A simple 3-D physical model has been developed to investigate the use of in-situ combustion in heterogeneous reservoirs. Gas over-ride phenomena is one of the major causes of instability of combustion process; gas override results in poor sweep efficiency with subsequent low oil recovery. However, the use of horizontal wells in direct line drive arrangement has shown a great deal of combustion stability and propagation by means of controlling gas override This paper has extended the scope of using horizontal wells in direct line drive configuration in heterogeneous reservoirs. Three cases of reservoir heterogeneity were investigated in this study. In the first case, a dual-layer permeability of sand was used (a high permeability layer on top and a low permeability layer on bottom); in the second case, placement of the aforementioned layers was swapped, and in the third case, a high permeability streak was sandwiched between two low permeability layers of fine sand. The results indicated that a stable combustion front has been achieved in the first two cases with a high oil recovery, however the performance of the combustion process markedly deteriorated when a high permeability streak layer was utilised as a result of a severe low temperature oxidation due to oxygen channelling through the streak, with subsequent poor sweep efficiency and in turn low oil recovery. The use of horizontal wells as producers and injectors in a line drive configuration is beneficial and effective for minimising the effect of reservoir heterogeneity to some extent. 相似文献
Combined simulation–optimization (CSO) schemes are common in the literature to solve different groundwater management problems, and CSO is particularly well-established in the coastal aquifer management literature. However, with a few exceptions, nearly all previous studies have employed the CSO approach to derive static groundwater management plans that remain unchanged during the entire management period, consequently overlooking the possible positive impacts of dynamic strategies. Dynamic strategies involve division of the planning time interval into several subintervals or periods, and adoption of revised decisions during each period based on the most recent knowledge of the groundwater system and its associated uncertainties. Problem structuring and computational challenges seem to be the main factors preventing the widespread implementation of dynamic strategies in groundwater applications. The objective of this study is to address these challenges by introducing a novel probabilistic Multiperiod CSO approach for dynamic groundwater management. This includes reformulation of the groundwater management problem so that it can be adapted to the multiperiod CSO approach, and subsequent employment of polynomial chaos expansion-based stochastic dynamic programming to obtain optimal dynamic strategies. The proposed approach is employed to provide sustainable solutions for a coastal aquifer storage and recovery facility in Oman, considering the effect of natural recharge uncertainty. It is revealed that the proposed dynamic approach results in an improved performance by taking advantage of system variations, allowing for increased groundwater abstraction, injection and hence monetary benefit compared to the commonly used static optimization approach.