低渗透油藏流动单元划分及水淹层识别——以宝浪油田宝北区块为例  

FLOW UNIT CLASSIFICATION AND WATERED-OUT LAYER IDENTIFICATION FOR LOW-PERMEABILITY RESERVOIRS --TAKING BAOBEI BLOCK OF BAOLANG OILFIELD AS AN EXAMPLE

作　　者：梁杰锋[1] 黄郑[1] 付晓燕[2] 周永强[1] 王胜任[3] 

机构地区：[1]河南油田分公司石油勘探开发研究院,河南南阳473132 [2]河南油田分公司对外合作处,河南南阳473132 [3]河南油田分公司采油二厂,河南唐河473400

出　　处：《大庆石油地质与开发》2009年第6期105-109,共5页Petroleum Geology & Oilfield Development in Daqing

摘　　要：宝浪油田宝北区块Ⅲ1层为低渗透砂砾岩储层，厚度大，微裂缝较发育。历经10年注水开发后，该区块地下油、水分布复杂，识别水淹层难度大。针对生产效果变差、自然递减率增大的矛盾，应用聚类分析法和神经网络技术对低渗透砂砾岩厚油层流动单元进行了划分，将储层划分为A、B、C、D、E 等5类流动单元。在划分流动单元的基础上，根据岩电实验和中子寿命测井解释成果等建立了不同水淹类型的流动单元测井解释模型，对厚油层水淹层进行定量解释。现场投产新井验证结果表明，模型计算含水饱和度结果与生产实际符合率超过85%，识别精度与常规电测解释结果相比有大幅度提高。Layer Ⅲ1 in Baobei Block of Baolang Oilfield is characterized by thick low-permeability glutenite reser- voir and well-developed fractures. After water flooding in this block for 10 years, the underground oil and water are rather complicatedly distributed, so the watered-out layers are seriously difficult to be identified. In view of the con- tradictions of poor production effects and increasing natural decline rate, by adopting clustering analysis method and neural network technique, the flow units of thick reservoirs are classified into 5 kinds in low-permeability glutenite ： A, B, C, D, E. On the basis of the above classification, according to the results of litho-electrie experiment, neutral lifetime logging interpretation and so on, well logging interpretation models for the flow units of different- type watered-out reservoirs are established, thus the quantitative interpretation for thick watered-out oil layers can be realized. The results proven by putting new wells into production in the field show that the coincidence ratio of the water saturations between model calculation and practical production is more than 85 %, that is to say the above identification precision is pretty higher than that of conventional resistivity logging interpretation.

关 键 词：低渗透厚油层 流动单元 水淹层 定量识别 

分 类 号：TE121[石油与天然气工程—油气勘探]