THE DEVELOPMENT OF KBS MODELING TO ASSIST MATRIX ACIDIZING TREATMENT (A PRELIMINARY STUDY OF THE ZELDA B-7 WELL)

PROCEEDINGS INDONESIAN PETROLEUM ASSOCIATION
Twenty-Eighth Annual Convention & Exhibition, October 2001

THE DEVELOPMENT OF KBS MODELING TO ASSIST MATRIX ACIDIZING TREATMENT
(A PRELIMINARY STUDY OF THE ZELDA B-7 WELL)

Ardian N.*

ABSTRACT

Current economic conditions have dictated that PSC operators maximize their production or accelerate the production of their reserves. One approach is to perform well stimulations. For decades, oil wells have been stimulated using various methods such as matrix acidizing and hydraulic fracturing. However, there have been advances in the stimulation processes both in knowledge and technology incorporated. One of the major PSC operators, Repsol-YPF Maxus SES, has claimed that the current success rate of their matrix acidizing practices is typically 30 to 40%. This is considered to be average. The success rate will rely on selection of the well candidates, acid types and additives. To improve the success rate, the use of a software package to perform the selection may not be sufficient anymore. The need to incorporate an integral approach using the database of experience, history and knowledge is recommended. The tool to accomplish this is called Knowledge Base System or KBS technology, considered “one of the applications of Artificial Intelligence in Expert Systems”.

* University of Indonesia