地震反演储层预测技术在白马庙地区的应用
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摘要
川西白马庙地区上侏罗统蓬莱镇组气藏砂体分布非均匀性强,对砂体的定性描述已经不能满足气田深入开发的要求。地震反演方法近几年广泛应用于储层预测解释,为此选取该区联井地震剖面,开展多种反演方法效果试验,结合已钻井实际资料分析,最后确定选用伽马反演预测蓬莱镇组内部砂体纵向及横向分布,并进一步反演孔隙度,实现了对砂体的定量描述。实践表明,高斯配置协模拟法对于该区块砂岩储层预测效果最佳。
The gas reservoirs of the Upper Jurasssic Penglaizhen group in Baimamiao area,western Sichuan Basin,is characterized by strong heterogeneity of sandbody distribution,so the qualitative description of sandbody cannot meet the demand for thorough development of this gas field.Since the seismic inversion technology has been widely used in the interpretation of reservoir prediction in recent years,the experiments of many inversion methods were carried out in seismic profiles of joint wells selected from this region.In the end,the Gamma inversion was determined to predict longitudinal and lateral distribution of sandbody in the Penglaizhen group in combination with the actual data of drilled wells and furthermore to inverse porosity,thus realizing the qualitative description of sandstone.The practice shows that the Sequential Gaussian Collocated Co-simulation has the best effect on the prediction of sandstone reservoirs in this area.
The gas reservoirs of the Upper Jurasssic Penglaizhen group in Baimamiao area,western Sichuan Basin,is characterized by strong heterogeneity of sandbody distribution,so the qualitative description of sandbody cannot meet the demand for thorough development of this gas field.Since the seismic inversion technology has been widely used in the interpretation of reservoir prediction in recent years,the experiments of many inversion methods were carried out in seismic profiles of joint wells selected from this region.In the end,the Gamma inversion was determined to predict longitudinal and lateral distribution of sandbody in the Penglaizhen group in combination with the actual data of drilled wells and furthermore to inverse porosity,thus realizing the qualitative description of sandstone.The practice shows that the Sequential Gaussian Collocated Co-simulation has the best effect on the prediction of sandstone reservoirs in this area.
引文
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