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1)  layer parameters
层参数
2)  reservoir parameter
储层参数
1.
Predicting reservoir parameter based on simulation annealing algorithms;
基于模拟退火算法预测储层参数
2.
Transversal prediction for reservoir parameters of fractured reservoirs in buried hills;
古潜山裂缝性油藏储层参数横向预测
3.
Discussion on coal reservoir parameter prediction using seismic technology;
用地震资料预测煤层气储层参数的方法初探
3)  reservoir parameters
储层参数
1.
Application of neural network to description of reservoir parameters;
神经网络在储层参数描述中的应用
2.
Feasibility and Adaptability of a New Algorithm of Neural Network to the Calculation of Reservoir Parameters;
用神经网络新算法计算储层参数的可行性和适应性
3.
The lithology of deep wells in eastern Daqing oil field and complex,so calculating reservoir parameters and recognizing fluid are very difficult.
大庆油田东部深层某井区火山岩气藏岩性复杂、储层参数计算以及流体性质识别困难。
4)  formation parameter
地层参数
1.
Taking intermittent test production well as studied objective, by arranging former test production data and using initial producing data acquired at intermittent process, formation parameters at two stages of testing and intermittent test production periods for natural potential and reformed wells are compared and analyzed and forecasting method is studied.
以间歇试采井为研究对象,对以往试采井资料进行整理,利用间歇生产过程中录取到的原始生产资料,对自然产能和压裂改造的生产井在试油、间歇试采两阶段得到的地层参数进行对比和分析,研究出间歇方式的采油井、试采井的产能预测方法。
2.
In addition, the important forms used to calculate the formation parameters, such as shale volume, water saturation and permeability, are improved to be more suitable for the calculation of inhomogeneous formation parameters according to the power law of fract.
同时,利用分形理论的幂定律,对泥质含量、 含水饱和度和渗透率等参数的计算公式作了改进,可以更好地适应非均质地层参数的计算。
3.
The problem in testing analysis, such as longer closed-in time, multi-answers of interpretation and low-permeable formation parameters which can not be obtained by conventional well testing ways, have been solved through the applica.
为了能够充分利用试井早期资料解释地层参数 ,消除续流对压力的影响 ,缩短关井时间 ,文章介绍了可以同时测量压力和续流量的续流测井仪。
5)  reservoir parameters
油层参数
1.
Influence analysis and application of reservoir parameters from fracturing well on incremental result;
压裂井油层参数对增产效果的影响分析及应用
6)  formation parameters
地层参数
1.
Results show that both Fetkovich and Blasingame decline curves are more available for predicting formation parameters for the low-permeability gas wells or some gas wells which can\'t be shut-in for a long time.
通过对G8井、G10井的生产数据进行递减分析,获得了两口气井的递减参数,应用效果表明,对于低渗气井或不便长时间关井的气井来说,应用Fetkovich递减曲线法和Blasingame递减曲线法进行地层参数预测更为可行。
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