Estimation of Thomsen VTI parameters for seismic imaging using vertical and deviated wells

H. Miyamoto, G. Cambois
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引用次数: 3

Abstract

Summary Seismic data processing by pre-stack depth migration (PrSDM) requires a reliable initial velocity model. An accurate velocity model secures pre-stack gather flatness by short offset spread; however, a vertical transverse isotropy (VTI) model, for characterizing horizontal layering, should be sufficiently considered to extend offset usage and maximize image quality. This study sought a robust workflow of Thomsen VTI parameters, e and δ, estimation to stabilize anisotropic tomography analysis. Vertical and deviated wells offered the opportunity to derive the target parameters in a rather simple and elegant way. Anisotropic Backus averaging combined intrinsic and apparent anisotropy at seismic scale. In our case study, the calculated anisotropic parameters profiles were validated by WAVSPs and by the surface seismic data, which could be flattened effectively all the way to the largest offsets. In particular, steps like refraction FWI need an accurate anisotropic starting model to converge effectively. Cross-spread 3D seismic surveys are particularly ill suited for deriving shallow anisotropic velocity models and the vertical and deviated wells method provides a welcome alternative.
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直井和斜井地震成像Thomsen VTI参数估计
叠前深度偏移(PrSDM)地震数据处理需要可靠的初速度模型。精确的速度模型通过短偏移扩展确保叠前集波平坦度;然而,一个垂直横向各向同性(VTI)模型,表征水平分层,应充分考虑扩展偏移使用和最大化图像质量。本研究寻求一种稳健的Thomsen VTI参数(e和δ)估计工作流,以稳定各向异性层析分析。直井和斜井提供了以相当简单和优雅的方式获得目标参数的机会。地震尺度内禀各向异性和视各向异性的各向异性Backus平均。在我们的案例研究中,计算出的各向异性参数剖面通过wavsp和地面地震数据进行了验证,这些数据可以有效地平坦化到最大偏移量。特别是,像折射FWI这样的步骤需要一个精确的各向异性启动模型来有效收敛。横向扩展三维地震测量特别不适合获得浅层各向异性速度模型,而直井和斜井方法提供了一种受欢迎的替代方法。
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