Characterization of Reservoir by Using Geological, Reservoir and Core Data

Zohreh Movahed, Farzaneh Aghajari and Ali Movahed

Background and Objective: Getting to the Asmari reservoir is not so easy in some cases due to structural complexities. The well test analysis is not enough accurate in describing fracture properties. Permeability analysis of dual-porosity systems can be best evaluated using the FMI but the oil company was not using permeability from FMI in a case when there are no formation testing data in the well for fracture and reservoir modelling. The objective of this study is to develop an accurate structural model for the Asmari reservoir by interpreting dip as input data for permeability analysis from FMI, fracture characterization in the borehole by interpreting image logs as input for permeability analysis from FMI and computing index permeability. Materials and Methods: There are no proven means for directly measuring the permeability in fractured except for well testing and coring which imply high cost. Recent advances in image logging and interpretation techniques using appropriate software have allowed consistent and reliable identification of geological features and petrophysical analysis providing distinct advantages over conventional core data for reservoir characterization. Results: Prediction of the index permeability is the distinct advantage of image logging by using orientation and dip data provided. This paper presents a methodology and applicability of measuring permeability from borehole electrical images recorded in heterogeneous carbonate reservoirs. The FMI results are compared and calibrated with permeability derived MDT and core permeability. Conclusion: It is observed that the permeability values obtained by using the proposed workflow represent more closely the permeability formation signatures and core permeability in the heterogeneous carbonate reservoir.

View Fulltext Back