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seismic data processing and Interpretation on the Loess Plateau, Part1: seismic data processing

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Applied Geophysics 2005年第4期2卷 241-246页

作者：蒋茄钰付守献李九灵东方地球物理公司研究院长庆分院西安长庆兴隆园区710021

Branching river channels and the coexistence of valleys, ridges, hiils, and slopes＇as the result of long-term weathering and erosion form the unique loess topography. The Changqing Geophysical Company, working in these complex conditions, has established a suite of technologies for high-fidelity processing and fine interpretation of seismic data. This article introduces the processes involved in the data processing and interpretation and illustrates the results.

关键词： loess plateau seismic data processing statics bin optimization noise attenuation data interpretation

THE RESEARCHES ON processing TECHNIQUES OF OFFS HO RE M ULTICOMPO NENT seismic data

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THE RESEARCHES ON PROCESSING TECHNIQUES OF OFFS HO RE M ULTI...

SeisResoDiff: seismic resolution enhancement based on a diffusion model

中国科学院地质与地球物理研究所2003学术年会

作者： Fu Dandan~1 He Hanyi~2 Zhu Hongzhang~1 Shen Lili~1 Li Wenyi~1 Chen Baoshu~1 Han Qingshi~1 Zhu Shufen~1 (1.Exploration Institute of CNOOC Research Center,Hebei 2.Research Center of CNOOC,Beijing)

For the offshore petroleum exploration in China,it has long existed that the fuzzy zones and lithological false bright spots can’t be eliminated by the P-wave seismic *** recent years,three massive multi-component seismic explorations of 2D and 3D have been conducted by CNOOC in offshore China,and a set of commercial processing system for offshore multicomponent seismic data(OMS) was *** two sets of 2D multicomponent seismic data acquired in South China Sea have been successfully processed with this system, indicating its mature processing techniques and good converted wave ***,a part of 3D converted -wave processing module has been added into the system by ourself developing,and a trial processing was made for a part of 3D offshore multicomponent seismic data acquired in Bohai *** present,there are still more difficulties and problems in processing 3D multicomponent seismic data,and the 3D converted-wave processing methods also need to be further *** these reasons,the next research direction of multicomponent seismic data processing techniques are proposed.

关键词： offshore multicomponent seismic 2D seismic exploration 3D seismic exploration seismic data processing P-wave converted wave processing technique

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Petroleum Science 2024年第5期21卷 3166-3188页

作者： Hao-Ran Zhang Yang Liu Yu-Hang Sun Gui Chen State Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing) CNPC Key Laboratory of Geophysical Prospecting China University of Petroleum(Beijing) School of Petroleum China University of Petroleum(Beijing)at Karamay Northeast Petroleum University

High resolution of post-stack seismic data assists in better interpretation of subsurface structures as well as high accuracy of impedance inversion. Therefore, geophysicists consistently strive to acquire higher resolution seismic images in petroleum exploration. Although there have been successful applications of conventional signal processing and machine learning for post-stack seismic resolution enhancement,there is limited reference to the seismic applications of the recent emergence and rapid development of generative artificial intelligence. Hence, we propose to apply diffusion models, among the most popular generative models, to enhance seismic resolution. Specifically, we apply the classic diffusion model—denoising diffusion probabilistic model(DDPM), conditioned on the seismic data in low resolution, to reconstruct corresponding high-resolution images. Herein the entire scheme is referred to as SeisResoDiff. To provide a comprehensive and clear understanding of SeisResoDiff, we introduce the basic theories of diffusion models and detail the optimization objective's derivation with the aid of diagrams and algorithms. For implementation, we first propose a practical workflow to acquire abundant training data based on the generated pseudo-wells. Subsequently, we apply the trained model to both synthetic and field datasets, evaluating the results in three aspects: the appearance of seismic sections and slices in the time domain, frequency spectra, and comparisons with the synthetic data using real well-logging data at the well locations. The results demonstrate not only effective seismic resolution enhancement,but also additional denoising by the diffusion model. Experimental comparisons indicate that training the model on noisy data, which are more realistic, outperforms training on clean data. The proposed scheme demonstrates superiority over some conventional methods in high-resolution reconstruction and denoising ability, yielding more competitive results

关键词： seismic resolution enhancement Diffusion model High resolution Reservoir characterization Deep learning seismic data processing

Attenuation of seismic migration smile artifacts with deep learning

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Artificial Intelligence in Geosciences 2022年第1期3卷 123-131页

