FRACTURE CHARACTERIZATION OF CARBONATE RESERVOIR USING INTEGRATED SEQUENTIAL PREDICTION OF ARTIFICIAL NEURAL NETWORK: CASE STUDY OF SALAWATI BASIN FIELD

摘要

Fracture characterization has been conducted in the Salawati Field at Kepala Burung block of Papua, Indonesia. This field has several carbonate facies reservoirs. The production of this field is believed has been controlled by fracture system. The carbonate rock characterization is quite complex, because of the complexity of various matrix, pore system, and also consider of chemical reaction produced from fluid interaction in interior wall of their pores space which make their wave propagation system becoming more complex. This carbonate complexity requires special treatment to precisely characterize the reservoir.