Overcome reservoir heterogeneity challenges by utilizing rock typing techniques

Abstract

Once a field has been identified, and a general method of reservoir exploitation decided, there are several methods to achieve the reservoir management goal. Still, some ways may cost twice as much as others. The most critical operations to developing a field are drilling of wells, and it overemphasizes which in the early stages of field development. Identifying well position and reservoir properties arrange as the most critical step for field development. 

In the Arabian Gulf, most of the carbonate reservoirs are defined by complex textural heterogeneity that corresponds to extreme petrophysical properties changes (Turkey et el , 2018) [11], which are the controlling factor in reservoir production and well position. In addition to introducing more challenges into history matches, the absence of the initial fluid saturation increased the risk and uncertainties associated with the model., that becomes necessary to perform the task of discuses new technics that should be used to characterize reservoir and determine well position, that is the objective of this study to characterized reservoir rock by distributing petrophysical rock types, porosity, and permeability and applied rock typing to determine well position. Several approaches were performed to determine which method was more reliable for X Field. FZI*showed a better result than other methods, thus FZI*was used as a heterogeneity indicator of the reservoir that distributed the petrophysical type according to its pore throat. It has created three petrophysical rock types, which depend on specific porosity and permeability trends. The Petrophysical rock type, porosity, and permeability are distributed in the form of a 3D model using the Geostatic model.

As a result, it was shown that the porosity of petrophysical rock types 3 in the X region is well defined with approximate porosities varying from 0.174–0.256 and permeability between 237.4–349.29.