作者： Jewoo Yoo Paul Zwartjes Aramco Overseas Company B.V the Netherlands

Attenuation of migration artifacts on Kirchhoff migrated seismic data can be challenging due to the relatively low amplitude of migration artifacts compared to reflections as well as the overlap in the kinematics of reflection and migration ***‘conventional’filtering methods exist and recently deep learning based workflows have been proposed.A deep learning workflow can be a simple and fast alternative to existing *** case of supervised training of a deep neural network using training data made by physics-based modelling or actual migrations is expensive and lacks diversity in terms of noise,amplitude,frequency content and *** can result in poor generalization beyond the training data without re-training and transfer *** this paper we demonstrate successful applications of migration smile separation using a conventional U-net *** novelty in our approach is that we do not use synthetic data created from physics-based modelling,but instead use only synthetic data build form basic geometric *** domain of application is the migrated common offset domain,or simply the stack of the pre-stack migrated data,where reflections resemble local geology and migration smiles are upward convex hyperbolic *** patterns were randomly perturbed in many ways while maintaining their intrinsic *** approach is inspired by the common practice of data augmentation in deep learning for machine vision *** many of the standard data augmentation techniques lack a geophysical motivation,we have instead perturbed our synthetic training data in ways to make more sense for a signal processing perspective or given our‘domain knowledge’of the problem at *** did not have to retrain the network to produce good results on the field *** large variety and diversity in examples enabled the trained neural network to show encouraging results on synthetic and field datasets that were not used in training.

关键词： seismic data processing Noise attenuation Migration Deep learning U-net

Application of multi-scaled morphology in denoising seismic data

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Applied Geophysics 2008年第3期5卷 197-203页

作者：王润秋李青张明北京中国石油大学油气资源与探测国家重点实验室 102249

In this paper, multi-scaled morphology is introduced into the digital processing domain for land seismic data. First, we describe the basic theory of multi-scaled morphology image decomposition of exploration seismic waves; second, we illustrate how to use multi-scaled morphology for seismic data processing using two real examples. The first example demonstrates suppressing the surface waves in pre-stack seismic records using multi-scaled morphology decomposition and reconstitution and the other example demonstrates filtering different interference waves on the seismic record. Multi-scaled morphology filtering separates signal from noise by the detailed differences of the wave shapes. The successful applications suggest that multi-scaled morphology has a promising application in seismic data processing.

关键词： Multi-scaled morphology structure element seismic data processing seismic data denoising.

Application of Fractional Fourier Transform in seismic data denoising

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Global Geology 2014年第2期17卷 110-114页

作者： ZHANG Zongbao LIU Cai College of Geo-Exploration Science and Technology Jilin University

data processing is a basic and crucial factor in seismic exploration,which can influence the effect of subsequent processing directly. Thus the selection of appropriate method for data processing is one of the most important tasks throughout the work. By simulating,the authors analyze and compare Fractional Fourier Transform( FRFT) and Wigner-Ville distribution( WVD),then summarize the similarities and advantages and disadvantages of the two methods. The results reveal that FRFT is more effective and suitable for application in seismic exploration than WVD.

关键词： seismic data processing Fractional Fourier Transform Wigner-Ville distribution

seismic Attributes Extraction Based on GPU

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Seismic Attributes Extraction Based on GPU

Prediction of Subtle Thin Gas Reservoir in the Loess Desert Area in the North of Ordos Basin

2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010)

作者： Zhang Guang-Zhi Chen Lei Ye Duan-Nan College of Geo-resource and Information China University of Petroleum (East China)

In oil and gas exploration, the seismic data can provide the information of the earth’s subsurface structure and detect where oil can be found and recovered. To get a geological model of the earth, the complex iterative processing is being done. So, the need for computing power increases with the oil and gas exploration and development. And the new high-performance computing (HPC) technologies are used in seismic processing. We use NVIDIA’s CUDA programming language to accelerate seismic attributes extraction technology. By comparing the same work in the CPU and GPU, GPU is about 6 times faster, it shows that GPU can effectively shorten the processing time.

关键词： parallel-speedup GPU CUDA seismic data processing seismic attributes

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Applied Geophysics 2004年第2期1卷 122-128页

作者： YangHua FuJinhua WangDaxing ChangqingOilCompany PetroChinaXi＇an710021China

For thin gas reservoir of low-porosity and low-permeability in the loess desert area, a suite of lateral reservoir prediction techniques has been developed by Changqing Oil Company and the excellent effects achieved in exploration and exploitation in the areas such as Yulin, Wushenqi,Suligemiao, Shenmu etc., so that the Upper Paleozoic gas reserve has been stably increasing for eight years in Changqing Oilfield. The paper analyzed the effects and experience of the application of these techniques in detail.

关键词： desert nutralgas reservoir prediction seismic data processing AVO inversion multi-wave