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Additional resources for Optimization of Well Placement and Assessment of Uncertainty
4 for the three experiments are given in Fig. 5. 8 simulations) compared to the simple GA with much less uncertainty about the run performance (Fig. 5). CHAPTER 3. 5: Comparison of the means (crosses) and the standard deviations (error bars) for diﬀerent combinations of Genetic Algorithm (GA), Polytope method (P) and Kriging (K) for the injector placement problem on the 32 × 32 synthetic case. 4 Well Indexing The way the well-blocks are indexed is important since it determines the behavior of the evaluation function.
The Building Block Hypothesis naturally follows the schema theorem: Building Block Hypothesis A genetic algorithm seeks near optimal solutions through the juxtaposition of short, low-order, high-performance schemata, which are called the building blocks of the solution. 6 Deception One should understand the GA phenomenon known as deception, to be able to use them eﬃciently. In the previous section we showed that the genetic algorithm brings together ﬁt, short, low-order building blocks in the eﬀort to create a ﬁtter individual.
Production from the Miocene commenced in April 1995. The oil has very favorable properties which help in achieving high production rates. 38 cp, and the gas-oil ratio (GOR) was initially 1037 SCF/STB and climbing with increased production. The very restricted range of variability in the producing wells emphasizes the connectivity in the Miocene reservoirs. There are 12 wells in operation, ﬁve drilled from the platform to the north during Phase I, and seven drilled from the template during Phase II.