吐哈盆地北部山前带巴喀三维叠前地震成像处理解释技术研究及应用

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吐哈盆地北部山前带巴喀地区地表条件复杂多样,地下构造复杂,导致该区原始地震资料品质较差,尤其是构造主体部位地层高陡,断裂非常发育,地震偏移成像难度极大,从而使得该区地下构造难以准确落实;同时巴喀地区储层为低孔低渗储层,地球物理响应特征不明显,缺乏有效的储层预测识别方法,以上因素制约了巴喀地区油气勘探的进程。通过研究,形成了针对巴喀地区的地震成像、构造解释及储层预测技术系列,其中的关键创新技术主要包括:起伏地表模型约束综合静校正技术、复杂地区“六分法”叠前噪声压制技术、浮动面逆时叠前深度偏移技术等。攻关与生产紧密结合,新研究成果能够更加准确地刻画巴喀地区的断裂位置及地下构造形态,整体成像效果得到改善,利用新研究成果重新梳理了构造样式,进一步认识了该区断裂特征及地层展布规律,新发现和落实了一批圈闭,在此基础上综合储层预测成果,优选了多个有利钻探目标。 The surface conditions in the Baka region in the northern foreland belt of the Turpan-Hami Basin are complex and diverse with complex underground structures, resulting in poor quality of the original seismic data in the area. In particular, the strata in the main body of the Turpan-Hami Basin are steep, fault developed, and the seismic migration imaging is extremely difficult. So that the underground structure in this area is difficult to be accurately implemented. At the same time, the reservoir in Baka area is low porosity and low permeability reservoirs, and the geophysical response characteristics are not obvious. Therefore, there is no effective method for reservoir prediction and identification, which has restricted the hydrocarbon exploration in Baka area process. Through research, we have formed a series of seismic imaging, tectonic interpretation and reservoir prediction technologies for the Bachu region. The key innovation technologies include: the comprehensive static correction technology of undulating surface model constraints, the complex region Noise suppression technology, floating surface inverse prestack depth migration technology. Research and production are closely integrated. The new research results can more accurately depict the fracture location and subsurface structure in Baka area. The overall imaging effect is improved. The structural styles are re-combed with the new research results, and the fracture characteristics and strata A series of traps were newly discovered and implemented. On the basis of this, based on the reservoir prediction results, a number of favorable drilling targets were selected.
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