A key seismic processing technique for deep geothermal exploration in igneous province in southern China
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摘要: 华南火成岩发育区是我国重要的地热资源区, 具备中高温地热的储藏条件, 地热资源丰富, 但深层地热资源勘探难度大, 基于重、磁、电的勘探方法对地层结构、热储边界及隐伏断裂的热储空间展布特征刻画不足。因此, 本文利用三维地震勘探资料, 开展面向深层地热勘探的地震关键处理技术研究, 形成具有识别深层地热构造的处理技术流程。首先, 通过面向深层热储的精细预处理技术解决深层低信噪比问题, 做好数据基础工作; 在此基础上, 采用断控精细速度建模技术建立高精度速度模型; 最后结合保低频逆时偏移技术实现深层热储高精度成像, 改善成像质量, 提高热储空间、高陡边界的刻画精度。实际资料测试验证了该技术流程的有效性与实用性。Abstract: Southern China's igneous province, as a significant geothermal resource area in China, possesses abundant geothermal resources owing to its favorable accumulation conditions for medium-to-high temperature geothermal resources.However, gravity-magnetic-magnetotelluric exploration methods fail to sufficiently characterize the formation structures, geothermal reservoir boundaries, and the spatial distribution of geothermal reservoirs within the concealed fault zones, posing challenges in exploring deep geothermal resources.Hence, this study delved into the key seismic processing techniques for deep geothermal exploration based on 3D seismic exploration data, establishing a targeted processing flow.First, the problem of low signal-to-noise ratios in deep layers was solved through fine-scale preprocessing for deep geothermal reservoirs, laying a solid data foundation.Then, a high-precision velocity model was built via fault-guided tomography velocity modeling.Finally, the high-precision imaging of deep geothermal reservoirs was achieved using the amplitude-preserving low-frequency reverse-time migration technology, thus improving the imaging quality and the characterization accuracy of geothermal reservoir spaces and high-steep boundaries.Field data-based testing verified the validity and practicability of the processing flow.
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