The integration of dynamic reservoir modelling into development planning studies for the greater burgan field

Abstract

Ranges of major projects are under consideration for the Greater Burgan field. Realistic simulation models can play an important role in establishing a reference development case and in identifying possible improvements to such a case. Efforts to optimize the development of Wara-Burgan reservoirs involve evaluation of water-flood options in addition to studies of in-fill drilling, different well types, artificial lift implementation, projects sequence and a range of reservoir management options. This paper discusses the work that has been carried out to provide guidance to reservoir development studies using reservoir simulation in Greater Burgan field. The use of the simulation model in evaluating development options and estimating future performance is described with particular emphasis on the following areas: Firstly, the challenges of accounting for the mismatch between the simulated and observed pressure and saturation distributions at the end of history are described. This work involved comparing views of future developments based on the simulation model with those based on surveillance data. It also helped inform views on where the development plans are likely to be unrealistic and allowed the development of some reservoir volumes to be excluded from consideration. Secondly, the approach to modeling existing wells was reviewed. Challenges related to adequate transition between history and prediction are described to ensuring that the approach to well management in the prediction cases did not cause unrealistic changes to water cut at the level of production facilities. Thirdly, the incorporation of approved/planned/budgeted project developments in the upcoming years empowers the degree of realism and constraints incorporated to the forecasting developments. Lastly, the approach to accounting for some limited degree of uncertainty in predicted performance is described. The above challenges are typical of those faced in using history-matched models of large complex fields with extensive production history. Incorporation and modeling of extensive future developments make forecasting a major task. The approach used to developing predictive cases in Greater Burgan field has allowed informed decisions to be made on development planning issues. Projects contributions are quantified and critical projects are identified. Definition of alternative options to sustain asset production targets are also discussed.