Pattern‐guided dip estimation with plane‐wave destruction filters

Xue, Zheng; Zhang, Houzhu; Zhao, Yang; Fomel, Sergey

doi:10.1111/1365-2478.12798

Cited by 6 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3). The PWD method is splitting the data into spatially and temporal windows and assumes that the slopes are stationary within each window (Fomel, 2002;Xue et al, 2019). In contrast, the NRM method is iteratively minimizing the amplitude difference (Eqs.…”

Section: Rmo Automatic Picking By Tracking Through Nrm Displacement F...mentioning

confidence: 99%

Reflection tomography by depth warping: a case study across the Java trench

et al. 2022

View full text Add to dashboard Cite

Abstract. Accurate subsurface velocity models are crucial for geological interpretations based on seismic depth images. Seismic reflection tomography is an effective iterative method to update and refine a preliminary velocity model for depth imaging. Based on residual move-out analysis of reflectors in common image point gathers, an update of the velocity is estimated by a ray-based tomography. To stabilize the tomography, several preconditioning strategies exist. Most critical is the estimation of the depth error to account for the residual move-out of the reflector in the common image point gathers. Because the depth errors for many closely spaced image gathers must be picked, manual picking is extremely time-consuming, human biased, and not reproducible. Data-driven picking algorithms based on coherence or semblance analysis are widely used for hyperbolic or linear events. However, for complex-shaped depth events, purely data-driven picking is difficult. To overcome this, the warping method named non-rigid matching is used to estimate a depth error displacement field. Warping is used, for example, to merge photographic images or to match two seismic images from time-lapse data. By matching a common image point gather against its duplicate that has been shifted by one offset position, a locally smooth-shaped displacement field is calculated for each data sample by gather matching. Depending on the complexity of the subsurface, sample tracking through the displacement field along predefined horizons or on a simple regular grid yields discrete depth error values for the tomography. The application to a multi-channel seismic line across the Sunda subduction zone offshore Lombok island, Indonesia, illustrates the approach and documents the advantages of the method to estimate a detailed velocity structure in a complex tectonic regime. By incorporating the warping scheme into the reflection tomography, we demonstrate an increase in the velocity resolution and precision by improving the data-driven accuracy of depth error picks with arbitrary shapes. This approach offers the possibility to use the full capacities of tomography and further leads to more accurate interpretations of complex geological structures.

show abstract

Section: Rmo Automatic Picking By Tracking Through Nrm Displacement F...mentioning

confidence: 99%

Reflection tomography by depth warping: a case study across the Java trench

et al. 2022

View full text Add to dashboard Cite

show abstract

“…PWD predicts the next trace by phaseshifting from the previous trace along with the dominant event dip while maintaining the amplitude. The estimated dominant dip is then determined by minimizing the prediction error (Fomel 2010;Xue et al 2019). Shaping regularization limits the assessed dips to change smoothly in neighboring traces for the interpolated records.…”

Section: Dip Estimation and Dip-guided Interpolationmentioning

confidence: 99%

Local events-based fast RTM surface-offset gathers via dip-guided interpolation

Zhao

Niu

et al. 2021

Pet. Sci.

Self Cite

View full text Add to dashboard Cite

Reverse Time Migration (RTM) Surface Offset Gathers (SOGs) are demonstrated to deliver more superior residual dip information than ray-based approaches. It appears more powerful in complex geological settings, such as salt areas. Still, the computational cost of constructing RTM SOGs is a big challenge in applying it to 3D field data. To tackle this challenge, we propose a novel method using dips of local events as a guide for RTM gather interpolation. The residual-dip information of the SOGs is created by connecting local events from depth-domain to time-domain via ray tracing. The proposed method is validated by a synthetic experiment and a field example. It mitigates the computational cost by an order of magnitude while producing comparable results as fully computed RTM SOGs.

show abstract

“…Recall the specific geology settings of this field data discussed in the introduction section: below the complex overburden are simple layer‐cake structures with dip angles less than 4°. A V H ( A | B ; ω ) containing flat reflectors with a mild lateral variation is well suited to the dip‐guided interpolation method based on plane‐wave prediction filters (Fomel, 2010; Xue et al, 2019).…”

Section: Dip‐guided Interpolation At the Redatuming Depthmentioning

confidence: 99%

Source‐Receiver Interferometric Redatuming Using Sparse Buried Receivers to Address Complex Near‐Surface Environments: A Case Study of Seismic Imaging Quality and Time‐Lapse Repeatability

et al. 2020

Self Cite

View full text Add to dashboard Cite

Deploying sparse sources and receivers in a complex near-surface environment for seismic imaging and monitoring remains a challenge. Complicated near-surface structures with strong lateral velocity variations and thick weathering layers distort seismic wave paths and produce strong reverberations and scattering. Consequently, acquisition with a buried receiver system below the weathering layer is preferred for land surveys, but the cost of this approach is excessively high in real applications. To mitigate this problem, we propose a source-receiver interferometry-based redatuming method that can generate redatumed data beneath the near surface with a reduced cost. The new acquisition geometry consists of dense surface and sparse buried receivers. The workflow based on source-receiver redatuming combines surface and buried systems by cross correlating direct waves recorded by buried receivers with the corresponding reflected waves recorded by surface receivers. The approach transforms surface source-receiver records into virtually buried source-receiver records. We effectively suppress the acquisition noises associated with the near-surface structures because the proposed technique generates redatumed data below the weathering layer. We apply dip-guided interpolation to the redatumed data to make the geometry consistent with the original surface geometry. The resulting records not only improve the seismic image quality and repeatability compared with the original records but also have a lower cost than a denseburied acquisition system. We use 13 seismic surveys carried out at different times to demonstrate the feasibility and advantage of the proposed method.

show abstract

Pattern‐guided dip estimation with plane‐wave destruction filters

Cited by 6 publications

References 29 publications

Reflection tomography by depth warping: a case study across the Java trench

Reflection tomography by depth warping: a case study across the Java trench

Local events-based fast RTM surface-offset gathers via dip-guided interpolation

Source‐Receiver Interferometric Redatuming Using Sparse Buried Receivers to Address Complex Near‐Surface Environments: A Case Study of Seismic Imaging Quality and Time‐Lapse Repeatability

Contact Info

Product

Resources

About