Abstract Background Grafting is one of the promising techniques for improving abiotic stress tolerance in horticultural crops, but underlying regulatory mechanisms drought on grafted grapevine are largely unexplored. Results Herein, we investigated phenotypic, physiologic, biochemical, and related genes change self-rooted 1103P (1103 Paulsen), SM (Shine Muscat) SM/1103P (SM shoot/1103P root) under condition. The results indicated that effectively alleviated damage grape leaves by higher RWC,...

The change in coal seam thickness has an important influence on mine safety and efficient mining. It is very to predict accurately. However, the accuracy of borehole interpolation BP neural network not high. Variational mode decomposition (VMD) strong denoising ability, long short-term memory (LSTM) especially suitable for prediction complex sequences. This paper presents a method using VMD LSTM. Firstly, empirical (EMD) methods are used denoise simple signals, effect verified. Then,...

Small faults developed in coal seams are one of the major causes mine accidents. Accurately predicting small fields is an urgent requirement for efficient and safe production mines. This article proposes a new fault identification method that combines empirical mode decomposition seismic texture attribute extraction to address problem large errors caused by noise results prediction. Firstly, basic principles were studied, then recognition ability this was tested analysed based on forward...

The rock physics model of coalbed methane (CBM) reservoir is significant for the study CBM content. However, because adsorption and dissociation reservoir, it difficult to establish models. In addition, studies on modeling are scarce. This paper proposes basic process. First, coal minerals in adsorbed state used calculate elastic parameters matrix. Then, differential equivalent medium get dry skeleton. free mixed with water, finally Gassmann equation applied obtain model. model's response...

Seismic data is easily affected by random noise during field acquisition. Therefore, attenuation plays an important role in seismic processing and interpretation. According to decomposition characteristics of signals using variational mode (VMD) the constraint conditions correlation coefficients, this paper puts forward a method for data, which called coefficients VMDC. Firstly, original were decomposed into intrinsic functions (IMFs) with different VMD. Then, between each IMF signal...

The small fault with a vertical displacement (or drop) of 2–5 m has now become an important factor affecting the production efficiency and safety coal mines. When 3D seismic data contain noise, it is easy to cause large errors in prediction results faults. This paper proposes intelligent identification method combining variable mode decomposition (VMD) support vector machine (SVM). A forward model established analyze response characteristics different attributes under condition random noise....

In order to meet the needs of intelligent development coal mines in China for transparency geological conditions, identifying small faults with a drop about 3 m has become one important tasks structural interpretation. However, accuracy conventional 3D seismic exploration data interpretation methods detecting is still low. On basis introducing basic principles S-transform time-frequency analysis, principal component and RGB fusion, this paper proposes method fields using multi-scale...

Hilbert–Huang transform (HHT) is a popular method to analyze nonlinear and non-stationary data. It has been widely used in geophysical prospecting. This paper analyzes the mode mixing problems of empirical decomposition (EMD) introduces noncontact measurement detection instantaneous seismic attributes using complementary ensemble (CEEMD). Numerical simulation testing indicates that CEEMD can effectively solve EMD provide stronger anti-noise ability. The decomposed results synthetic record...

The selection of seismic attributes is a key process in reservoir prediction because the accuracy relies on reliability and credibility attributes. However, effective method for useful still challenge. This paper presents novel based gray relational degree (GRD) support vector machine (SVM). proposed has two-hierarchical structure. In first hierarchy, primary achieved by calculating GRD between parameters, principle that these with higher to parameters will have smaller themselves as...

In this paper a neural network for solving partial differential equations (PDE) is described. The activation functions of the hidden nodes are radial basis (RBF) whose parameters learnt by two-stage gradient descent strategy. A new growing functions-node insertion strategy with different used in order to improve net performances. learning able save computational time and memory space because selective consist functions. An analysis capabilities comparison performances other approaches have...

The dip steering has been routinely implemented into the multi-trace seismic data retrieval as well associated attribute analysis to avoid interpretational artificial leakages for dipping formations. However, in practice, a section/volume consists of discrete samples, and horizon does not always be exactly on defined samples; instead, part it may fall within two neighboring samples. Traditionally, such misfit is addressed by simply approximating location its nearest sample, which...

Seismic data are typical nonlinear and nonstationary data. In the acquisition processing of seismic data, many factors interfere with it. contain both effective waves random noises, seriously affecting quality not conducive to goal fine interpretation subsequent Therefore, studying new denoising methods is beneficial for improving plays a very important role in interpretation. this paper, principle variational mode decomposition (VMD) 2D-VMD introduced detail, profile simple signal fault...

The acoustic wave equation is an important basis for seismic propagation, imaging, and migration. This has led to the development of finite difference methods, but these methods are prone numerical instability grid dispersion problems, with issue being most vital. Optimization can improve accuracy across a large range wavenumbers or frequencies. In this paper, we present novel evolutionary optimization scheme equation. Our approach involves combining fruit fly algorithm (FOA) sampling...

The brittleness index (BI) is an important parameter for coal-bed methane (CBM) reservoir fracturing characterization. Most published studies have relied on petrophysical and well-log data to estimate the geomechanical properties of rocks. major drawback such methods lack control away from well locations. Therefore, we developed a method combining BI calculation logs with that inverted 3D seismic overcome limitation. A real example given here indicate workflow. traditional...

ABSTRACT Gas content and brittleness characteristics, which are mostly quantified using the fluid factor index, key factors in evaluation of coal‐measure gas reservoirs, similar to traditional unconventional reservoirs. However, most previous seismic inversion research evaluations only focused on one parameters. Therefore, this study, we performed a combined index based pre‐stack records collected from typical block Sichuan Basin. First, new P–P wave reflection coefficient approximation both...