Modeling Nanoparticles Effects on Optimization of Acid Dissolution Performance and Self-diverting in Carbonate Reservoirs and Compare it with Conventional Acid

Fluid is more mobile in high permeable media than low permeable one; therefore, the acid movement is faster in the first one. This is important because low permeable media often need acidizing treatment. At this stage, a diverter agent such as nanoparticle is felt to move the acid to the low permeable areas. Performing tests for specific conditions in the laboratory requires time and cost. Probably sometimes, a test can also be repeated several times to improve the results. Also, the effect of specific parameters on each other and the results of the test are also unknown. So for these reasons, modeling work is needed and should be done. The simulation of conventional acid injection was performed to determine the breakthrough volume of the acid without diversion. Next, the properties associated with nanoparticles such as the movement of nanoparticle in the medium based on the Random Walking Particle Tracking theory are studied. In addition, a model for investigating attachment and detachment of particles from surfaces is employed. The gel generates resistance against the high perm zone which causing acid diverts to low perm media. The amount of gelling creation depends on aggregation term. The change in the viscosity of the fluid is measured by using Krieger viscosity model. In addition, finally, acid will be converted into diverting acid. One important finding of this study is that usage of gelling acid leads to less Breakthrough volume, Thus the usage of gelling acid is found to be more efficient than using conventional acid. Moreover, the addition of nanoparticles decreases the average breakthrough volume up to 50%.