Simultaneously computing the 3D dip attributes for all the time samples of a seismic trace

Abstract The seismic dip attribute is regularly used to aid structural interpretation and is commonly adopted as a compulsory input for computing other seismic geometric attributes. One disadvantage of current dip computation algorithms is that interpreters compute the dip attribute time sample by time sample and do not consider the relationship between dip values of nearby samples. The classic convolution theory suggests one formation boundary should have the corresponding seismic event. However, the seismic wavelet always has a certain time duration. As a result, one formation boundary has a corresponding seismic event that consists of several time samples. Ideally, the time samples, which belong to the same boundary, should have approximately the same dip attributes. In this research, a sample by sample computation procedure is treated as an independent optimisation procedure. Then, simultaneously computing the seismic dip of time samples of one seismic trace can be regarded as a multi-objective optimisation procedure. The proposed method is based on analysing features of seismic waveform within user-defined windows. Considering that nearby time samples should have continuous dip values, we the dynamic time warping to simultaneously compute seismic reflectors’ dip values of a seismic trace. We applied our method to a field seismic data to demonstrate its effectiveness.

Download Full-text

Multi-horizon Simultaneous Tracking Based on Dynamic Seismic Waveform Matching

10.2118/204759-ms ◽

2021 ◽

Author(s):

Maoshan Chen ◽

Zhonghong Wan ◽

Changhong Wang ◽

Jingyan Liu ◽

Zhaoqin Chen

Keyword(s):

Dynamic Time Warping ◽

Seismic Interpretation ◽

High Density ◽

Time Warping ◽

Geological Time ◽

Automatic Tracking ◽

Seismic Surveys ◽

Seismic Waveform ◽

Dynamic Time ◽

Seismic Volumes

Summary Due to the rapid increase in the amount of seismic volumes, the traditional seismic interpretation mode based on manual structure interpretation and single-horizon automatic tracking has encountered many challenges. The seismic interpretation of large or super-large 3-D seismic surveys is facing serious accuracy and efficiency bottlenecks. Aiming to the goal of improving the accuracy and efficiency of seismic interpretation, we propose a dynamic seismic waveform matching technology based on the sparse dynamic time warping algorithm under the guidance of the relative geological time volume theory, and realize multi-horizon simultaneous tracking based on the technology. Has been verified by a model and a real seismic volume, it can realize simultaneous horizon automatic tracking, full spatial tracking and high-density tracking, and can significantly improve the accuracy and efficiency of structure interpretation.

Download Full-text

Seismic well tie by aligning impedance log with inverted impedance from seismic data

Interpretation ◽

10.1190/int-2019-0289.1 ◽

2020 ◽

Vol 8 (4) ◽

pp. T917-T925

Author(s):

Bo Zhang ◽

Yahua Yang ◽

Yong Pan ◽

Hao Wu ◽

Danping Cao

Keyword(s):

Seismic Data ◽

Dynamic Time Warping ◽

Real Data ◽

Seismic Inversion ◽

Synthetic Seismogram ◽

Well Logs ◽

Time Warping ◽

Seismic Wavelet ◽

Dynamic Time ◽

Depth Relationship

The accuracy of seismic inversion is affected by the seismic wavelet and time-depth relationship generated by the process of the seismic well tie. The seismic well tie is implemented by comparing the synthetic seismogram computed from well logs and the poststack seismogram at or nearby the borehole location. However, precise waveform matching between the synthetic seismogram and the seismic trace does not guarantee an accurate tie between the elastic properties contained represented by the seismic data and well logs. We have performed the seismic well tie using the impedance log and the impedance inverted from poststack seismic data. We use an improved dynamic time warping to align the impedance log and impedance inverted from seismic data. Our workflow is similar to the current procedure of the seismic well tie except that the matching is implemented between the impedance log and the inverted impedance. The current seismic well-tie converges if there is no visible changes for the wavelets and time-depth relationship in the previous and current tying loops. Similarly, our seismic well tie converges if there are no visible changes for the wavelets, inverted impedance, and time-depth relationship in the previous and current tying loops. The real data example illustrates that more accurate inverted impedance is obtained by using the new wavelet and time-depth relationship.

Download Full-text

Automatic seismic event tracking using a dynamic time warping algorithm

Journal of Geophysics and Engineering ◽

10.1088/1742-2140/aa7309 ◽

2017 ◽

Vol 14 (5) ◽

pp. 1138-1149 ◽

Cited By ~ 3

Author(s):

Song Jin ◽

ShuangQuan Chen ◽

Jianxin Wei ◽

Xiang-Yang Li

Keyword(s):

Dynamic Time Warping ◽

Seismic Event ◽

Time Warping ◽

Event Tracking ◽

Dynamic Time

Download Full-text

Dynamic warping of seismic images

Geophysics ◽

10.1190/geo2012-0327.1 ◽

2013 ◽

Vol 78 (2) ◽

pp. S105-S115 ◽

Cited By ~ 153

Author(s):

Dave Hale

Keyword(s):

Seismic Data ◽

Dynamic Time Warping ◽

Image Warping ◽

Seismic Data Processing ◽

Time Warping ◽

Relative Time ◽

Dynamic Time ◽

Alignment Errors ◽

Seismic Reflectors ◽

Seismic Images

The problem of estimating relative time (or depth) shifts between two seismic images is ubiquitous in seismic data processing. This problem is especially difficult where shifts are large and vary rapidly with time and space, and where images are contaminated with noise or for other reasons are not shifted versions of one another. A new solution to this problem requires only simple extensions of a classic dynamic time warping algorithm for speech recognition. A key component of that classic algorithm is a nonlinear accumulation of alignment errors. By applying the same nonlinear accumulator repeatedly in all directions along all sampled axes of a multidimensional image, I obtain a new and effective method for dynamic image warping (DIW). In tests where known shifts vary rapidly, this new method is more accurate than methods based on crosscorrelations of windowed images. DIW also aligns seismic reflectors well in examples where shifts are unknown, for images with differences not limited to time shifts.

Download Full-text