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Predicting the thickness of sand strata in a sand-shale interbed reservoir based on seismic facies analysis
Journal of Geophysics and Engineering ( IF 1.6 ) Pub Date : 2020-05-04 , DOI: 10.1093/jge/gxaa015
Huilin Li 1 , Rui Gao 1, 2 , Yanghua Wang 3
Affiliation  

Seismic facies analysis is of great significance for the detection of residual oil in a sand-shale interbed reservoir. In this study, we propose to predict spatial distribution of sand thickness over a reservoir, based on seismic facies analysis. The target reservoir is a thin sand-shale interbed layer, and the layer thickness varies between 2 and 10 m. The thickness of sand strata within the reservoir layer appears to have a fragmentary distribution in lateral space. Thin thickness and fragmentary distribution are two factors that cause difficulty in sand thickness prediction. To tackle this problem, this study adopted a three-stage strategy. First, the reservoir over the entire study area was classified into five different lithofacies, following sedimentary microfacies analysis against the characteristics of gamma-ray logging data, and the corresponding seismic responses were meticulously depicted. Then, exploiting these seismic responses, or seismic facies, the spatial distribution of the gamma-ray values was evaluated within the thin sand-shale interbed reservoir. Finally, the spatial distribution of the sand thickness was predicted according to the spatial distribution of the gamma-ray values. The prediction was conducted independently for each seismic facies, rather than in a non-discriminatory manner. Comparing the prediction to the actual evaluation derived from well-logging data demonstrated that the thickness distribution resulting from seismic data has a high accuracy, because of the facies-based analysis.

中文翻译:

基于地震相分析的砂页岩夹层储层砂层厚度预测

地震相分析对砂页岩夹层油藏残油的探测具有重要意义。在这项研究中,我们建议根据地震相分析预测储层砂厚度的空间分布。目标储层为薄页岩夹层夹层,层厚在2至10 m之间变化。储层中砂层的厚度似乎在侧向空间中具有碎片分布。薄的厚度和碎片分布是导致砂层厚度预测困难的两个因素。为了解决这个问题,本研究采用了三阶段策略。首先,根据针对伽马射线测井数据特征的沉积微相分析,将整个研究区的储层分为五个不同的岩相。并精心绘制了相应的地震反应。然后,利用这些地震响应或地震相,评估了薄页岩夹层储层内伽马射线值的空间分布。最后,根据伽马射线值的空间分布预测了砂土厚度的空间分布。预测是针对每个地震相独立进行的,而不是以非歧视的方式进行的。将预测结果与测井数据得出的实际评估结果进行比较表明,由于基于相的分析,地震数据产生的厚度分布具有较高的精度。在薄页岩夹层储层内评估了伽马射线值的空间分布。最后,根据伽马射线值的空间分布预测了砂土厚度的空间分布。预测是针对每个地震相独立进行的,而不是以非歧视的方式进行的。将预测结果与测井数据得出的实际评估结果进行比较表明,由于基于相的分析,地震数据产生的厚度分布具有较高的精度。在薄页岩夹层储层内评估了伽马射线值的空间分布。最后,根据伽马射线值的空间分布预测了砂土厚度的空间分布。预测是针对每个地震相独立进行的,而不是以非歧视的方式进行的。将预测结果与测井数据得出的实际评估结果进行比较表明,由于基于相的分析,地震数据产生的厚度分布具有较高的精度。而不是以非歧视的方式。将预测结果与测井数据得出的实际评估结果进行比较表明,由于基于相的分析,地震数据产生的厚度分布具有较高的精度。而不是以非歧视的方式。将预测结果与测井数据得出的实际评估结果进行比较表明,由于基于相的分析,地震数据产生的厚度分布具有较高的精度。
更新日期:2020-05-04
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