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海拉尔盆地复杂断块油藏开发动用次序 被引量:3

DEVELOPED ORDER OF COMPLEX FAULT-BLOCK OIL RESERVOIR OF HAILAR BASIN
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摘要 海拉尔盆地地质条件复杂,多物源导致各个断块的储层差异大,砂体分布状况、油水关系复杂,加大了储量优选评价工作难度,直接影响油田的开发决策。因此,通过分析海拉尔盆地储层、岩性、流体性质等影响产能评价的参数,利用接近理想解的综合评价方法,对海拉尔盆地复杂断块油藏储量进行综合评价,可了解储量的资源品质状况。根据海拉尔盆地实际情况,通过采用断块规模、有效厚度、井控程度、储量丰度、采油强度、流度、深度、渗透率8个指标的评价体系,结合层次分析法确定的指标权重,增强了综合评价方法的科学性和适用性,建立了一套适合复杂断块油藏的有利开发区块优选评价体系。经与实际情况对比,方法结果可靠,应用价值大。 The complex geological conditions and multiple material sources of Hailar Basin result in series differences in each reservoir of fault blocks and complications of both sandbody distribution and oil-and-water relations, thus the difficulty to the optimal appraisal of the reserves is increased and the decision making of the oilfield development is directly influenced. Therefore through the productivity-influencing parameters analyses of reservoirs, lithologies, flow properties and so on, and furthermore with the help of the comprehensive evaluating method close to ideal solution, the combined appraisal of the reserves of the complex fault-block oil reservoir in the basin is conducted and the resources quality can be made known. According to the actual conditions of Hailar Basin, by means of adopted evaluating system with 8 indexes: fault size, effective thickness, well controlled degree, reserves abundance, oil production intensity, mobility, depth and permeability, integrated with the index weight determined by AHP ( analytic hierarchy process) , the scientism and adaptability of the comprehensive evaluating method have been enhanced and moreover a set of optimal assessing systems suitable for the favorable development blocks of the complex fault-block oil reservoir have been established. By contrasting with actual situation, the results of the method is reliable and possesses a large application value.
出处 《大庆石油地质与开发》 CAS CSCD 北大核心 2012年第1期56-60,共5页 Petroleum Geology & Oilfield Development in Daqing
基金 中国石油股份有限公司科学研究与技术开发项目“海拉尔-塔木察格盆地复杂断块油藏有效开发配套技术”(2008E-1205).
关键词 复杂断块油藏 开发动用次序 接近理想解方法 层次分析法 决策模型 complex fault-block oil reservoir developed order close-to-ideal solution method analytical hierarchy process (AHP) decision-making model
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