deposited On:22 Oct 2010 07:55
Last Modified:22 Oct 2010 07:55

Repository Staff Only: item control page