论文详情
四川盆地Y1井区经历多期构造演化,发育的断裂具有多期次、多尺度、多类型、多走向等特征,在已钻井中发生了严重的井漏。利用常规的地震解释方法,较难达到精细刻画断裂的要求,也难以捋清断裂期次和展布。针对研究区实际情况,提出了用于研究区裂缝预测的优化的蚂蚁追踪技术:首先,对预处理后的叠前道集数据进行部分角度道集叠加,计算得到不同的蚂蚁追踪数据体;然后,对比各蚂蚁追踪结果的沿层切片、剖面和井震对比,优选出最终的部分角道集叠加数据作为蚂蚁追踪的输入数据;最后,综合统计出研究区的断裂产状特征,设置合理的产状参数,进行产状控制下的蚂蚁追踪计算,得到高精度的裂缝数据体。与全叠加的蚂蚁追踪结果和方差数据体相比,该数据体刻画的裂缝更为清晰,在平面及剖面解释上能够体现更多的断裂细节,且与泥浆漏失点吻合。该方法不但提高了裂缝检测精度,也为下一步的构造期次分析提供了可靠的数据基础,并且为未来的水平井部署指明了方向。
The Y1 area in Sichuan basin has undergone multiple stages of tectonic evolution.Faults are characterized by multiple stages,scales,types,and strikes,and serious mud losses have occurred in the drilled wells.Therefore,the conventional seismic interpretation method cannot be used to finely characterize any fractures and analyze structural development.Therefore,an optimized ant tracking workflow was proposed for fracture prediction,which involved the use of pre-stack seismic data volume.First,pre-processed pre-stack gathers were partially stacked to obtain different ant tracking volumes.Then,the partial dip stacked gather was optimized as the input data of ant tracking by comparing the ant tracking results in terms of slice,profile,and well-seismic correlation.Finally,reasonable occurrence parameters were set to calculate the ant tracking results based on analyzed occurrence characteristics.Compared with the results based on full stack data,the fractures depicted using the proposed method were clearer with more details in the plane and interpretation section,which are consistent with the actual points of mud loss.This method can also provide a data basis for the structural development analysis and support the deployment of horizontal wells.
国家科技重大专项“昭通页岩气勘探开发示范工程”(2017ZX05063)、中国石油天然气集团有限公司重大现场试验项目“深层页岩气有效开采关键技术攻关与试验”(2019F-31)共同资助。