A concurrent efficient global optimization algorithm applied to polymer injection strategies

Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms

“…This hybrid algorithm, it is argued, is able to more quickly converge to a solution than a GA done independently through using the PSO position displacement strategy as a mutation operator [141]. Horowitz et al [155] present a method of maximizing NPV by using a two stage method that utilizes an efficient global optimization algorithm [156] to find the optimal value for concentration of polymer in water, as well as duration of slugs and time at which to begin injections for individual injectors. This optimization is accomplished by first using a Latin hypercube technique to obtain an initial sample of designs, after which simulation runs are used to construct a metamodel.…”

Effect of partially hydrolyzed polyacrylamide on emulsification stability of wastewater produced from polymer flooding

“…When HPAM concentration increases from 0 to 500 mg/L, the viscosity value increases from 1.10 mPa s to 1.30, 1.34 and 1.38 mPa s for the case of MW of 6.5 Â 10 5 , 1.55 Â 10 6 and 3.55 Â 10 6 g/mol, respectively. As a high molecular weight polymer, HPAM can increase the viscosity of produced water (Horowitz et al, 2010;Gao, 2011;Kang et al, 2011). It has been demonstrated that the effect of HPAM on solution viscosity is positively related to the MW and concentration of the polymer (Samanta et al, 2010;Wang et al, 2011).…”

“…Currently, polymer flooding has been applied on a large scale to offshore oilfields and has produced remarkable results in enhancement of oil recovery (Horowitz et al, 2010;Kang et al, 2011). Nevertheless, the application of polymer flooding in the offshore environment is quite complex and encounters some technical challenges due to limited space and the absence of fresh water source on the platform (Zhou et al, 2007).…”

Polymer flooding design and optimization under economic uncertainty

“…A major limitation of such approach is cost. This is since, in simulation-based optimization, each functional evaluation requires a complete run, which is computationally expensive (Horowitz et al, 2010). A second issue, according to Horowitz et al (2010), is the possible multimodality of some problems.…”