基于蚂蚁算法的断裂自动识别技术在叙利亚戈贝贝油田的应用
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
叙利亚戈贝贝油田为已开发36a的老油田,2004年之前其钻井成功率和油井产量均很低,主要原因是储层断裂体系分布规律及油藏地质特征不明确,而储层断裂体系识别是目前困扰石油开发的世界性难题之一。将基于蚂蚁算法的断裂自动识别技术应用于戈贝贝油田,对断裂体系进行识别,结果表明,研究区的断裂带主要呈东西和南北走向,发育3个彼此不连通且相对独立的断裂连通体系;其油气分布及生产井产能主要受断裂体系控制,高产井和中产井一般位于断裂带及其附近,且在断裂带中生产井段越长,其产量越高。低产井特别是干井一般位于远离断裂带的区域。通过准确描述研究区的断裂带发育特征,新钻水平井成功率大幅提高,达95%,产油量由800m3/d提高至2350m3/d。
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 2350 m3/d from 800 m3/d, the research achievements support the efficient development of Gbeibe oilfield.
引文
[1]王延光.胜利油区时移地震技术应用研究与实践[J].油气地质与采收率,2012,19(1):50-54.
    [2]王希平,李海英,杨玉杰.蚂蚁体断裂自动追踪技术在塔河油田盐下地区的应用[J].石油实验地质,2012,34(S1):50-52.
    [3]乐群星,魏法杰.蚂蚁算法的基本原理及其研究发展现状[J].北京航空航天大学学报:社会科学版,2005,18(4):5-8.
    [4]朱刚,马良,高岩.元胞蚂蚁算法的收敛性分析[J].系统仿真学报,2007,19(7):1442-l444.
    [5]刘中春.塔河油田缝洞型碳酸盐岩油藏提高采收率技术途径[J].油气地质与采收率,2012,19(6):66-68,86.
    [6]邬光辉,成丽芳,刘玉魁,等.塔里木盆地寒武—奥陶系走滑断裂体系特征及其控油作用[J].新疆石油地质,2011,32(3):239-243.
    [7]杨贵祥,黄捍东,高锐,等.地震反演成果的沉积学解释[J].石油实验地质,2009,31(4):415-419.
    [8]张玲,侯庆宇,庄丽,等.储量估算方法在缝洞型碳酸盐岩油藏的应用[J].油气地质与采收率,2012,9(1):24-27.
    [9]罗群.断裂带的输导与封闭性及其控藏特征[J].石油实验地质,2011,33(5):474-479.
    [10]刘成斋,王成礼,王鑫,等.地震数据体中非正常地震道的自动识别与评价方法[J].油气地质与采收率,2009,16(4):56-57,67.
    [11]段海滨,王道波,朱家强,等.蚁群算法理论及应用研究的进展[J].控制与决策,2004,19(12):1321-1325.
    [12]童亨茂.储层裂缝综合预测方法在戈贝贝油田的应用[J].海外勘探,2004,25(6):639-643.
    [13]王军,吕小伟,王立歆.基于正演模型的地震处理技术保幅性分析与评价[J].油气地质与采收率,2012,19(4):46-49.
    [14]赵从俊,欧振洲.川南区域构造体系特征与油气富集关系[J].石油实验地质,1981,3(3):166-170.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心