Interference of thin-interbedded layers in seismic reflections has great negative impact on reservoirs prediction. To deal with this, two novel methods are proposed that can predict the distribution through strata slices by suppressing interference adjacent layer help sedimentology. The plane single sand bodies be clarified. (1) minimum frequency slicing method, uses amplitude-frequency attribute estimated wavelet transform to find a constant influence stratal slice target layer, and then an...

Seismic data visualization and analysis can help the domain experts, e.g., geologists oil or gas exploration to explore distribution of petroleum gas. It assists them get a better understanding stratigraphic structures geological materials, underground flow path (UFP) contexts UFPs (river delta, floodplain, slump fan, well, etc.). are one significant according because they closely related migration We design quadratic-surface distance query scheme their within local region. First, it just...

In this article, the authors propose a stratigraphic slice interpretative visualization system, namely analyzer. It enables domain experts, i.e., geologists and oil/gas exploration to interactively interpret slices with knowledge, which helps them get better understanding of structures distribution geological materials, e.g., underground flow path (UFP), river delta, floodplain, slump fan, etc. addition some domain-specific edit manipulations, sketch-based sub-region partitioning approach is...

Here, Nickel doped anatase TiO2 samples were prepared and characterized by X-ray diffraction, transmission electron microscope, photoelectron spectroscopy, specific surface area (BET), porosity determination (BJH) CO2-TPD experiments. DFT calculation was conducted to investigate the oxygen vacancy formation energies hydroxyl groups activity. The as-prepared Ni2+ used for heterogeneous degradation of chemical warfare agents (CWAs) a high rate, 92.2% > 99.5% sulfur mustard (HD) within 1 h 12...

Abstract In this paper, we propose a novel approach of deep-learning-based seismic horizon auto-picking that introduces modified vector quantized variational autoencoder (VQ-VAE) framework to improve the accuracy interpretation and, for first time, quantitatively evaluate uncertainty auto-picked by exploiting concept entropy. Compared with conventional VQ-VAE approach, proposed method not only modifies model more deep-learning channels at each layer network enhance performance within...

Seismic facies analysis is a useful and important seismic technique for reservoir characterization. It can be carried out by classifying the waveforms using supervised classification methods. Pre-stack data carries abundant stratigraphic depositional information, but it also has low signal-to-noise ratio (SNR). Conventional methods highly depend on training lead poor result with SNR data. Dictionary learning algorithm avoids any assumption about morphology of alleviates effect noise in In...

Summary Underground flow path (UFP) is one of the most significant stratigraphic structures in revealing distribution oil or gas from seismic data. We design a domain‐specific visualization system to extract by seed point tracing and explore data graph interactions. The seeds are automatically generated kernel function–based density gradients computation. Users allowed adjust recommended fine‐tuning them with visual further merged weighted quick‐union algorithm get link information construct...

Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs. Therefore, we are increasingly inclined to use prestack for seis- mic facies recognition. However, due the inclusion of ex- cessive redundancy, effective feature extraction from becomes critical. In this paper, consider recognition based on as an image clus- tering problem in computer vision (CV) by thinking each gather a picture. We propose convo- lutional autoencoder (CAE) network...

Compaction correction is a key part of paleo-geomorphic recovery methods. Yet, the influence lithology on porosity evolution not usually taken into account. Present methods merely classify lithologies as sandstone and mudstone to undertake separate porosity-depth compaction modeling. However, using just two an oversimplification that cannot represent history. In such schemes, precision inadequate. To improve recovery, depth model has been proposed involves both clay content. A clastic...

Abstract In this paper, we propose a new method of seismic spectral sparse reflectivity inversion that, for the first time, introduces Expectation-Maximization-based Bayesian learning (SBL-EM) to enhance accuracy stratal estimation based on frequency spectrum reflection data. Compared with widely applied sequential algorithm-based (SBL-SA), SBL-EM is more robust data noise and, generally, can not only find solution higher precision, but also yield better lateral continuity along final...

