Study and application of PS-wave pre-stack migration in HTI media and an anisotropic correction method
Study and application of PS-wave pre-stack migration in HTI media and an anisotropic correction method
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DOI：
10.1007/s11770-018-0660-2
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发表时间：
2018-05
影响因子：
0.7
通讯作者：
Lili Yan;B. Cheng;Tianji Xu;Yingtian Jiang;Zhaojun Ma;Jianming Tang
中科院分区：
文献类型：
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作者：
Lili Yan;B. Cheng;Tianji Xu;Yingtian Jiang;Zhaojun Ma;Jianming Tang
在转换波地震资料处理过程中，为了实现准确的构造成像、储层预测和裂缝检测，必须进行各向异性校正。为了有效消除横波分裂的不利影响，提高PS波成像质量，对PS波资料的叠前偏移成像和各向异性校正方法进行了试验。我们基于地震波在水平横观各向同性介质中的传播规律，这是一种裂缝介质模型，反映了现场可能的地下条件。利用PS波数据的径向（R）和横向（T）分量分离出快、慢横波分量，有效地提取了它们的传播时差。同时，利用数学旋转对R分量和T分量的能量和传播时差进行了校正。PS波成像质量明显提高，我们证明了我们的方法的可靠性，通过数值模拟。应用该方法对川西坳陷新场-合兴场地区的三维三分量地震资料进行处理，获得了反射波组连续、构造特征明显、地层接触关系明确的高质量地震成像。该研究为提高复杂隐蔽岩性气藏的勘探效果提供了一种有效、可靠的数据处理方法。
Anisotropy correction is necessary during the processing of converted PSwave seismic data to achieve accurate structural imaging, reservoir prediction, and fracture detection. To effectively eliminate the adverse effects of S-wave splitting and to improve PSwave imaging quality, we tested methods for pre-stack migration imaging and anisotropic correction of PS-wave data. We based this on the propagation rules of seismic waves in a horizontal transverse isotropy medium, which is a fractured medium model that reflects likely subsurface conditions in the field. We used the radial (R) and transverse (T) components of PS-wave data to separate the fast and slow S-wave components, after which their propagation moveout was effectively extracted. Meanwhile, corrections for the energies and propagation moveouts of the R and T components were implemented using mathematical rotation. The PS-wave imaging quality was distinctly improved, and we demonstrated the reliability of our methods through numerical simulations. Applying our methods to three-dimensional and three-component seismic field data from the Xinchang-Hexingchang region of the Western Sichuan Depression in China, we obtained high-quality seismic imaging with continuous reflection wave groups, distinct structural features, and specific stratigraphic contact relationships. This study provides an effective and reliable approach for data processing that will improve the exploration of complex, hidden lithologic gas reservoirs.