摘要
Abstract
The Gbeibe oilfield is an old oilfield with 36 years development history in Syria, and the success rate of drilling and the production of old oil producer are very low before Chinese company took over it in 2004, the geologic characteristics and the oil and gas distribution in the reservoir fracture system are less clear, the reservoir fracture system identification technology itself is currently one of globe problem about the oilfield development technology, in view of this situation, the fault and fracture automatic identification technology which is based on the ant colony optimization(ACO) is successfully applied in Gbeibe oilfield, the technology has clarified that there are 2 fracture zone whose direction are the main east-west and north-south all over Gbeibe oilfield, and 3 fracture system which are not in communication with each other and relatively independent communication system, moreover, it also presents that the distribution of oil and gas well productivity and production is mainly controlled by fault system, that is, the high and middle oil producers are generally located in or near the fracture zone, and the longer the perforated section in the fault zone, the higher the yield, low production wells especially dry-wells are generally located far away from the fault zone in the region. After we use this technique accurately to predict the fault and fracture zone distribution and design of horizontal well in Gbeibe oilfield, the drilling success rate of horizontal well is greatly improved, up to 95%, and the daily oil production is greatly increased to 2 350 m3/d from 800 m3/d, the research achievements support the efficient development of Gbeibe oilfield.关键词
断裂体系/蚂蚁算法/自动识别/三维地震/戈贝贝油田Key words
fault and fracture system/ ant colony optimization (ACO)/ automatic interpretation/ three-dimensional seismic data/ Gbeibe oilfield分类
天文与地球科学
