Oil-field scales result from changes in the physicochemical properties (pH, temperature, pressure etc.) of the produced fluids and/or due to the chemical incompatibility between waters having different compositions (e.g., formation brine and injection brine). Nevertheless, the comprehensive modeling and prediction of such phenomena remains a challenge, due to the complexity of the precipitation kinetics and chemical reaction processes that occur in the reservoir. Hence, it is the case that often reactions in the reservoir are not considered on evaluation of the scaling tendency, probably because they are difficult to measure and also, to model the calculations considerable effort and expertise is required.Since no comprehensive geochemical-based modeling has been applied in this research area, in this work, a previously developed robust, accurate, and flexible integrated tool, UTCHEM-IPhreeqc, is used to model the comprehensive geochemistry to predict scales problem for field scale applications.IPhreeqc, the United States Geological Survey geochemical tool, is able to simulate both homogeneous and heterogeneous (mineral dissolution/precipitation), irreversible, and ion-exchange reactions under non-isothermal, nonisobaric and both local-equilibrium and kinetic conditions. Through coupling of IPhreeqc with UTCHEM, The University of Texas at Austin research chemical flooding reservoir simulator, the entire geochemical capabilities of IPhreeqc can be used in a multi-dimensional and multiphase reservoir simulator for comprehensive reactive-transport modelings.In this paper, the importance of ion activities, temperature, and pressure in the reactive-transport modeling is emphasized by performing several sensitivity analyses. Oilfield scale is quantified by including the effect of dissolution or precipitation of all possible minerals (either initially present or subsequently precipitated by injecting an incompatible water) on the reservoir petrophysical properties (e.g., porosity). Three common permeability-porosity approaches (Modified Fair-Hatch, Kozeny-Carman, and Verma-Pruess models) are then implemented in the UTCHEM-IPhreeqc simulation tool to model the effect of scalings on the reservoir permeability. To show how well this integrated tool can be applied for field scale applications, a synthetic five-spot pattern is presented using several water compositions.