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Reservoir prediction of shallow braided delta front by Comprehensive Prediction Error Filtering Analysis

机译:综合预测误差滤波分析浅编织三角洲前井储层预测

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For a more accurate reservoir prediction of braided delta front, the method of High Resolution Sequence Stratigraphy was adopted in Moxizhuang Oil Field with the assistance of Comprehensive Prediction Error Filter Analysis. J_(1s2)was divided into 2 fifth-order base-level cycles, 5 sixth-order base-level cycles, with the turnaround surfaces of base-level rise to fall, and time-equal correlation of shallow braided delta front was achieved. Through study of microfacies correlation in High Resolution Sequence Stratigraphy frame, it is apparent that base-level cycles control microfacies distribution, and furthermore reservoir distribution: reservoirs around turnaround surface of base-level falling to rising are thick and laterally connected, while reservoirs near the middle of base-level falling and base-level rising are relatively thinner and less laterally connected, and reservoirs close to the beginning of base-level falling and the end of base-level rising are undeveloped.
机译:对于更准确的储层预测编织三角洲前沿,宫柱石油场采用了高分辨率序列地层的方法,通过综合预测误差滤波器分析。 J_(1S2)分为2个第五阶基级周期,5个阶阶基位级循环,基本级升降的周转表面下降,达到浅编织三角洲前沿的时间平等相关。 通过研究在高分辨率序列地层框架中的微面积相关性,显然是基础级循环控制微缩循环分布,进一步储存器分布:落后于升起的基础级的周转表面的储层是厚且横向连接的,而附近的水库 基础级落下的中间落下和基础级别的升高是相对较薄的,并且横向连接较少,储存器接近基础级落下的开始和基础级升高的结束是未开发的。

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