Abstract
Mutiara-Pamaguan Field are gas - oil field, located onshore in Sanga-Sanga PSC, Kutai Basin, East Kalimantan, Indonesia, consist of numerous complex- stacked-sand of deltaic environment. The challenge to fully develop the field is lack of knowledge on reservoir distribution and geometry. A semi-statistical (grid base) drilling has been applied as development strategy to increase the near term production rate and maximize recovery from these fields. The paper will focus on the "grid base" drilling development concept and actual results.
A justification to drill the wells is used to be focused on the incremental reserves coming from the remaining recoverable reserves of the known-reservoirs that can be predicted by combining the static and dynamic modelling. Unfortunately, hydrocarbon in place and recoverable reserves from the new-pools zones can only be determined after drilling. It is a challenge to predict new-pools zones in fluvio-deltaic reservoir due to reservoir uncertainty. However, the drilling results statistic improves the understanding of relationship between the distances from the new well to the existing wells with the hydrocarbon reserves from the unknown-reservoirs. Based on the complete understanding of known-reservoir and statistical knowledge of unknown-reservoir, a grid base drilling concept was then implemented to further develop the crestal area and to add a take-off point on spares in Mutiara - Pamaguan Field.
The actual results from the last three years have successfully sustained field production. The grid base wells have delivered more than 52 bcf and 2 mmbo of incremental reserves, and turned around Mutiara- Pamaguan production rate. The production performance has increased from 100 mmscfd to 125 mmscfd whereas oil production has doubled from 4000 bopd to 8000 bopd.
Currently grid base wells contribute 75% of that production. In term of development cost ($/boe), a successful of grid bas drilling strategy in Mutiara and Pamaguan Fields is one most efficient field development in Sanga-Sanga PSC.