Accurate and efficient seismic horizon interpretation is important for geomorphology study. By integrating the improved density-based clustering method to generate patches a heuristic combining strategy merge patches, we have developed novel data mining approach automatically extract globally optimal horizons detailed geomorphologic interpretation. First, application of has distinct merits in calculation speed avoiding phenomenon mis-ties. We design effectively combine patches. It also able...

In contrast to marine deposits, continental deposits in China are characterized by diverse sedimentary types, rapid changes facies, complex lithology, and thin, small sand bodies. seismic sedimentology studies on lacustrine basins, new thinking more detailed effective technical means needed generate lithological data cubes conduct geomorphologic analyses. Based a series of tests studies, this paper presents the concepts time-equivalent attributes bodies “four-step approach” for...

The establishment of a three-dimensional velocity field is an essential step in seismic exploration, playing crucial role understanding complex underground geological structures. Accurate 3D fields are significant for imaging, observation system design, precise positioning targets, structural interpretation, and reservoir prediction. Therefore, obtaining accurate focus challenge this study. To achieve intelligent interpolation the more accurately, we have built network model based on...

Fault surface extraction is a crucial step in fault interpretation, which aids the analysis of subsurface oil and gas migration reservoir distribution. One challenge ability to deal with complex situations. To enhance such ability, we transfer attribute data into multi-relationship graph employ provided clustering method obtain distribution each entire by considering constraints multiple interrelationships between faults. Firstly, develop for transforming data, can identify modify...

Underground flow paths (UFP) often play an important role in the illustration of geological data by geologists, especially illustrating and revealing stratigraphic structures, which can help domain experts their exploration petroleum information. In this paper, we present a new immersive visualization tool to better illustrate data. We use method based on bit-array-based 3-D texture represent Our has three major advantages: it allows for flexible interaction at device, enables obtain desired...

Seismic attributes are critical in understanding geologic factors, such as sand body configuration, lithology, and porosity. However, existing typically reflect the combined response of multiple factors. The interplay between these factors can obscure features target factor, posing a challenge to its direct seismic characterization, particularly when factor is subtle. To address this, we develop an innovative neural network designed disentangle characterize individual within data. Our...

In this paper, a novel method of multichannel spectral sparse reflectivity inversion is proposed to enhance both the accuracy and spatial continuity retrieved significantly. Firstly, we apply Expectation-Maximization-based Bayesian learning (SBL-EM) improve representation. Comparing basis pursuit (BP) sequential-algorithm-based (SBL-SA), SBL-EM framework generally obtains solution with higher accuracy. Moreover, enhanced considerably by exploiting lateral coherence existing among neighboring...

Conventional waveform clustering may be accomplished using single attribute and constant time window. To meet the demand of continental stratigraphic analysis, we present a method for classification multiple attributes variable We first use PCA dimension reduction number then transform these from domain into frequency domain, where seismic signals within zone interest will interpolated to equal trace length. Waveform obtained through FCM. As per model test, this new is superior conventional...

The traditional constant time window-based waveform classification method is a robust tool for seismic facies analysis. However, when the interval thickness seismically variable, fixed window not able to contain complete geologic information of interest. Therefore, inapplicable conduct To expand application scope in strata with varying thickness, we have proposed novel scheme unsupervised analysis variable length. input top and bottom horizons can guarantee comprehensive target interval....

Summary The prerequisite for using the seismic slices to carry out sedimentary research is ensure its isochronism. However, because sedimentation rates are different in regions of continental basins, it rather difficult obtain isochronous slices, especially from gravity flow and deltaic environments. Therefore, only combine true 3-D interpretation data with geologic theory conduct integrated study, can depositional features be recognized thoroughly. As a result, this paper presents concept...

The seismic geomorphology method to analysis the sedimentary facies on basis of slices has been introduced. core technologies include: (1) extracting peak amplitude information form 3-D data obtain different scales within effective bandwidth data; (2) intelligent interpretation plane that is able improve precision and effectiveness interpretation. With aid these technologies, not only would transit from traditional based profile information, but also it could be promoted manual automatic...