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您的位置:首页 -> 词典 -> 电位法监测剩余油分布技术
1)  electric potential method monitoring residual oil distribution
电位法监测剩余油分布技术
2)  remaining oil distribution forecast
剩余油分布预测
1.
Oilfield remaining oil distribution forecast' are called world-level difficult problems by oil domain specialists in the world.
油田剩余油分布预测被国内外石油领域专家公认为世界难题,目前,其预测准确率低的根源在于或者只考虑部分客观证据、或者只考虑部分主观证据,导致对剩余油分布水淹类型等特征分类准确率低、可靠性差。
2.
In order to improve effectively the accuracy rate and reliability of remaining oil distribution forecast in oil field,a new model is proposed,which utilizes the merits of BP neural network combination model and two-level D-S evidence reasoning model and avoids their demerits.
为了有效地提高油田剩余油分布预测的准确率和可靠性,通过BP神经网络联合模型与两级D-S证据推理模型的优势互补进行主客观证据融合,实现了剩余油分布多属性特征的准确分类。
3)  remaining oil monitoring
剩余油监测
4)  Residual Oil Distribution
剩余油分布
1.
Application of numerical simulation technology in residual oil distribution forecast of complicated fault-block reservoirs;
应用数值模拟法研究复杂断块油藏剩余油分布
2.
Current situation and prospect of residual oil distribution forecast;
剩余油分布研究现状及展望
3.
Study on residual oil distribution in s3mid of Block Wen203;
文203断块沙三中剩余油分布研究
5)  remaining oil distribution
剩余油分布
1.
Key factors of remaining oil distribution of the lowest permeable sandstone reservoir and favorable area evaluation;
特低渗透砂岩油藏剩余油分布的主控因素及有利区块评价
2.
Study on stochastic modeling of architectural element and remaining oil distribution in fluvial facies reservoir;
河流相建筑结构随机建模与剩余油分布研究
3.
Study on the remaining oil distribution law after polymer flooding and potential tapping measures;
聚驱后剩余油分布规律及挖潜对策研究
6)  distribution of residual oil
剩余油分布
1.
The primary factor controlling the distribution of residual oil is worked out.
胜坨油田已进入特高含水开发期,开发层系水淹严重,剩余油分布零散。
补充资料:分布预测


分布预测
distribution forecast

的忍虫分害虫内农①地孟,对条件〔,推利用生长不同互(仓间的乞)害虫预测预报内容之一,即根据害虫对环境因国耐力,估计其分布区域或田间分布密度。影响是布的因素主要是气候因素和食物因素。前者影叮在大范围内的地理分布,后者影响害虫在种植眨田田块之间的分布和密度。预测分布的方法有:理分布预测:利用该种害虫生长发育所需有效积温度和湿度适应的最高、最低阑限,以及对食米的要求,比较不同地理区域能满足上述条件的程测其分布的区域和界线;②田间分布密度预测;害虫对寄主植物的选择性,根据田间作物布局矛状况(品种、生育期、肥力水平等),预测害虫桩类型田内的分布密度。或者根据作物田距离虫源库、杂草、受害田或山地)的远近,预测害虫在日分布密度。(张孝分布预测(distribution foreeast)
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