CONDENSATE PRODUCTION OPTIMIZATION IN THE ARUN GAS FIELD
In the Arun Field, Mobil Oil Indonesia Inc. (MOI) has implemented a condensate production optimization program on its Supervisory Control and Data Acquisition (SCADA) system. This program has been proven successful in improving 3200 BPD at 2,270 MMSCF daily average separator gas flowrate.
The Arun gas field is located in the Aceh province, about 350 kms. southeast of its capital city, Banda Aceh, Sumatra Island, Indonesia.
The reservoir is a carbonate reef reservoir. The net volume is 11.5 million acre-feet with the average net pay thickness of 494 feet. The 10,000 feet subsea, while the highest encountered limestone top is 9400 feet subsea.
The production facilities are located within four (4) individual clusters which contain the producing wells, well stream coolers and separators. Cluster II and Cluster III have one (1) and two (2) gas reinjection compressors respectively.
There are 35 production wells currently in the four clusters and ten (10) gas injection wells (GIWs) into the thickest part of the formation around the North, West and South flanks of the field.
Gas condensate and water are separated at each cluster through two (2) identical process trains. The gas and condensate are gathered at a central pipeline manifold and metering station at Point A. Point-A is situated between Cluster II and Cluster III at the center of the field as per Figure 1. This is also the location of the field administrative offices, power generators, warehouses, maintenance shops and Central Control Room (CCR). CCR coordinates field production and emergency communications.
Each cluster was designed to be identical. Each cluster has locations for up to 16 production wells, most of which are deviated to achieve maximum spread of bottom hole locations as per Figure 2.
Well and individual cluster process controls are located in, and mainly operated from, the Cluster Control Room. The operation of Cluster Control Rooms and CCR are connected by the SCADA system. This enables operators at CCR to monitor cluster operating conditions and to coordinate production.