首页|基于波形指示反演的储层预测方法及应用

基于波形指示反演的储层预测方法及应用

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由于储层发育的非均质性,单纯根据测井资料刻画出的河道砂体与实际井间砂体的形态符合率较低,砂体连续性及规模都存在不确定性.为了提高储层的预测精度,以大庆长垣南部高台子油田葡一油层组为例,采用基于波形指示反演切片与测井资料结合的方法,优选出了适合研究区的波形指示反演参数,对研究区各小层进行了井震结合沉积微相预测.结果表明,波形指示反演结果具有更好的纵向分辨能力,通过使用优选出的反演参数得到的高精度反演结果,能较好地反映出研究区的储层发育特征.选取与目的层相关性高的波形指示反演方法电阻率反演体,用其反演切片可以预测水下分流河道砂体的连续性和几何形态,具有更高的井间砂体预测精度,能为提高研究区井间储层预测精度提供技术支撑.
Reservoir prediction method and application based on waveform indication inversion
Due to the heterogeneity of reservoir development,the coincidence rate between the channel sand body depicted by logging data and the actual inter well sand body is low,and the continuity and scale of sand body are uncertain.In order to improve the predic-tion accuracy of the reservoir,taking the Puyi oil layer formation of Gaotaizi Oilfield in the southern part of Daqing Changyuan as an ex-ample,the method based on the combination of waveform indication inversion slice and logging data was used to optimize the waveform indication inversion parameters suitable for the study area,and the well-seismic combination sedimentary microfacies prediction was car-ried out for each small layer in the study area.The results show that the waveform indication inversion results have better vertical resolu-tion ability,and the high-precision inversion results obtained by using the optimized inversion parameters can well reflect the reservoir development characteristics of the study area.The resistivity inversion volume of waveform indication inversion method with high correla-tion with the target layer is selected,and its inversion slice can be used to predict the continuity and geometric shape of underwater dis-tributary channel sand body,which has higher prediction accuracy of crosswell sand body,and can provide technical support for impro-ving the prediction accuracy of crosswell reservoir in the study area.

waveform indication inversionunderwater distributary channelsand body depictionwell-seismic combination

么以钰、李婷婷

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东北石油大学地球科学学院,黑龙江大庆 163318

波形指示反演 水下分流河道 砂体刻画 井震结合

黑龙江省自然科学基金项目

LH2020D008

2024

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子:0.221
ISSN:1003-0506
年,卷(期):2024.46(8)